Hypertuning

image.png

Setup

In [1]:
#!conda install kaggle --yes
In [2]:
#!conda install hyperopt --yes
In [3]:
import datetime
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

import xgboost as xgb

from hyperopt import hp
from hyperopt import tpe
from hyperopt import Trials
from hyperopt import fmin
from hyperopt.pyll.stochastic import sample
from hyperopt import STATUS_OK
from hyperopt import STATUS_FAIL
from hyperopt import plotting

from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import OneHotEncoder
from sklearn.pipeline import Pipeline
from sklearn.compose import ColumnTransformer
from sklearn.model_selection import train_test_split
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import RandomizedSearchCV

from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
from sklearn.metrics import classification_report
from sklearn.metrics import log_loss

from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import VotingClassifier

Data

image.png

In [4]:
!kaggle competitions download -c ghouls-goblins-and-ghosts-boo -p ./ghost
ghouls-goblins-and-ghosts-boo.zip: Skipping, found more recently modified local copy (use --force to force download)
In [5]:
!(cd ghost; unzip -o ghouls-goblins-and-ghosts-boo.zip)
!(cd ghost; unzip -o train.csv.zip)
Archive:  ghouls-goblins-and-ghosts-boo.zip
  inflating: sample_submission.csv.zip  
  inflating: test.csv.zip            
  inflating: train.csv.zip           
Archive:  train.csv.zip
  inflating: train.csv               
In [6]:
!ls ghost
ghouls-goblins-and-ghosts-boo.zip train.csv
sample_submission.csv.zip         train.csv.zip
test.csv.zip
In [7]:
df = pd.read_csv('ghost/train.csv')
In [8]:
df.head()
Out[8]:
id bone_length rotting_flesh hair_length has_soul color type
0 0 0.354512 0.350839 0.465761 0.781142 clear Ghoul
1 1 0.575560 0.425868 0.531401 0.439899 green Goblin
2 2 0.467875 0.354330 0.811616 0.791225 black Ghoul
3 4 0.776652 0.508723 0.636766 0.884464 black Ghoul
4 5 0.566117 0.875862 0.418594 0.636438 green Ghost

Features & Target

Column Types

In [9]:
df.dtypes
Out[9]:
id                 int64
bone_length      float64
rotting_flesh    float64
hair_length      float64
has_soul         float64
color             object
type              object
dtype: object
In [10]:
y = df['type']
X = df.drop(columns=['type', 'id'])
In [11]:
X.shape, y.shape
Out[11]:
((371, 5), (371,))

EDA

Missing

In [12]:
X.isna().sum()
Out[12]:
bone_length      0
rotting_flesh    0
hair_length      0
has_soul         0
color            0
dtype: int64

Class Balance

In [13]:
df.groupby('type').size().plot.bar()
Out[13]:
<matplotlib.axes._subplots.AxesSubplot at 0x117713390>

Pair Plot

  • There is some grouping, but not really separable
  • Possible that we could project this data to a different space could help
  • Interactions may be useful
In [14]:
sns.pairplot(df[['bone_length', 'rotting_flesh', 'hair_length', 'has_soul', 'type']], hue='type')
Out[14]:
<seaborn.axisgrid.PairGrid at 0x1176f1b38>

Color

  • Not a lot of separation here
  • Perhaps, clear is a little less likely to be a ghost
  • And if you have blood color not as likely to be a goblin
In [15]:
plt.figure(figsize=(10,8))
sns.countplot(x='color', hue='type', data=df)
Out[15]:
<matplotlib.axes._subplots.AxesSubplot at 0x11a0a8f98>

Metrics

In [16]:
def errors(y, yhat):
    accuracy = accuracy_score(yhat, y)
    print('Accuracy', accuracy)
    print('Confusion Matrix')
    print(confusion_matrix(yhat, y))
    print('Classification Report')
    print(classification_report(yhat, y))
    return accuracy
In [17]:
resultsDF = pd.DataFrame(columns=['Time', 'Accuracy'])

Pipeline

In [18]:
featuresN = ['bone_length', 
             'rotting_flesh',
             'hair_length',
             'has_soul']
transformerN = Pipeline(steps=[('scaler', StandardScaler())], verbose=True)

featuresC = ['color']
transformerC = Pipeline(steps=[('ohe', OneHotEncoder())], verbose=True)

preprocessor = ColumnTransformer(transformers=[
    ('numerical', transformerN, featuresN),
    ('categorical', transformerC, featuresC)
])
In [19]:
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=46)
X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=46)
In [20]:
pipe = Pipeline(steps=[('pre', preprocessor)])
X_train_proc = pipe.fit_transform(X_train, y_train)
X_val_proc   = pipe.fit_transform(X_val, y_val)
X_test_proc  = pipe.fit_transform(X_test, y_test)
[Pipeline] ............ (step 1 of 1) Processing scaler, total=   0.0s
[Pipeline] ............... (step 1 of 1) Processing ohe, total=   0.0s
[Pipeline] ............ (step 1 of 1) Processing scaler, total=   0.0s
[Pipeline] ............... (step 1 of 1) Processing ohe, total=   0.0s
[Pipeline] ............ (step 1 of 1) Processing scaler, total=   0.0s
[Pipeline] ............... (step 1 of 1) Processing ohe, total=   0.0s

Baseline Model

  • Split Train - Validation - Test
In [21]:
bst = xgb.XGBClassifier(n_estimators=10000,
                       max_depth=4,
                       objective='mlogloss',
                       num_class=3,
                       learning_rate=0.1,
                       verbosity=1)

Fit

In [22]:
startDefault = datetime.datetime.now()
eval_set = [(X_val_proc, y_val)]
bst.fit(X_train_proc, y_train,
        early_stopping_rounds=5,
        eval_metric=[ 'merror', 'mlogloss'],
        eval_set=eval_set,
        verbose=True)
endDefault = datetime.datetime.now()
[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.04431
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00265
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.969908
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.943569
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.920085
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.899691
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.880294
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.861652
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.850396
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.841422
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.829942
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.823159
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.812241
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.810833
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.8124
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.804465
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.805445
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.798504
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.794427
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.790419
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.787147
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.78924
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.784578
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.783383
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.789195
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.790584
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.793064
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.795901
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.794447
Stopping. Best iteration:
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.783383

In [23]:
defaultTime = (endDefault - startDefault).seconds
print(f'Default took {defaultTime} seconds')
Default took 0 seconds

Predict

In [24]:
proba = bst.predict_proba(X_test_proc, bst.best_iteration)
pred  = np.argmax(proba, axis=1)
truth = y_test.astype('category').cat.codes
acc   = errors(truth, pred);
Accuracy 0.6666666666666666
Confusion Matrix
[[19  0  3]
 [ 5 17  8]
 [ 3  6 14]]
Classification Report
              precision    recall  f1-score   support

           0       0.70      0.86      0.78        22
           1       0.74      0.57      0.64        30
           2       0.56      0.61      0.58        23

    accuracy                           0.67        75
   macro avg       0.67      0.68      0.67        75
weighted avg       0.67      0.67      0.66        75

Log Results

In [25]:
resultsDF.loc['Default'] = [defaultTime, acc]
resultsDF
Out[25]:
Time Accuracy
Default 0.0 0.666667

Leaderboard

  • Most scores around .758 to .752
  • Test-Train-Val split lags the leaderboard .666
  • Not surprising ... We didn't:
    • Attempt feature engineering
    • Hypertune XGBoost (Used some simple settings)
In [26]:
!kaggle competitions leaderboard -c ghouls-goblins-and-ghosts-boo --show
teamId  teamName                            submissionDate       score    
------  ----------------------------------  -------------------  -------  
411720  Victor Kasatkin overfits PLB        2016-12-01 07:51:50  1.00000  
397199  anokas and his overfitting bazooka  2016-11-24 09:59:07  0.80718  
402601  HangYu                              2016-12-01 04:30:22  0.77504  
413031  Daqi's overfitting Bazinga          2016-11-29 18:44:57  0.77315  
414968  the 10 minute overfit               2016-12-01 08:25:34  0.76937  
405019  DDerek                              2016-12-01 11:57:29  0.76748  
411108  Jeans                               2016-12-01 17:33:56  0.76748  
414353  exCite                              2016-12-01 02:00:36  0.76559  
419851  victor                              2016-12-01 19:00:15  0.76370  
419903  Ghost                               2016-12-01 19:18:10  0.76370  
400304  Prakhar Agarwal                     2016-12-01 19:22:25  0.76370  
398369  Gilles Vandewiele                   2016-11-28 16:09:17  0.76181  
417571  shaka                               2016-12-01 01:55:58  0.76181  
403046  alitvin                             2016-12-01 19:22:13  0.75992  
409646  Marta Klimaszewska                  2016-12-01 08:37:33  0.75992  
419799  trail                               2016-12-01 18:48:31  0.75992  
402429  Boris Filippov                      2016-12-01 23:53:12  0.75992  
413456  SISU                                2016-11-28 00:08:11  0.75803  
418263  shall                               2016-12-01 01:43:02  0.75803  
417196  yoyoyo                              2016-12-01 08:33:19  0.75803  
396954  MahirKukreja                        2016-12-01 08:40:08  0.75803  
419709  overfit                             2016-12-01 18:34:18  0.75803  
406998  Farzi100                            2016-12-01 18:39:05  0.75614  
400229  d4t4sc13nt1st                       2016-11-25 08:34:48  0.75614  
404822  Wei Sun                             2016-11-28 01:19:59  0.75614  
411175  AyanAdhikari                        2016-11-28 05:51:15  0.75614  
415501  JoyTest3                            2016-11-30 14:25:51  0.75614  
413216  JoyGarfield                         2016-11-30 14:34:14  0.75614  
398089  Velibor Ilic                        2016-11-28 17:18:11  0.75425  
405345  PaulG                               2016-11-25 04:06:06  0.75425  
415165  gwsan826                            2016-12-01 14:30:25  0.75425  
414787  JADS Keje                           2016-11-29 12:54:41  0.75425  
413961  Lynn                                2016-12-01 12:29:12  0.75425  
396888  Kirill Olmezov                      2016-12-01 06:48:28  0.75425  
397026  Aakashaggawral                      2016-12-01 07:58:28  0.75425  
402193  Rubén Avalos                        2016-11-14 03:40:35  0.75236  
403038  l-ray                               2016-11-12 16:09:45  0.75236  
411851  AnadiChaturvedi                     2016-11-26 18:25:25  0.75236  
412605  LucguQolfiera                       2016-11-26 08:52:30  0.75236  
402411  GauravJoshi                         2016-11-27 14:11:41  0.75236  
415104  aliyahdamar                         2016-11-25 10:45:53  0.75236  
415609  TCWQBY                              2016-11-27 02:31:28  0.75236  
415664  kkks                                2016-11-30 17:50:52  0.75236  
417239  Anjith George                       2016-12-01 19:29:55  0.75236  
403713  Alexander Vasilenko                 2016-12-01 06:53:24  0.75236  
398535  Kirill Kuts                         2016-12-01 07:00:02  0.75236  
414582  JoyTest                             2016-11-30 14:15:45  0.75236  
402862  soft201mssb                         2016-11-30 15:54:33  0.75236  
415856  Boozebulak                          2016-12-01 00:08:23  0.75236  
416186  sourav kalra                        2016-12-01 07:50:16  0.75236  

XGBoost Parameters

  • Controlling model complexity
    • max_depth : Max allowable depth of nodes (splits)
    • min_child_weight : Minimum child weight to create a leaf node
    • gamma : Minium loss reduction required to make a further split on a node
  • Adding randomness to make training robust to noise
    • subsample : sample % of training data for an iteration
    • colsample_bytree : sample % of columns available for an iteration
In [27]:
param_grid = {'max_depth': [2,4,6,8],
              'min_child_weight': [1,2,3,4,5],
              'gamma': [0.0, 0.1, 0.2, 0.3],
              'subsample':[0.6, 0.8, 1.0],
              'colsample_bytree':[0.6, 0.8, 1.0]}

Grid Search

  • Grid search is exhaustive, trying all combinations
  • Expensive in terms of compute and time
  • In our example we'll search over 5 common parameters with early stop
  • That's 4 5 4 3 3 models = 720 searches
  • Each model is being cross fold validated as well 720 * 3 = 2,160
  • Over 2 minutes to train
  • In Battleship terms - it's the equivalent of putting a peg in each hole
In [28]:
startGrid = datetime.datetime.now()
fit_params = {'early_stopping_rounds':5,
             'eval_metric': [ 'merror', 'mlogloss'],
             'eval_set': [(X_val_proc, y_val)]}

kfold = StratifiedKFold(n_splits=3, random_state=8)
              
model = xgb.XGBClassifier(n_estimators=10000,
                       objective='mlogloss',
                       num_class=3,
                       learning_rate=0.1,
                       verbosity=0)
              
gridsearch = GridSearchCV(model, param_grid, 
                          verbose=0,
                          cv=kfold)
              
gridsearch.fit(X_train_proc, y_train, **fit_params)
endGrid = datetime.datetime.now()
[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05726
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02672
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00005
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.970093
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.962484
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.941913
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.924615
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.909442
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.888094
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.872431
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.859473
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.845054
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.832724
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.823359
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.812038
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.807477
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.795286
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.78303
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.777331
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.772807
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.764871
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.758117
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.751434
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.744867
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.732936
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.72582
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.711215
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.705201
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.702354
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.695727
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.691588
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.687794
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.68322
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.680128
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.679928
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.679019
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.677465
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.672384
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.673229
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.668839
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.669584
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.670817
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.665535
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.664641
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.660614
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.657051
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.656735
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.655025
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.653599
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.655258
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.65176
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.652799
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.653979
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.657605
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.656571
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.654584
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.65176

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06397
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.04005
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00421
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.983026
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.954007
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.932684
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.911895
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.89587
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.875726
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.859092
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.842363
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.830486
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82381
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.816299
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.809372
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.800594
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.794176
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.788413
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.784841
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.776186
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.773666
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.767164
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.766118
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.761321
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.759534
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.756347
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.752534
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.748947
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.742317
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.741077
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.741177
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.738471
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.736673
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.733443
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.736995
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.737276
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.730554
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.731618
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.729974
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.728248
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.72674
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.722755
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.72244
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.717819
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.716316
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.717931
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.721155
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.7183
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.720313
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.725663
Stopping. Best iteration:
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.716316

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.0702
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.04471
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00802
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.992068
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.962353
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.937658
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.91848
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.900922
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.880632
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.868598
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.848
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.834827
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.820317
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.802036
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.785859
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.780717
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.772189
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.768709
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.756744
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.750355
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.745919
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.738502
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.7321
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.724758
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.723126
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.7175
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.713498
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.708177
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.702292
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.696366
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.688621
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.684886
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.680643
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.68147
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.679085
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.677782
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.671354
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.66944
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.667937
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.666297
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.663336
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.657504
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.657022
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.652109
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.649619
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.648651
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.650012
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.649014
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.648326
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.646968
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.647074
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.646275
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.641551
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.643245
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.64654
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.644074
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.643573
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.641317
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.639834
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.638715
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.637675
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.638956
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.639532
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.638424
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.638963
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.638923
Stopping. Best iteration:
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.637675

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05311
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01885
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.992598
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.963711
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.955657
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.928463
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.908113
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.890626
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.872198
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.853284
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.839063
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.82336
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.809987
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.800039
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.79068
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.783709
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774562
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.764244
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.758715
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.751995
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.745963
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.740657
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.729358
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.724272
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.716023
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.711084
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.702963
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.70082
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.698071
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.694392
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.68956
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.686294
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.681846
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.677512
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.674934
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.672801
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.668867
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.671195
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.674499
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.671647
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.671595
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.670747
Stopping. Best iteration:
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.668867

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06436
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03619
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00717
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.980242
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.953412
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.931024
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.914544
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.90011
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.879913
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.86483
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.854175
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.845798
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.836277
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.827399
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.818281
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.808614
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.806005
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.802553
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.794484
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.791437
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.784541
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.780107
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.77542
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.769051
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.767334
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.762715
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.754631
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.754877
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.750858
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.748636
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.746096
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.746702
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.743528
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.738334
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.738402
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.736847
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.736056
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.736316
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.734388
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.733676
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.733773
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.733509
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.733263
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.731822
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.731228
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.727515
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.727241
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.727027
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.723957
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.725611
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.727331
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.728934
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.73233
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.732391
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.723957

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06927
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04446
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.01187
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.988847
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.965723
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.945113
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.927134
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.911513
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.888025
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.872132
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.858835
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.845672
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.83299
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.822731
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.811514
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.803633
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.797046
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.786525
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.775789
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.768763
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.766245
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.762248
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754151
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.747227
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.738935
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.733767
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.729382
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.724323
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.71763
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.711591
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.70733
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.705056
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.699092
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.700934
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.695788
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.693253
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.688658
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.686175
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.68118
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.679864
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.677099
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.676378
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.674583
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.67207
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.673698
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.671131
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.667934
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.668301
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.667989
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.670742
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.668768
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.667112
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.665827
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.668284
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.667383
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.666523
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.664038
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.661252
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.660081
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.657832
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.653757
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.654029
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.65482
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.656574
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.658629
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.655356
Stopping. Best iteration:
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.653757

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05659
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02433
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.993379
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970753
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.941311
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917251
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.901316
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.890118
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.875711
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.861543
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.848222
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.83528
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.821018
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.807454
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.797752
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.786212
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.778489
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.768327
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.758967
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.749477
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.742257
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.737656
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.730777
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.727086
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.723979
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.719298
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.716351
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.713679
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.711996
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.706465
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.704045
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.699302
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.698404
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.694986
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.693946
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.692347
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.685758
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.680665
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.682319
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.679835
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.678433
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.676146
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.673986
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.674941
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.675368
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.676333
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.675444
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.675973
Stopping. Best iteration:
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.673986

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06173
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0324
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.0066
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.987192
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.961958
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.936442
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.92171
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.911402
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.897534
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.883863
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.870499
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.855375
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.841011
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.828179
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.820683
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.816872
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.808566
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.802375
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.796988
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.788644
[20]	validation_0-merror:0.416667	validation_0-mlogloss:0.785776
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.783286
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.780444
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.775986
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.772234
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.769093
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.764629
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.762103
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.758172
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.757286
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.758489
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.757251
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.751264
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.74991
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.746382
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.742298
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.745241
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.744602
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.73956
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.738633
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.73819
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.734765
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.733885
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.73114
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.72826
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.727893
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.73092
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.730796
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.730199
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.729429
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.727311
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.727092
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.725598
[53]	validation_0-merror:0.383333	validation_0-mlogloss:0.724639
[54]	validation_0-merror:0.366667	validation_0-mlogloss:0.723362
[55]	validation_0-merror:0.366667	validation_0-mlogloss:0.721918
[56]	validation_0-merror:0.383333	validation_0-mlogloss:0.720726
[57]	validation_0-merror:0.383333	validation_0-mlogloss:0.72246
[58]	validation_0-merror:0.383333	validation_0-mlogloss:0.7241
[59]	validation_0-merror:0.366667	validation_0-mlogloss:0.726374
[60]	validation_0-merror:0.383333	validation_0-mlogloss:0.725002
[61]	validation_0-merror:0.383333	validation_0-mlogloss:0.728028
Stopping. Best iteration:
[56]	validation_0-merror:0.383333	validation_0-mlogloss:0.720726

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07327
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04155
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.01652
[3]	validation_0-merror:0.4	validation_0-mlogloss:1.00152
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.985254
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.961206
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.946625
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.935171
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.917596
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.902731
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.883005
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.868999
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.851613
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.841103
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.82895
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.823836
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.812416
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.803686
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792047
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.781897
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.774156
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.768709
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.761214
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.755071
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.748235
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.742894
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.736713
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.731613
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.725749
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.721233
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.721734
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.716475
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.709097
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.705282
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.701222
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.697834
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.69484
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.691976
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.687741
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.685331
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.6824
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.679623
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.677447
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.674029
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.671614
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.669057
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.668769
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.665902
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.663023
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.659635
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.659021
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.657203
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.654936
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.655711
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.65394
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.655043
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.652906
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.649732
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.648964
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.648644
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.646482
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.643836
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.642309
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.641841
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.641349
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.642744
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.640679
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.640056
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.63828
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.637545
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.636601
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.635989
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.637109
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.635407
[74]	validation_0-merror:0.266667	validation_0-mlogloss:0.63762
[75]	validation_0-merror:0.266667	validation_0-mlogloss:0.6375
[76]	validation_0-merror:0.266667	validation_0-mlogloss:0.636783
[77]	validation_0-merror:0.266667	validation_0-mlogloss:0.639176
[78]	validation_0-merror:0.266667	validation_0-mlogloss:0.638271
Stopping. Best iteration:
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.635407

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05486
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02446
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00217
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.973142
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.964394
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.945688
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.930538
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.912778
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.894663
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.879073
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.86606
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.851451
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.838905
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.833366
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.821578
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.816116
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.803412
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.791672
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.78771
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.779589
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.770713
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.766226
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.759617
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.753009
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.741547
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.736062
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.724558
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.717873
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.710895
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.701571
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.697236
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.694533
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.688874
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.684511
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.684584
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.682374
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.680887
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.67637
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.675571
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.671382
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.671649
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.672126
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.666253
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.665661
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.662109
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.658498
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.656395
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.653907
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.650392
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.652636
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.64955
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.651596
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.651945
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.654946
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.654185
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.652313
Stopping. Best iteration:
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.64955

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06427
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0391
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00336
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.983009
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.954928
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.934116
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.913014
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.896259
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.877359
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.859782
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.844168
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.832009
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.825297
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.816312
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810465
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.801231
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.794823
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.78931
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.78559
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.777862
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.775261
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769154
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.767542
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.763933
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.761418
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.758335
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755593
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.753148
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.750705
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.749362
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.748864
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.746803
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.745038
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.742102
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.746017
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.745663
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.7401
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.740541
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.738318
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.736863
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.734957
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.733833
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.73132
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.728538
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.728422
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.730718
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.736314
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.731562
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.732175
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.737798
Stopping. Best iteration:
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.728422

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06995
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.04421
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.0075
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.991617
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.963321
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.938512
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.919439
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.902402
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.884528
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.870558
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.849593
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.836355
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.822046
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.803487
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.787563
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.782285
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.774011
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.770046
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.757988
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.751775
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.747179
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.73825
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731789
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.724057
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.722315
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.718493
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.710111
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.703603
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.697085
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.693548
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.686246
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.683264
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.679226
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.680086
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.677511
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.677764
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.670017
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.669026
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.668005
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.666201
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.663256
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.658127
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.660446
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.654729
[44]	validation_0-merror:0.233333	validation_0-mlogloss:0.654145
[45]	validation_0-merror:0.25	validation_0-mlogloss:0.65297
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.657086
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.655658
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.653793
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.654681
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.654837
Stopping. Best iteration:
[45]	validation_0-merror:0.25	validation_0-mlogloss:0.65297

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05287
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01811
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.991785
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962936
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.954847
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.928676
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.905885
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.889106
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.870694
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.852717
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.838507
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823934
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810909
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.802584
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.792219
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.78538
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77652
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.765916
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759989
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.753671
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.746915
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.740689
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.729444
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.72573
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.717407
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.71096
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.702981
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.70082
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.698349
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.694497
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.688484
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.683107
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.679035
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.676534
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.673719
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.670537
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.667352
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.669041
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.671333
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.668682
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.669156
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.668188
Stopping. Best iteration:
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.667352

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06411
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0359
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00639
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.97892
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.952764
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.92984
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.913195
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.899084
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.879015
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.863813
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853256
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.844964
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.835668
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.826895
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.817125
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.808029
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.805108
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.801176
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.792264
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.789155
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.782078
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.778388
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.773782
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.767711
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.766198
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.761437
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.754271
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.754668
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.75318
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.750778
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.750656
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.751011
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.747709
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.742793
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.744469
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.741861
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.741471
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.740811
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.739528
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.739741
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.737994
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.740607
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.740183
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.739272
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.73809
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.737355
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.736702
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.738756
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.734465
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.738345
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.739917
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.744885
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.74773
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.748397
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.734465

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06861
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.04111
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00945
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.984948
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.961854
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.942788
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.925134
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.910981
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.889733
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.873623
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.861209
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.848962
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.835572
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.825223
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.813685
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.80597
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800897
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.792799
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.783324
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.776316
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.775903
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.774169
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.767243
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.760337
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.752418
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.74698
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.740965
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.736126
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.728916
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.72289
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.719175
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.71639
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.709442
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.710111
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.704888
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.704377
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.699947
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.694736
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.691318
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.688946
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.685385
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.686035
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.683101
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.681462
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.681936
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.680782
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.67674
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.676037
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.67313
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.675375
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.672931
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.669576
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.668356
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.668332
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.669747
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.667857
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.666419
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.663253
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.661342
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.658856
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.656191
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.656525
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.65796
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.659788
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.661455
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.658163
Stopping. Best iteration:
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.656191

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05659
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02327
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992351
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.969668
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.941287
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916239
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.901263
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.890077
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.876154
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.862492
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.84947
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.835863
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.820957
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808208
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798967
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.787353
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.777866
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.76886
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759627
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.752763
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.747292
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.742192
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.737305
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.73387
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.731388
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.724832
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722344
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.719389
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.716229
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.710128
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.708123
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.70368
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.702439
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.700229
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.700544
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.698334
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.695289
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.688854
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.689488
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.688042
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.68672
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.684862
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.682828
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.68264
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.680117
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.680719
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.679748
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.677869
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.677795
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.675586
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.67387
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.675026
[52]	validation_0-merror:0.25	validation_0-mlogloss:0.672754
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.671707
[54]	validation_0-merror:0.25	validation_0-mlogloss:0.673548
[55]	validation_0-merror:0.25	validation_0-mlogloss:0.673089
[56]	validation_0-merror:0.25	validation_0-mlogloss:0.673863
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.673548
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.674028
Stopping. Best iteration:
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.671707

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06166
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03201
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00622
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.985205
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.961256
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.93559
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.920402
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.909482
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.894399
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.880583
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.867074
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.851762
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.836474
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.823891
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.815614
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.81208
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.803284
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.796122
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.792537
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783889
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.778132
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.775328
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.770555
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.76738
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.763564
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.760935
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.756181
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.753253
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.747772
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.747853
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.747119
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.748032
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.741156
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.740632
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.733865
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.730248
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.731136
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.730109
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.728913
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.726362
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.725382
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.722319
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.72146
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.722081
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.721136
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.722441
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.722888
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.72414
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.724528
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.724816
Stopping. Best iteration:
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.721136

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07283
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.04079
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.01534
[3]	validation_0-merror:0.4	validation_0-mlogloss:1.00047
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.978458
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.954362
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.938961
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.927469
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.911015
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.89471
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.87492
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.85867
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.842522
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.831972
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.82273
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818552
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.807056
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.798457
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789723
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.779982
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.773175
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.767748
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.760351
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.752685
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74571
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.740351
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.73394
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.730755
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.725227
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.721245
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.716768
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.715296
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.708171
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.704038
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.700995
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.696632
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.692527
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.688928
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.685682
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.683338
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.679175
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.677388
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.676979
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.673149
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.671976
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.668368
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.667189
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.66532
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.662727
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.660987
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.657874
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.656547
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.655461
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.655709
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.654382
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.652049
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.650394
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.651085
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.650705
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.650945
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.648217
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.64905
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.651222
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.652319
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.652516
[65]	validation_0-merror:0.25	validation_0-mlogloss:0.648699
Stopping. Best iteration:
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.648217

[0]	validation_0-merror:0.516667	validation_0-mlogloss:1.05973
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03024
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00708
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.978927
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.970171
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.950777
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.935343
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.917739
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.896306
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.880408
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.867004
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.851871
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.839479
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.831087
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.819678
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.816715
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.804342
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.792552
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.787226
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.779079
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.771369
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.763948
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.755766
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748722
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.737659
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.735079
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.723707
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.716562
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.710044
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.704176
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.699524
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.695173
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.692389
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.687478
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.684533
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.683179
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.68015
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.67484
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.675786
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.673585
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.673107
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.673536
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.670082
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.667671
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.665475
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.662451
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.661739
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.660389
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.656364
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.657833
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.653946
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.65518
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.656299
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.660182
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.660246
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.658987
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.653946

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06418
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03984
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00519
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.984303
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.95629
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.935455
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.913727
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.89746
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.878719
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.861922
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.846851
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.834648
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.825608
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.817756
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.812292
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.803212
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.797079
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.792344
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789514
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.781325
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.777404
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.774023
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.772337
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.768385
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.76681
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.763875
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.761818
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.755485
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.752226
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.750786
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.752627
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.74922
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.747074
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.744215
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.74711
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.748495
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.742711
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.744996
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.744948
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.743936
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.741792
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.736997
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.735062
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.732108
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.728656
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.729937
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.730807
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.727342
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.728747
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.736573
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.735534
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.740099
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.739852
Stopping. Best iteration:
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.727342

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.07382
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04741
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.01075
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.993529
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.966689
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.942827
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.925947
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.908469
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.89063
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.874181
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.852575
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.838372
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.823687
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.808173
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.796822
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.79181
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.783246
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.778207
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.765732
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.759399
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.754498
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.745437
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.740598
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.732283
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.730974
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.726875
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.719272
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712918
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.708409
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.704593
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.69693
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.693037
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.687267
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.688976
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.686292
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.687575
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.681507
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.678452
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.678393
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.676528
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.673049
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.667259
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.667764
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.663693
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.660713
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.659681
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.662846
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.662691
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.663555
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.663614
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.665085
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.659681

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05261
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01782
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.992705
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.964269
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.956251
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.930094
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.908962
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.891945
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.874153
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855948
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.843446
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.828872
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.81504
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.806665
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.795371
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788301
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77999
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.771455
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.76664
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.760392
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.752392
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.747879
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.736782
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.73228
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.723948
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.717639
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.709518
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.706367
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.703325
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.699366
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.694745
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.691241
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.688811
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.68665
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.683986
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.680629
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.677847
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.679097
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.680314
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.674044
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.67306
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.67194
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.670248
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.668925
[44]	validation_0-merror:0.233333	validation_0-mlogloss:0.666361
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.665198
[46]	validation_0-merror:0.25	validation_0-mlogloss:0.662745
[47]	validation_0-merror:0.25	validation_0-mlogloss:0.65906
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.654552
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.656336
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.655755
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.656543
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.655041
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.656073
Stopping. Best iteration:
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.654552

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06563
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04086
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.01125
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.986634
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.96034
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.937294
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.920924
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.90442
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.883774
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.868595
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.857799
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.850257
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.8415
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.83184
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.822712
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.8134
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.810381
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.805861
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.7991
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.794902
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.787787
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.784001
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.780208
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.776192
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.776249
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.771284
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.764164
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.761654
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.758284
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.755639
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.75624
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.756856
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.752659
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.747722
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.749419
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.745791
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.746031
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.749222
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.746593
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.745488
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.744501
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.745168
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.744486
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.745262
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.742522
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.74476
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.743085
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.745899
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.742443
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.746309
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.745143
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.7465
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.749489
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.751631
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.742443

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06861
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.04111
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00945
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.984948
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.961854
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.944849
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.926845
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.912751
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.891799
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.875729
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.862813
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.850782
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.838405
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.830329
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.818491
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.812028
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.807334
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.799279
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789475
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.782387
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.781824
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.777924
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.771173
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.764862
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.756241
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.749097
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.743774
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.738958
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.731469
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.723621
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.723049
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.719294
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.713339
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.71363
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.708521
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.707817
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.702457
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.69661
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.693861
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.691267
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.687273
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.6873
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.684491
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.682217
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.683075
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.681227
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.680979
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.679826
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.677561
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.679328
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.677343
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.677277
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.676095
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.677058
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.676279
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.674584
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.672602
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.66874
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.667736
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.667032
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.668415
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.666382
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.668724
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.670424
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.673682
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.6711
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.671397
Stopping. Best iteration:
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.666382

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05742
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02405
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995359
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.97231
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.946137
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.920998
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905756
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.894511
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.880604
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.865984
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.852836
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.837706
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.824067
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.811242
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.802524
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.79264
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.782823
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772963
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.762158
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.752865
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.745237
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740095
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.733499
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.729344
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.72618
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.72138
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.716981
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712863
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.70995
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.703965
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.701081
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.695015
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.693564
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.689435
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.688647
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.68802
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.682851
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.680074
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.678392
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.676821
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.677118
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.67428
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.672115
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.669009
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.671483
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.673071
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.672619
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.670479
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.670984
Stopping. Best iteration:
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.669009

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06156
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03459
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.01134
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.989289
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.963289
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.937363
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.921908
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.910652
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.895338
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.882026
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.868372
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.853355
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.839952
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.827391
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.818132
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.807608
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.799195
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.792338
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.787253
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.780018
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.774906
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.771937
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.765032
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.759926
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.756021
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.751974
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.749383
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.747216
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.741764
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.739006
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.735889
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.736938
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.733848
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.733275
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.731009
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.731996
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.733299
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.734311
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.732229
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.729908
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.732855
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.733974
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.733572
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.733203
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.734443
Stopping. Best iteration:
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.729908

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.04022
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.0149
[3]	validation_0-merror:0.416667	validation_0-mlogloss:1.00018
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.978736
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.954018
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.939694
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.928203
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.9107
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.89442
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.874744
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.858407
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.843294
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.830995
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.821092
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.81669
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.803817
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.796114
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789008
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.778863
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.770779
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.765981
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.758443
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.750914
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74301
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.737909
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.732757
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.730873
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.724698
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722685
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.720467
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.71423
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.707572
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.704181
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.698708
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.695366
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.691849
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.688992
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.685716
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.6842
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.679769
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.676188
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.675574
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.67398
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.671508
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.667761
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.665819
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.663422
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.661533
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.660581
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.66062
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.658757
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.657171
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.654581
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.654765
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.653778
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.651644
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.649862
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.648726
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.649118
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.646019
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.643818
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.643575
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.643296
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.643471
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.643041
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.641833
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.64289
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.643113
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.644807
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.645039
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.647281
Stopping. Best iteration:
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.641833

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06182
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00317
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.974913
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.966137
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.942358
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.92699
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.909804
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.88852
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.872456
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.859462
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.845132
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.832947
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.821782
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.811553
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.807178
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.793583
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.781242
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.777441
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.771352
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.762635
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.756267
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.748287
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.742891
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.732077
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.731273
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722296
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.715417
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.708905
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.703062
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.698223
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.692581
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.689461
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.684366
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.681448
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.678319
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.676473
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.67233
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.674438
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.671552
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.674322
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.672151
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.668269
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.66693
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.665741
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.663957
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.664686
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.663907
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.660207
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.662348
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.659756
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.662325
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.663284
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.665104
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.664102
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.662624
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.659756

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06418
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03984
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00519
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.984303
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.955764
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.935623
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.913851
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.897672
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.878141
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.863235
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.847267
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.834842
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.827679
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.818549
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.812877
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.803838
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.79823
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.790339
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.787313
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.779323
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775043
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.767971
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.766865
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.763102
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.762323
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.759201
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.7575
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.753804
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.751542
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751702
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.752145
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.750302
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.748683
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.744186
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.747131
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.74926
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.747087
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.749964
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.749812
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.744186

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.07127
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.04485
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00898
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.991839
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.966972
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.943316
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.925671
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.908602
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.89129
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.876832
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.8557
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.841613
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.828364
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.812968
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.801684
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795757
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.789442
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.78366
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.774946
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.768414
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.761864
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.752571
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.746554
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.737579
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.73816
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.731795
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.728541
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.722374
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.717303
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.713368
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.709737
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704853
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.701057
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.701787
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.698584
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.698987
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.692326
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.690909
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.689124
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.686541
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.681657
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.676514
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.679405
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.674721
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.672956
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.669386
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.672325
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.671814
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.671365
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.672867
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.6728
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.669386

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0547
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01957
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.99458
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966839
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.958943
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932493
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.909074
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.891826
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875072
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.857967
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.843932
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.828628
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.816014
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.806734
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.795872
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.790155
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.779588
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771485
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.766112
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.759816
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.750808
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.746333
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.735302
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.73012
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.721739
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.716312
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.710863
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.707785
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.704058
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.700902
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.697828
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.69343
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.689791
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.686598
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.684487
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.681096
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.679082
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.679298
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.681091
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.674972
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.673956
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.672875
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.672444
[43]	validation_0-merror:0.25	validation_0-mlogloss:0.669726
[44]	validation_0-merror:0.25	validation_0-mlogloss:0.666945
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.663048
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.660406
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.657154
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.653498
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.655301
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.654934
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.655226
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.650619
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.654171
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.653879
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.653533
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.653897
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.65161
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.650619

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06219
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03843
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00869
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.981789
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.954191
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.931642
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.915808
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.89986
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.879333
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.865424
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.854567
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.846162
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.83782
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.828786
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.819838
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.810714
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.807907
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.803078
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.796048
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.794073
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.784352
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.778706
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.774113
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.770188
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.770383
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.766309
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.759829
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.759318
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.757561
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.754977
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.755535
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.755722
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.753382
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.748151
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.748205
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.744295
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.742541
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.742432
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.740299
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.741779
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.740488
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.741385
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.74101
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.741683
Stopping. Best iteration:
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.740299

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.07074
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0423
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.01073
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.986024
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.963061
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.942179
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.92446
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.910531
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.894563
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.879321
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.866531
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.855156
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.84193
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.83376
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.821788
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.814803
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.808602
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800806
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.791072
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.78126
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.777613
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.774354
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.767426
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.760575
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.755606
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.748323
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.744388
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.73871
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.732164
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.724262
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.723976
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.72107
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.713933
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.713545
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.708245
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.705838
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.701953
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.698458
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.694758
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.693482
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.689005
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.688718
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.687611
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.685665
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.686991
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.684805
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.682689
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.680539
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.679172
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.68295
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.681087
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.679832
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.679226
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.678666
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.680195
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.678452
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.67479
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.673222
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.672696
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.672165
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.669004
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.671679
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.672313
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.67278
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.674728
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.670444
Stopping. Best iteration:
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.669004

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0601
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03035
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00159
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.978521
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.95296
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926278
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.910992
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901208
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.885473
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.87076
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.857689
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.842366
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.825885
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.81522
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.806469
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.796406
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.78697
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.777001
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.766488
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.759424
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.75058
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.746306
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.742464
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.738055
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.732723
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.72822
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.725763
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.72168
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.718844
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.713044
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.710175
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704415
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.700129
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.698049
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.696718
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.694915
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.692195
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.685956
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.686856
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.685934
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.687451
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.685535
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.684822
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.685226
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.687272
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.687645
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.684349
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.684769
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.685508
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.684852
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.683327
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.682549
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.681443
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.682935
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.683915
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.683523
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.68122
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.678471
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.676695
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.677958
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.676413
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.676109
[62]	validation_0-merror:0.316667	validation_0-mlogloss:0.67644
[63]	validation_0-merror:0.316667	validation_0-mlogloss:0.676353
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.677057
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.678986
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.678338
Stopping. Best iteration:
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.676109

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0648
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0377
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.01477
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.993513
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.968026
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.941723
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.926193
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.915534
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.900442
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.887429
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.873613
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.858799
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.844179
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.830021
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.821917
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.811552
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.802571
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.795573
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.790725
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.783998
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.779782
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.777152
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.769899
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.767802
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.763218
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.760161
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.756615
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.756415
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.752943
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.750606
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.74974
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.749606
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.747126
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.746178
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.743555
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.742738
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.740988
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.742496
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.74119
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.740039
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.741991
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.742247
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.741879
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.742146
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.742179
Stopping. Best iteration:
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.740039

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04312
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.01763
[3]	validation_0-merror:0.416667	validation_0-mlogloss:1.00282
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.986041
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.960856
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.946502
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.934973
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.917415
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.901096
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.881324
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.864698
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.849485
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.836998
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.827815
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.820748
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.808445
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.799403
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.79357
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.784624
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.776597
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.771664
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.764109
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.756378
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74847
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.74434
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740935
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.736456
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.731696
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.726364
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.725897
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.719262
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714428
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.710566
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707328
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.702554
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.699539
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.69665
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.693307
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.690666
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.68707
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.684344
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.680928
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.679057
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.67854
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.675919
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.675627
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.674091
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.672017
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.670588
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.671364
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.674077
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.672595
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.671203
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.673823
Stopping. Best iteration:
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.670588

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05485
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0265
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.9992
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.970148
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.961227
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.938107
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.92276
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.906327
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.884894
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.866937
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.852783
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.838433
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.826311
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.81429
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.804166
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.800159
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.788104
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.775835
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.77234
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766859
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.760664
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.75399
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.749005
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.744399
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.736318
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.734816
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.724387
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.718708
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.712263
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.709297
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.70407
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.699669
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.697398
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.695558
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.693691
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.690242
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.687251
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.687661
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.691136
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.687484
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.690118
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.68949
Stopping. Best iteration:
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.687251

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06397
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.04031
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.007
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.984669
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.95625
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935819
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.915366
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.898182
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.878245
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.861264
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.845149
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833292
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.826506
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.815575
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811041
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.802008
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.796878
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.789464
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.785489
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.777547
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.773624
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.76721
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.76605
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.762119
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.761068
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.758783
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755954
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.752698
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.749521
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.747164
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746626
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.743082
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.741588
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.740792
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.743993
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.742178
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.740328
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.742543
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.742628
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.742716
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.742103
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.737397
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.738033
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.736337
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.737573
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.734707
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.735083
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.73122
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.730096
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.730702
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.728016
[51]	validation_0-merror:0.366667	validation_0-mlogloss:0.732592
[52]	validation_0-merror:0.366667	validation_0-mlogloss:0.734735
[53]	validation_0-merror:0.383333	validation_0-mlogloss:0.736868
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.744182
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.741122
Stopping. Best iteration:
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.728016

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.07151
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.04437
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00847
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.991187
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.966359
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.942626
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.925226
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.908172
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.89016
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.874807
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.853887
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.839555
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.824671
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.809157
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.798304
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.793669
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.78677
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.781853
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.774461
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.769694
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.766063
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.756351
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.754461
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.748644
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.748729
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.744943
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.739234
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.732867
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.727438
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.723112
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.7245
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.718875
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.715071
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.714471
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.710818
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.709338
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.704331
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.701496
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.699736
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.696605
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.691326
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.687444
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.689633
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.686344
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.682082
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.678879
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.679617
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.680406
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.678512
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.680075
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.679003
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.677191
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.672537
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.671005
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.675508
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.673946
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.675671
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.677191
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.675622
Stopping. Best iteration:
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.671005

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05462
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.02132
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.99444
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966787
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.958751
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.932246
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.910637
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.892569
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.875461
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.858676
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.844149
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.829034
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.817759
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.81005
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.798314
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791965
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.78098
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771478
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.7647
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759668
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.750918
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.746658
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.735159
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.729004
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.719844
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.714215
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70755
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.705211
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.701757
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.701015
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.698706
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.695376
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.690558
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.686502
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.684423
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.680666
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.678144
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.677816
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.679454
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.673671
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.673396
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.672404
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.672545
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.671079
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.668209
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.66774
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.666187
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.665087
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.662603
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.664149
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.663642
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.665766
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.664029
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.667821
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.662603

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06212
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03714
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00786
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.980917
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.954327
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932207
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.915898
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.899902
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.878861
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.864879
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853592
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.844168
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.836155
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.828208
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.820106
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.80987
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.806651
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.80094
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.793955
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.790485
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.780798
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.774767
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.770411
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.766608
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.767732
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.763061
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.756663
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.756816
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.751859
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.748827
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.74782
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.747634
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.745878
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.74774
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.74747
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.743482
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.744078
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.744085
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.742124
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.7425
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.7412
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.742163
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.742237
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.743452
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.74145
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.743895
Stopping. Best iteration:
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.7412

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06886
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.04033
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00795
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.983324
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.961241
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.945325
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.927513
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.91379
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.898021
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.87927
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.867064
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.854769
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.841737
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.833762
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.82192
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.815
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.810284
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.802232
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.793029
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.785461
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.781908
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.778682
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.771738
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.765625
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.763353
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.756079
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.752213
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.746821
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.740059
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.735471
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.737812
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.733933
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.726888
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.729424
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.722663
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.719893
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.717025
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.712874
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.709811
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.709174
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.704553
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.704163
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.70355
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.705066
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.706445
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.702514
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.700677
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.699407
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.699874
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.70365
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.699602
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.700556
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.698155
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.699056
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.701031
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.699468
[56]	validation_0-merror:0.333333	validation_0-mlogloss:0.694697
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.691608
[58]	validation_0-merror:0.333333	validation_0-mlogloss:0.691458
[59]	validation_0-merror:0.333333	validation_0-mlogloss:0.691159
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.690229
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.692014
[62]	validation_0-merror:0.316667	validation_0-mlogloss:0.694844
[63]	validation_0-merror:0.316667	validation_0-mlogloss:0.695658
[64]	validation_0-merror:0.316667	validation_0-mlogloss:0.695988
[65]	validation_0-merror:0.316667	validation_0-mlogloss:0.693139
Stopping. Best iteration:
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.690229

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05904
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02915
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00026
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.977676
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.952623
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925844
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.910619
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.900814
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.885092
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.870469
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.857329
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.840931
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.826811
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.813646
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.804833
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.794746
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.785615
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.77556
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.765013
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.757759
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.750751
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.745012
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.738578
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.732727
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.728856
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.722917
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.719899
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.714601
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.713653
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.70957
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.706446
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.705322
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.704324
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.700988
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.699795
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.701238
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.699277
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.693021
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.693789
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.691768
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.693204
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.691052
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.690703
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.690839
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.689786
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.690356
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.68552
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.687478
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.688595
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.685753
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.685029
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.685509
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.68114
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.681079
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.680926
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.678881
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.678523
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.676592
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.676569
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.677429
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.673937
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.672951
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.673239
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.674465
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.674744
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.676855
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.676149
Stopping. Best iteration:
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.672951

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06302
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03594
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.01207
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.991244
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.96499
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.939397
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.923981
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.913567
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.898432
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.884327
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.870839
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.855431
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.840748
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.827581
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.819928
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.809857
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.800414
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.794425
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.788358
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.781379
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.777324
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.77458
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.768009
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.765006
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.761576
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.7584
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.75502
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.754114
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.750144
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.747812
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.747236
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.748583
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.745855
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.74488
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.741893
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.739291
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.742347
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.741918
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.741258
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.740367
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.740744
Stopping. Best iteration:
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.739291

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04312
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.01763
[3]	validation_0-merror:0.416667	validation_0-mlogloss:1.00282
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.984833
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.959738
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.945415
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.934464
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.917267
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.899559
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.879882
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.863467
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.84838
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.835863
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.826701
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.821736
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.809192
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.799597
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792978
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.783971
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.775952
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.770767
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.765621
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.758361
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.749896
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.746656
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.739393
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.733967
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.728375
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.722925
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.717585
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.717749
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.712736
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70878
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.70343
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.699923
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.695967
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.692703
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.68974
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.687487
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.684685
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.682269
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.677409
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.675353
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.672482
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.669474
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.666203
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.666504
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.666358
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.66462
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.663009
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.664018
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.662641
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.660644
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.663033
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.665467
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.663932
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.662177
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.660614
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.660638
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.658162
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.659049
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.659897
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.661109
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.660457
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.660313
Stopping. Best iteration:
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.658162

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.058
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0228
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.996423
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.961755
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.952762
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.927651
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.906666
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.892754
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875811
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.857486
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.845124
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.834618
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.819838
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.809269
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.802258
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.802466
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.789129
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.779399
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.772907
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.767219
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.757697
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.747651
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.740506
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.732297
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723723
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.723713
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.714544
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.710433
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.706731
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.700621
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.692721
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.690003
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.685902
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.680029
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.678994
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.676293
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.672834
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.665667
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.667003
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.662315
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.666123
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.666755
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.66512
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.665964
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.665591
Stopping. Best iteration:
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.662315

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06125
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03608
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.997516
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.971139
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.935974
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.91452
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.893281
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.87614
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858531
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.844742
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.828983
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818126
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.813794
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.805475
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.799016
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.787264
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.785607
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.780802
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.779438
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.772345
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.772657
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.766427
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765758
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.762053
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.764132
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.76236
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.758237
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.754593
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.749106
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.746862
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.744242
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.744606
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.746534
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.746519
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.75249
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.749054
Stopping. Best iteration:
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.744242

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06148
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03724
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.995145
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.972525
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.93675
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.915449
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904349
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.891631
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.872309
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.858044
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.840009
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.831777
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.820725
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.806014
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789916
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.78277
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774842
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.772281
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.761691
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.752965
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.751233
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.746187
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.739238
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.731951
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.729585
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.724172
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.715673
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.709201
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.707047
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.703684
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.701385
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.701487
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.700153
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.702249
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.705034
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.710312
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.70578
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.705919
Stopping. Best iteration:
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.700153

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04814
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01061
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.978049
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.950894
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.946552
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.917281
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.897222
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.88402
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.865496
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.847333
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.831295
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.819717
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.804687
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.791028
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.780956
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.77655
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.766518
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.759789
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.753897
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.748292
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.739323
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.73534
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.724293
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.716656
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.706914
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.704502
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.696296
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.697435
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.691103
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.688105
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.683734
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.682251
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.67644
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.672224
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.66985
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.668523
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.666762
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.670938
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.675566
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.675524
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.674655
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.673526
Stopping. Best iteration:
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.666762

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0331
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.998156
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965342
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.93976
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.919113
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.900868
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883544
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.862576
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.851491
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.840822
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.830954
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.825231
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.814249
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.806979
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797059
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.797511
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.791564
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.786685
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.783591
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.778812
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.776352
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.772051
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.768402
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.77243
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.769988
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.769448
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.769517
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.772544
Stopping. Best iteration:
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.768402

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06056
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02475
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992311
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.975078
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.951413
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.937644
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.915001
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.905631
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.888091
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.871364
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.858953
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.849706
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.833796
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.822147
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.807856
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.801378
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.797423
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.791371
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.78261
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.775672
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.774853
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.770779
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.764486
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.757669
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.753243
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.751207
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.74451
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.742813
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737066
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.731726
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.730082
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.730022
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.726077
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.730722
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.729884
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.727777
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.726686
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.730249
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.726077

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05163
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01432
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.984662
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.960439
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.926806
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.900013
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.881448
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.870382
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.855608
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.842017
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.830508
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.813946
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.794214
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.778971
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.768374
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.760862
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.753073
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.746073
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.735683
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.727707
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.722142
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.717858
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.712264
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.708438
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.705232
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.699225
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.698713
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.696518
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.691916
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.688117
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.686594
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.6799
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.674225
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.6692
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.668574
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.668551
[36]	validation_0-merror:0.233333	validation_0-mlogloss:0.668748
[37]	validation_0-merror:0.233333	validation_0-mlogloss:0.667175
[38]	validation_0-merror:0.233333	validation_0-mlogloss:0.662473
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.662779
[40]	validation_0-merror:0.233333	validation_0-mlogloss:0.661265
[41]	validation_0-merror:0.233333	validation_0-mlogloss:0.660384
[42]	validation_0-merror:0.233333	validation_0-mlogloss:0.658845
[43]	validation_0-merror:0.233333	validation_0-mlogloss:0.657855
[44]	validation_0-merror:0.233333	validation_0-mlogloss:0.657011
[45]	validation_0-merror:0.216667	validation_0-mlogloss:0.657519
[46]	validation_0-merror:0.216667	validation_0-mlogloss:0.65749
[47]	validation_0-merror:0.216667	validation_0-mlogloss:0.657778
[48]	validation_0-merror:0.216667	validation_0-mlogloss:0.654742
[49]	validation_0-merror:0.216667	validation_0-mlogloss:0.650338
[50]	validation_0-merror:0.233333	validation_0-mlogloss:0.649366
[51]	validation_0-merror:0.233333	validation_0-mlogloss:0.647749
[52]	validation_0-merror:0.233333	validation_0-mlogloss:0.647931
[53]	validation_0-merror:0.233333	validation_0-mlogloss:0.648563
[54]	validation_0-merror:0.233333	validation_0-mlogloss:0.649949
[55]	validation_0-merror:0.233333	validation_0-mlogloss:0.653612
[56]	validation_0-merror:0.233333	validation_0-mlogloss:0.652713
Stopping. Best iteration:
[51]	validation_0-merror:0.233333	validation_0-mlogloss:0.647749

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05782
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03276
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.0046
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.984098
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.951283
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.926874
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.913177
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.903985
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.890581
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.876928
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.864444
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.849406
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.833465
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.821284
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.816137
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.808719
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.803229
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.798395
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.797739
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.789919
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.788513
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.788143
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.786258
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.784235
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.784486
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.784999
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.788183
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.789375
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.789949
Stopping. Best iteration:
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.784235

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06454
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03171
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.996379
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.97825
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.949682
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.927787
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.907368
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.894918
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.875885
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.857406
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.842478
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.828012
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.805344
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.788463
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.783794
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.770959
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.759614
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.751422
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.747145
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.738818
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.731008
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.72892
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.72506
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.716467
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.710852
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.704968
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.70718
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.699494
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.692434
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.69078
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.690134
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.695104
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.694956
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.693523
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.688581
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.686991
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.692112
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.700558
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.698167
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.698528
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.696273
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.686991

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.05525
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02167
[2]	validation_0-merror:0.45	validation_0-mlogloss:0.997608
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.968718
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.958981
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936964
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.918603
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.900297
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.883987
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.864932
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.855095
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.844772
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.834315
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.825761
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.817948
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.815616
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.804167
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.790072
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.784657
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.779359
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.769187
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.759341
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.752896
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.748099
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.738407
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.737073
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.72888
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.726533
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.720015
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.711676
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.703034
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.697894
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.694134
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.688693
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.687704
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.683654
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.681353
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.677689
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.678732
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.678572
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.681507
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.680309
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.673581
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.669314
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.668318
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.666508
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.664126
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.660501
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.661043
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.663291
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.661691
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.661184
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.662305
Stopping. Best iteration:
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.660501

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05955
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.03606
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.999395
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.972484
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.937022
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.915644
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.893936
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.877036
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.858174
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.840642
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826081
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.812944
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.806329
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.797467
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.789676
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.777325
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.774464
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.772427
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.770456
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.767188
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.768018
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.764452
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.761466
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.760072
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.762062
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.759803
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.757895
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.755836
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.758082
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.755851
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.756579
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.75553
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.755566
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.755835
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.756701
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.762469
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.760537
Stopping. Best iteration:
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.75553

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06041
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0329
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.993199
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.977954
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.947171
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.925857
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905847
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.891306
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.873631
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.863464
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.844152
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.836972
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823566
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.806557
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.789807
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.784443
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.776002
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.770889
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.760301
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.750965
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749624
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.746181
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.739967
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.732435
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.731988
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.727818
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.720741
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71649
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.710672
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707042
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.705045
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.701773
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700021
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.701191
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.701742
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.704446
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.698026
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.696319
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.693937
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.693642
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.689208
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.684443
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.68595
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.683041
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.683948
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.683758
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.684906
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.686255
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.687882
Stopping. Best iteration:
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.683041

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.04961
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.0107
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.978446
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.949207
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.944656
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.914158
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.89451
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.878286
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.859882
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.840889
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.824842
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.813145
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.800388
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.791268
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.783323
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.778307
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.767781
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.758755
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.754376
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.748663
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.739754
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.735114
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.725294
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.720241
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.712149
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.71045
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.702754
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.701969
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.696462
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.694716
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.692241
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.68792
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.681896
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.679031
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.676641
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.675144
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.67747
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.677823
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.682317
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.678813
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.675443
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.675144

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06373
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02944
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.998548
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.964142
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.937087
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918153
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.899622
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.884653
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.865549
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.851497
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.840524
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.832304
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.824335
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.812297
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.804871
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.796915
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.797407
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.792297
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.788016
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.788072
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.784294
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.783275
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.776944
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.770281
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.770268
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.767673
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.763187
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.760811
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.76178
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.757803
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.757789
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.759681
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.758371
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.757811
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.757379
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.760081
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.763939
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.766872
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.768517
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.768401
Stopping. Best iteration:
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.757379

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06114
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02984
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.996872
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.976271
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.943386
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.926043
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.905812
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.893512
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.873938
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.862173
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.851923
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.841062
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.824346
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.813477
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.798217
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.79254
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.786988
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.780419
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.773075
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.763521
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.763206
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.763396
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.758726
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.751248
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.745815
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.742372
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.737239
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.73425
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.728432
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.723358
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.726175
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.726009
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.720894
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.725329
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.72232
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.724768
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.724515
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.720497
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.717136
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.717712
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.715435
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.713515
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.712384
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.712331
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.718303
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.718028
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.716917
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.714334
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.716025
Stopping. Best iteration:
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.712331

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05492
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02181
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.988203
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962925
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.931035
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.903546
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.884967
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.872818
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.85921
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.846855
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.836058
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.821868
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.801764
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.786205
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.77536
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.768603
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.758148
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.748219
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.738895
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.729433
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.723246
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.718781
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.71343
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.710862
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.705994
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.699626
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.697679
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.693992
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.693051
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.688886
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.685207
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.68144
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.67769
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.67207
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.66952
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.669478
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.670965
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.670951
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.672092
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.67263
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.674866
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.669478

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05642
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02998
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.998679
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.976339
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.949458
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.925615
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.909807
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.899809
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.886009
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.875326
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.861459
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.841638
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.826877
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815813
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.808596
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.799075
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.789008
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.784646
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.781209
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.776013
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.774028
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.772386
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.770365
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.768714
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.767491
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.763155
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.765831
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.762642
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.765202
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.765901
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.769301
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.770759
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.770112
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.762642

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06206
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03243
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00017
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982732
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.958022
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.930934
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.912244
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.895892
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.875689
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.858016
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.841057
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.824566
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.804052
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.791816
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.786342
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.77611
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.764137
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.754545
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.749565
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.741736
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.73525
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.731592
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.72571
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.717627
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.710368
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.705949
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70395
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.698275
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.69263
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.689263
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.691505
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.691341
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.686927
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.685914
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.681941
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.679034
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.681543
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.6848
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.682751
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.681326
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.676735
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.67544
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.672773
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.671773
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.670687
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.672565
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.676768
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.675167
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.676893
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.67858
Stopping. Best iteration:
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.670687

[0]	validation_0-merror:0.533333	validation_0-mlogloss:1.05967
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0295
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00252
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.974605
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.964439
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.940136
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.922982
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.906156
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.890991
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.871894
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.86111
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.849452
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.836399
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.826509
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.819682
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.816674
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.803515
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.790377
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.786161
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.781616
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.76996
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.761358
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.755646
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.747103
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.738844
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.737022
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.72851
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.721506
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.715802
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.711325
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.706001
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.70155
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.699827
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.696659
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.695493
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.69122
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.693231
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.690574
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.690891
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.686817
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.687262
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.687523
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.685604
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.681545
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.681148
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.681515
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.679662
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.677785
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.674196
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.677346
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.6734
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.676294
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.677536
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.680257
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.678668
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.67797
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.6734

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05987
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03362
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996821
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.972866
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939923
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918852
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.898797
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.881809
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.861089
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.843308
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.82685
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.811853
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.804745
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.794655
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.786633
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.77641
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.770166
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.767008
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.765034
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.761878
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.757411
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.753044
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.75082
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.748968
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.75063
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.750374
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.748001
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.744274
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.744103
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.742834
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.74301
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.741063
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.738072
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.736452
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.740906
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.746239
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.739995
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.743614
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.744147
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.736452

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06833
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.04044
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00208
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.979871
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.951694
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.928133
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.910412
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.896527
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.878679
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.863946
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.845063
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.836408
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823951
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.808926
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.796301
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.792413
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.786355
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.781477
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.774421
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.765203
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760152
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.75392
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.749579
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.741965
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.738308
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.7344
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.728554
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.720648
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.717591
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.713883
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.710155
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706465
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.703603
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70396
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.704069
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.706616
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.702115
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.701414
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.699174
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.699265
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.694027
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.691271
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.693009
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.688756
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.688196
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.68807
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.68658
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.68714
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.689889
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.69005
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.690144
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.690772
Stopping. Best iteration:
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.68658

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05263
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01377
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985289
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.95639
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.948466
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917378
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.896635
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.880066
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.861117
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.843731
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830821
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818237
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80319
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.791147
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.781764
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.777257
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.765186
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.754058
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.748078
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.743994
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.733202
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.72801
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.719556
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.713007
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.703086
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.700704
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.694324
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.694256
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.688541
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.68768
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.684585
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.676811
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.671988
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.670793
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.667246
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.66343
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.66234
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.663191
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.665512
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.661883
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.659631
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.65253
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.649346
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.646742
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.644374
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.642172
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.641997
[47]	validation_0-merror:0.25	validation_0-mlogloss:0.640403
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.638315
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.641166
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.642689
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.643987
[52]	validation_0-merror:0.25	validation_0-mlogloss:0.643646
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.648141
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.638315

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0642
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03367
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00103
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.971131
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.942091
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.921086
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.904817
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.889239
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.86601
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.852375
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.842226
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.8319
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.821585
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813318
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.809854
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.800974
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.798211
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.794025
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.791176
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.790517
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.786677
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.783446
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.777809
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.772812
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.774089
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.772188
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.76954
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.768797
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.772699
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.768911
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.769962
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.772864
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.772541
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.768797

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.06234
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03504
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00358
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.975361
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.943251
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.922019
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.90334
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.888066
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.869399
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.856184
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.843973
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.83138
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.816708
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.803885
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.790354
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.783952
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.781005
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.776336
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.769127
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.761621
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.76025
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.759039
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.754902
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.747365
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.739496
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.735415
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.733421
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.728757
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.724711
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.71837
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.719273
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.718442
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.713635
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.71758
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.714836
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.715297
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.715085
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.71524
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.713635

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05466
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02068
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990316
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962893
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934558
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908083
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.889604
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.87822
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.862808
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.849327
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.83825
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.81905
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.801598
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.78818
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.777528
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.768848
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.762167
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.752178
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.744256
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.736569
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.731168
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.727341
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.720699
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.718988
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.715686
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.708347
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.699667
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.696321
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.694446
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.688662
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.686015
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.682231
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.678012
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.674814
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.672282
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.674691
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.673838
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.674503
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.674436
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.673353
Stopping. Best iteration:
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.672282

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05515
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02647
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.994623
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.972738
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.941632
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918585
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.901424
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.890574
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87883
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.867955
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.85722
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.845221
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.831674
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.819409
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.813009
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.809143
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.801777
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.797059
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.791274
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.786597
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.782856
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.780493
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.777016
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.77426
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.77317
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.771644
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.77213
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.772307
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.772094
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.773254
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.775066
Stopping. Best iteration:
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.771644

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06738
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03806
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00414
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.986314
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.964833
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.942975
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.923438
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.90778
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.889108
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.873773
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.855704
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.840137
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.819892
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.808619
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800883
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.788833
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.774891
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.764516
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.758261
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.74834
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.742871
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.740266
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.734809
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.728302
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.719981
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.716946
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.713752
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.709747
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.704272
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.70241
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.702044
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.702084
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.697996
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.695772
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.691383
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.688668
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.69157
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.695243
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.69225
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.693304
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.691165
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.688668

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06128
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02989
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998893
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.972205
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.963254
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.936243
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.917789
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.898758
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.882925
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.866285
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.853653
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.837636
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.825462
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.814062
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.80789
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.806599
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.795855
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.784481
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.779888
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.773889
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.763145
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.756028
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.748967
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.744974
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.734402
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.734077
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.728221
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.725281
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.719295
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.715307
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.709686
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.707078
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.707313
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.7064
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.706943
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.703713
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.703214
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.699142
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.697564
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.695756
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.69814
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.69897
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.697109
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.694922
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.692254
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.689807
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.691252
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.689075
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.688533
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.691526
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.689665
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.692274
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.69338
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.695539
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.688533

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.04322
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00721
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.980692
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.94657
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.926128
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.906376
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.887877
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.868857
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.852363
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.836625
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.827041
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.820206
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.811547
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.805097
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.796855
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.790844
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.783227
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.779779
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77364
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767041
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.760249
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.758793
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.755765
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.755266
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.752319
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.751309
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.747703
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.744863
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.742575
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.745138
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.74253
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.74025
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.739725
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.743227
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.743737
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.739072
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.744151
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.744531
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.741784
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.738011
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.735232
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.734903
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.735568
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.73762
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.736791
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.737619
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.737355
Stopping. Best iteration:
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.734903

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.07022
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04127
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00259
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981399
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.95595
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.934292
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.912267
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.898051
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.88187
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.868436
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.84722
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.835843
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823276
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809231
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.797412
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.796145
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.790603
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.784098
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.77154
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.767021
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759417
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750617
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.7476
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.737246
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.735902
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.732245
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.726437
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.719498
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.718353
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.714304
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.709671
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.704122
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.703241
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.703566
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.700753
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.702191
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.697035
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.697209
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.694975
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.691144
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.685215
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.682795
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.683913
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.679509
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.678234
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.674928
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.675986
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.676579
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.680698
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.681942
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.679092
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.674928

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05034
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01092
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.987883
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.959997
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.9531
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.922208
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.900456
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.882093
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.866409
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.848507
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834125
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820033
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.807069
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.797561
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788972
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.785667
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.776366
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765723
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759499
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754212
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743266
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.737875
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.726416
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.721457
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.713103
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.711892
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.706396
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.704798
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699777
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.696694
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.694118
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.687182
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.683064
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.680427
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.678764
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.672411
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.670761
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.669217
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.672356
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.66799
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.669098
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.663644
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.664965
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.662437
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.660808
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.659
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.657415
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.654998
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.651782
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.653068
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.653711
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.65437
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.652562
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.656165
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.651782

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06326
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03148
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00087
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.969562
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.93964
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.921067
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.905824
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.887544
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.865033
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.850839
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.840766
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.831961
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.823357
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.815654
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.812842
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.805177
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.803171
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.797712
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.791604
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.791438
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.784462
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.780914
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.774083
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.770216
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.772061
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.76939
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.765393
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.762796
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.765045
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.76237
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.762071
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.767279
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.767133
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.766673
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.766034
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.766895
Stopping. Best iteration:
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.762071

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06716
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03727
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00369
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.975497
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.946432
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.924618
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.906499
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.891636
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.87184
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.857739
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.844649
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.834378
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.820322
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.80768
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.798401
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.792578
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.788446
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.781811
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.774099
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.76543
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.763413
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.761938
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.755548
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.746706
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.743229
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.737684
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.737911
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.733891
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.732303
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.726918
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.72659
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.724437
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.716922
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.719698
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.715512
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.717762
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.717054
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.714857
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.712992
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.713141
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.712086
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.712248
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.712957
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.715214
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.718214
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.715522
Stopping. Best iteration:
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.712086

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05811
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0237
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992481
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.966207
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938492
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.913205
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.895522
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.885175
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.869746
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855797
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.841901
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.827422
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.806649
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.792638
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.784037
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.776456
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.769396
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.763426
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.752911
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.743361
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.735439
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.731491
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.726233
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.721539
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.715899
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.711218
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.710528
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.706268
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.705578
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.700078
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.698376
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.694214
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.688592
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.686698
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.684535
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.686109
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.685276
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.68571
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.686611
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.682665
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.685175
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.68403
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.683938
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.684277
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.684376
Stopping. Best iteration:
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.682665

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0566
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0272
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.999251
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.978443
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.947306
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.925344
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.911072
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901662
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.894187
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.883289
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.870527
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.860667
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.846179
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.835019
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.828005
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.821948
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.81292
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.807432
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.803931
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.800964
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.799685
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.797368
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.79313
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.787838
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.786059
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.782674
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.78301
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.782644
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.782534
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.781706
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.782753
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.784468
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.784275
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.786942
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.786798
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.781706

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06369
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03205
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00043
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.981008
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957287
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.930886
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.914927
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.902812
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.884739
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.871163
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.852796
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.835901
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.818552
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.807249
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799322
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789028
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.775768
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.764841
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.759311
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.749399
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.745764
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.742958
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.734947
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.725535
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.716337
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.709039
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.706163
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.703958
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.695973
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.695635
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.697093
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.700335
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.697951
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.696312
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.690943
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.688769
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.68987
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.692421
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.689664
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.688634
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.68698
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.686214
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.686086
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.687605
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.690148
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.686947
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.68881
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.689632
Stopping. Best iteration:
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.686086

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02768
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.998338
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.971385
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.96248
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.938662
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.91934
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.901949
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.884681
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.863714
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.849352
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.833769
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.820668
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.80755
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.797713
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.795514
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.782982
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771612
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.768504
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.763721
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.753045
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745823
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.742335
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.73751
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.726592
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.726742
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.719852
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.7174
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.711217
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.709538
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.706674
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.702317
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.700886
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.698686
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.698161
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.693917
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.694171
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.692936
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.695082
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.69433
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.696863
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.697474
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.697363
Stopping. Best iteration:
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.692936

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06457
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04173
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00733
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.98166
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.947489
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.929201
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.911095
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.894554
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.877953
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.862431
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.845043
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.833365
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.826923
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.817986
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.811658
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.80397
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.798754
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.788959
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.783437
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.775331
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772498
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.767896
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.766339
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.764006
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.762623
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.760678
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.759464
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.757083
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.753841
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.752895
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.752866
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.74976
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.74878
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.749212
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.751475
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.748841
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.746407
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.745701
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.74605
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.745976
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.743813
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.740602
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.740706
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.740636
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.73936
[45]	validation_0-merror:0.383333	validation_0-mlogloss:0.736908
[46]	validation_0-merror:0.383333	validation_0-mlogloss:0.737745
[47]	validation_0-merror:0.383333	validation_0-mlogloss:0.73402
[48]	validation_0-merror:0.383333	validation_0-mlogloss:0.734953
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.734937
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.730774
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.732167
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.730311
[53]	validation_0-merror:0.383333	validation_0-mlogloss:0.731145
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.737984
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.736927
[56]	validation_0-merror:0.383333	validation_0-mlogloss:0.73625
[57]	validation_0-merror:0.383333	validation_0-mlogloss:0.734949
Stopping. Best iteration:
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.730311

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0657
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03649
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.997903
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976761
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954021
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.928689
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.912406
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.898859
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.880971
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.868459
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849276
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.836091
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.824579
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.8104
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799276
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797463
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.792392
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.787166
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.779901
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.775901
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.769736
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.764621
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.764083
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.757556
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.756927
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.754749
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.750111
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.742197
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.740711
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.736144
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.73252
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.729124
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.72818
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.727565
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.72556
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.723896
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.718151
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.718954
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.715486
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.713489
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.707091
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.705091
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.706194
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.702077
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.698018
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.693377
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.693885
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.694639
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.692909
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.694311
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.690506
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.688811
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.684899
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.686236
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.690761
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.689355
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.689763
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.687914
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.684899

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05087
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01294
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.9861
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957684
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.951177
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.924554
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.906688
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887225
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.869968
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.849382
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.835382
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822132
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808042
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.797465
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.789159
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784503
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77453
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.763234
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.758702
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.753415
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.744775
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740881
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.729606
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.721789
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.712731
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.710168
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.704337
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.704907
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.70229
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.700486
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.696824
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.691653
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.688386
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.686438
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.684222
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.67785
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.676672
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.672436
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.674473
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.672415
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.674432
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.67034
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.670262
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.669409
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.667518
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.664751
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.664377
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.663816
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.662062
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.659084
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.659733
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.661655
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.660974
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.662287
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.664138
Stopping. Best iteration:
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.659084

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06353
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02989
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.998805
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.96932
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.941237
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923203
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.907653
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.891517
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.870373
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.854097
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.841414
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.830489
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.824906
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.815244
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810019
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799568
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.79647
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.790819
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785537
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.781604
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.777249
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.771176
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.766319
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.764586
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.76612
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.763898
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.759469
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.755066
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.75332
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.749161
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.750849
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.751552
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.751457
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.752548
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.752283
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.749161

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06659
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03873
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00892
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.981404
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.960432
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.937604
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.91775
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.904703
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.887132
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.869258
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.856381
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.84438
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831714
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.820275
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.810733
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.804576
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.799516
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.792133
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.786111
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.776494
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.773951
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.771073
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765285
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.758916
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.759159
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.752324
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.750225
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.744008
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.741241
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.737714
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.739674
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.733177
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.728269
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.730015
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.725984
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.726855
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.726047
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.725507
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.723938
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.725382
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.719969
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.718334
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.718605
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.718168
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.719615
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.716693
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.711875
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.711324
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.71098
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.714851
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.709647
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.711173
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.709291
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.708602
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.712462
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.711687
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.709523
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.707712
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.707865
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.708799
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.712394
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.716426
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.720349
Stopping. Best iteration:
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.707712

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05698
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02313
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.991636
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965611
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.937777
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.912257
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.893884
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.882253
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.867035
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.853554
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.840542
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.822082
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.800774
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.786515
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.778145
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.769028
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.760825
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.751812
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.742446
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.732482
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.728316
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.724983
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.716649
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.712602
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.706151
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.698254
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.697542
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.690624
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.688727
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.683711
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.680732
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.677337
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.674962
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.67332
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.671223
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.671847
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.669623
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.668249
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.668384
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.668699
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.671942
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.671401
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.670955
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.668249

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06024
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03112
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.999648
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.982443
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.952492
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.930556
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.916327
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.907143
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.89808
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.885763
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.873284
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.862668
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.84897
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.837893
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.829819
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.82214
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.813895
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.809431
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.80304
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.799077
[20]	validation_0-merror:0.416667	validation_0-mlogloss:0.795296
[21]	validation_0-merror:0.416667	validation_0-mlogloss:0.792948
[22]	validation_0-merror:0.416667	validation_0-mlogloss:0.789082
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.785787
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.78418
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.781435
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.7825
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.781726
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.780151
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.778996
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.782332
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.780912
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.780872
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.780283
[34]	validation_0-merror:0.416667	validation_0-mlogloss:0.780225
Stopping. Best iteration:
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.778996

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06524
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03249
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00174
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.982423
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.957691
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.928304
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.912058
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.901017
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.879379
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.864087
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.845715
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.828582
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80847
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.796463
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788571
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.780882
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.767826
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.758422
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.752223
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.743495
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.736142
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.730883
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.723689
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.715896
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.71186
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.70671
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.704139
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.699624
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.695619
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.694718
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.695336
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.697749
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.695738
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.694437
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.693188
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.691495
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.688824
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.689856
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.688605
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.684288
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.68479
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.682364
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.680684
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.680413
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.679964
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.679715
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.679426
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.678538
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.678145
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.677969
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.678489
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.679573
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.677828
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.679147
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.679869
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.677863
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.67703
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.678641
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.679437
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.678457
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.679124
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.680645
Stopping. Best iteration:
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.67703

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05704
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02052
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.99219
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.95779
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.951405
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.925928
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.907265
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.893701
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.877605
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.855343
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.844329
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.830033
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.819245
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.808959
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.804073
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.804933
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.789548
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.780333
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.773587
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.766642
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.757466
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.747791
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.739424
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.731754
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.728275
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.727022
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.716697
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.713689
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.708466
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.701983
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.695226
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.691042
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.68866
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.687455
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.686593
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.683125
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.679494
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.671863
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.672381
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.668274
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.673748
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.676093
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.672541
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.673532
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.672214
Stopping. Best iteration:
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.668274

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06024
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03479
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.998026
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.971575
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.935587
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.912697
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.891115
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.876024
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857338
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.840527
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.8279
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.819219
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.816658
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.806876
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.801319
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.787749
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.78369
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.779134
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.777411
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.773046
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.772637
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.767177
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.766875
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.763109
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.76143
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.762017
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.759609
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.757093
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.75169
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751114
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751006
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.750608
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.748105
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.751537
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.757097
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.756003
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.755221
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.758657
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.748105

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06376
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03642
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994184
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.971208
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938499
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916134
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.903411
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.891693
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.876567
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.862865
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.847749
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.838205
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.825999
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.814716
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797553
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.789294
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780168
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772624
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.76385
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.761705
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.763602
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.763472
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.760411
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.751649
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.751948
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.749732
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741103
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.739176
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.735158
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.732655
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.732411
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.734298
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.736305
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.73932
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.744143
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.749819
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.732411

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00903
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.97645
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.948997
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.945651
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.916388
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.895503
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883648
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.865941
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.849742
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.83316
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823914
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.809947
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.799567
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.789495
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78499
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.776409
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.768852
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.764289
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.758961
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749688
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.743481
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.73162
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.721948
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.71524
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.716597
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.710642
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.711237
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.704256
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.703504
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.696849
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.693391
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.689273
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.687187
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.685902
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.683678
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.683743
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.686391
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.688086
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.690706
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.689461
Stopping. Best iteration:
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.683678

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06305
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03347
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00079
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.972097
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.944186
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.924959
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.904774
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.887732
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.862235
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.851099
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.838199
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.832161
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.82352
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.814637
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.809216
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.800107
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.79958
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.796774
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.792502
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.790699
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.787153
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.785105
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.779446
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.776103
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.780698
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.77987
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.777198
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.777623
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.781239
Stopping. Best iteration:
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.776103

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06288
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0298
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00022
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.98008
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.954497
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.93991
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.929236
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.919449
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.897711
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.885645
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.870794
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.857611
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.844366
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.835975
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.819193
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.8158
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.814244
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.809344
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.800271
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.7956
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.796868
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.792441
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.792562
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.785547
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.781955
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.783523
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.780308
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.778583
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.774618
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.770289
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.76932
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.770539
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.768705
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.767618
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.767211
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.769798
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.774737
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.772761
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.775913
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.776097
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.767211

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05236
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01856
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.988821
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.963571
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.927903
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.902866
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.886872
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.874359
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.85832
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.843942
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.833492
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.819133
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.798625
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.778452
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.769669
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.759109
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.750484
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.747359
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.737905
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.727582
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.722659
[21]	validation_0-merror:0.233333	validation_0-mlogloss:0.717883
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.715234
[23]	validation_0-merror:0.233333	validation_0-mlogloss:0.708988
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.70493
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.697823
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.694923
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.690113
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.69164
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.685887
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.683079
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.680846
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.676868
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.678078
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.677089
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.678106
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.67884
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.678425
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.676868

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05717
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03168
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00452
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.986111
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.956849
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.932533
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.918373
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.91175
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.897243
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.885747
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.871235
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.856848
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.841317
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.82831
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.820942
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.816597
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.807438
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.801755
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.801123
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.792754
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.79345
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.791463
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.792243
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.79104
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.789386
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.788319
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.787988
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.790752
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.791602
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.794652
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.800118
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.803085
Stopping. Best iteration:
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.787988

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05778
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02881
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.995282
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.973626
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.955887
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.936246
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.914609
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.903115
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.882201
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.865445
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.852589
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.835639
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.817147
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.803944
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.799365
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.794688
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.784727
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.778498
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.775763
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.769851
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.765824
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.768501
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.763358
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.75958
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.754954
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.75314
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.752051
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.748638
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.742822
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.744489
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.745412
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.75026
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.75087
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.750033
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.742822

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.05676
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02168
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.995588
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.967958
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.960621
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.938368
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.920464
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.902405
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.884463
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.867431
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.856816
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.8458
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.835562
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.82619
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.817737
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.817261
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.806159
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.79307
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.787732
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.780684
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.772725
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.763057
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754243
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.75076
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.742956
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.741184
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.731839
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.730201
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.722161
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.71735
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.710192
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703746
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.7033
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.704829
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.704474
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.700692
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.696923
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.69398
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.694361
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.694969
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.697198
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.695574
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.689472
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.686224
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.685677
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.684243
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.686043
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.683557
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.682322
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.685161
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.682869
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.683471
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.684498
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.686902
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.682322

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05955
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03878
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00446
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.98116
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.945091
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.924045
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.903101
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.888231
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.869761
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.853789
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.838274
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.826479
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.821561
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.815242
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.805893
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.791789
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.784928
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.781941
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.782057
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.780406
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.777711
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.774839
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.772957
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.772215
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.770169
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.767745
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.765268
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.763799
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.765386
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.761533
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.764722
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.762451
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.76296
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.762626
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.765406
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.761533

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06115
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03449
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.995766
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.98045
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.948925
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.927909
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.909542
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.896387
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.883282
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.869542
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.853318
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.843426
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.830205
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.813776
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.798054
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.796448
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.787149
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.783148
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.773089
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.763035
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.760547
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.757058
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.755086
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.745684
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.743093
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.739335
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.734107
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.725181
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.720452
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.716612
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.715838
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.718556
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.719818
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.72036
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.723447
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.729253
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.715838

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05104
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00937
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.975267
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.945698
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.943065
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.913214
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.891625
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.874831
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.854935
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.837895
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.821383
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.808612
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.796367
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.782363
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.775382
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.770719
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.761136
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.749401
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.743649
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.738336
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.730892
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.728032
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.719893
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.71567
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.709702
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.709541
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.702768
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.701903
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.696184
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.694638
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.692574
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.689014
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.684992
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.680277
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.677844
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.6752
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.677858
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.67938
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.681931
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.682723
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.682253
Stopping. Best iteration:
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.6752

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06282
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0308
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00043
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.969076
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.937926
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.917875
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.897964
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.884719
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.862177
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.84942
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.837472
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.8292
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.821018
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.810533
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.804631
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.794558
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.794252
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.79104
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.791432
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.791768
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.789181
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.787327
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.781987
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.776602
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.776036
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.772662
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.768446
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.765695
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.768663
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.767678
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.770003
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.772959
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.77481
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.765695

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06126
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0322
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00087
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.978554
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.948441
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932338
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.922351
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.909498
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.890885
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.880652
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.866762
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.852747
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.837193
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.828435
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.811914
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.807683
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.803353
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.796609
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.788779
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.780308
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.782584
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.780935
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.776388
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.768535
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.76471
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.761481
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.756371
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.754407
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.752242
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.748751
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.750164
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.752472
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.749576
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.752053
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.752266
Stopping. Best iteration:
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.748751

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0558
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02332
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.988949
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.964522
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.932983
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908385
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.893136
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.881469
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.866719
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.85562
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.846819
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.830141
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.810524
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.794575
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.785741
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.779538
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.769274
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.75954
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.751126
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.743893
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.737551
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.731752
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.72659
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.721328
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.717282
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.711422
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.709229
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.704737
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.703352
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.699617
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.693443
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.695753
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.693341
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.690575
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.690222
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.692587
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.69352
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.692666
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.691531
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.691056
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.690222

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05828
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03257
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00074
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.982116
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.958709
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.935525
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.921444
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.91232
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.901894
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.891653
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.87822
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.859419
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.843817
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.831028
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.82355
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.815534
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.808546
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.803263
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.795508
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.789103
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.782718
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.780559
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.778099
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.777751
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.776004
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.773338
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.773122
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.770642
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.76751
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.768802
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.771383
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.772286
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.76999
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.772058
Stopping. Best iteration:
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.76751

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05784
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03064
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999757
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.979408
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.956239
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.933235
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.918558
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.905452
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.886247
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.869621
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.857202
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.84016
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.820068
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.807186
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.803031
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.792549
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.784758
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.77748
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.770072
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.763465
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.755175
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.756111
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.751478
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.749663
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.743817
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738783
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.739462
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.73409
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.729038
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.727013
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.728279
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.731362
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.727981
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.725825
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.719886
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.71892
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.720999
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.722915
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.722898
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.722822
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.7214
Stopping. Best iteration:
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.71892

[0]	validation_0-merror:0.533333	validation_0-mlogloss:1.05967
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0275
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998181
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.972454
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.962578
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.93908
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.922157
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.905503
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.890273
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.87305
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.862501
[11]	validation_0-merror:0.433333	validation_0-mlogloss:0.851015
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.838139
[13]	validation_0-merror:0.416667	validation_0-mlogloss:0.830188
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.822483
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.819702
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.807298
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.794262
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789695
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.784926
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.7759
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.768693
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.760091
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.752964
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.745108
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.743771
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.735303
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.727589
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.721219
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.716475
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.712254
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.705837
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.70687
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70175
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.701189
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.698671
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.699131
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.69685
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.698198
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.694903
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.693603
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.694605
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.69258
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.688964
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.688656
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.688904
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.688062
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.686486
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.683651
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.685544
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.681324
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.685059
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.686591
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.687693
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.684685
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.684249
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.681324

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05987
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03326
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.997506
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.976679
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.942678
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.922213
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.901561
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.887037
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.86765
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.850539
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.832458
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.823108
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.818954
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.809105
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.804071
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.793661
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.787069
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.782748
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.778666
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77384
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767882
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.762264
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.760581
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.760655
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.763058
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.763028
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.760371
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.755897
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.755527
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.754186
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.755312
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.754358
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747646
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.744495
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.749849
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.752896
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.748106
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.746545
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.74689
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.744495

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06779
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03862
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00138
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.97908
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.9508
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.925459
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.908217
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.894901
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.880618
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.86794
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.849745
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.841392
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.828883
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813833
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.801564
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.799806
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.792548
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.788325
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.780879
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.7792
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.774596
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.769731
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.765729
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.75717
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.754884
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.750174
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.744942
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.736828
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.736584
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.732876
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.728342
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.726369
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.722359
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.722948
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.718987
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.722215
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.719168
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.717989
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.715678
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.715222
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.710403
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.707797
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.710204
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.706551
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.70743
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.707094
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.70499
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.705825
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.709125
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.708998
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.70905
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.708118
Stopping. Best iteration:
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.70499

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05209
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01365
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.983341
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.956589
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.949496
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.917357
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.895497
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.877849
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.858299
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.840826
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.826229
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.812336
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.798669
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.784273
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.776073
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.771692
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.760083
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.749727
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.74449
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.74017
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.73085
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.726038
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.717823
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.711653
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.704506
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.703076
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.697074
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.697118
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.690883
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.689012
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.68699
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.681634
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.677548
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.677091
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.674983
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.671357
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.669987
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.667476
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.669358
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.666646
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.665476
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.662905
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.659858
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.656923
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.65574
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.653962
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.654284
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.653283
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.65058
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.652373
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.653006
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.655489
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.65351
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.657663
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.65058

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.06235
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03385
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00212
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.972152
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939057
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917012
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.90017
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885472
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.861742
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.849035
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.836784
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.826133
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.82085
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809237
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.80698
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.799064
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.796954
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.791985
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.788507
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.78755
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.783091
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.781196
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.774278
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.768371
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.768213
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.767713
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.765199
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.767363
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.767903
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.766519
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.763942
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.765324
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.765129
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.763376
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.766793
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.768741
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.768995
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.77217
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.770102
Stopping. Best iteration:
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.763376

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06315
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03597
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00578
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.9775
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.944935
[5]	validation_0-merror:0.25	validation_0-mlogloss:0.922643
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.902315
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.887672
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.872164
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.858334
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.842402
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.830911
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.816733
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.805233
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.790992
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.787921
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.783499
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.777122
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.768502
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.762771
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.762854
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.760661
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.755198
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.749688
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.746331
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.743507
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741792
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.737733
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.734029
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.728783
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.733451
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.732008
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.727589
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.730898
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.728581
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.727678
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.725723
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.725887
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.725159
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.725239
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.719967
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.719315
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.720474
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.72334
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.724228
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.723214
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.71856
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.718301
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.719318
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.71802
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.717043
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.719243
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.719613
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.719607
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.719593
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.71768
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.717043

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.0558
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02335
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.992696
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.965005
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.936189
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.911886
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.893665
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885372
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.866446
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854651
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.844913
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.827426
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.809729
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798944
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790089
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.77822
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.766254
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.757958
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.748723
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.742013
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.736771
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.73252
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.727141
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.722275
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.718678
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.712658
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.70668
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.703709
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.701787
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.697498
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.695419
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.693903
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.693514
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.691164
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.689935
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.689098
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.689012
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.68888
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.688089
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.686649
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.68719
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.686575
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.688382
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.686704
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.689083
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.690846
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.693992
Stopping. Best iteration:
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.686575

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05888
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03126
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.998482
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.981036
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.956523
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.934607
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.919064
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.90992
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.898743
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.887622
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.878775
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.863962
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.848936
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.839594
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.833496
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.825723
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.818136
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.815567
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.81024
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.805693
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.800468
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.796028
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.791533
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.789083
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.786991
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.786205
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.789069
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.789504
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.786999
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.786163
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.788741
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.790698
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.791841
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.792486
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.792699
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.786163

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06341
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03373
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.999066
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.980056
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.957501
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.934093
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.917468
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.90284
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.884807
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.868239
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.850903
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.835905
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.815337
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.805174
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797729
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788754
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.775611
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.768925
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.762996
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753637
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.749803
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.747621
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.741636
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.734906
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.730217
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.726613
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.725622
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.720896
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.715631
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712878
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.712055
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.712301
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.7057
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70435
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.69975
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.698584
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.701002
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.70442
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.703043
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.702775
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.702451
Stopping. Best iteration:
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.698584

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06128
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02989
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.996512
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.970771
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.962002
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.935071
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.91673
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901679
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.886518
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.869788
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.857255
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.841722
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.828251
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813702
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.807835
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.805849
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.795073
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.78344
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.779197
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.772365
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.763002
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.755337
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.748271
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.744767
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.733861
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.733459
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.726913
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.723492
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.7184
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.714304
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.708335
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.705558
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.705643
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.703555
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.704841
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.701933
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.703681
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.699652
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.700098
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.697962
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.700821
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.70176
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.69957
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.696503
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.695689
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.69355
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.694377
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.690845
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.688188
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.69032
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.688655
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.691058
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.690611
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.692416
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.688188

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.04322
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00721
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.981928
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.949778
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.929684
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.910077
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.890945
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.873556
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.857637
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.841701
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.832605
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.827846
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.818629
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.812869
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.805832
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800271
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.793704
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.786683
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.781118
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.774917
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.768409
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767157
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.76516
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.765864
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.762866
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.76158
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.758369
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.755087
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.752687
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.753803
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.75026
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.748609
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.74813
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.75048
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.752014
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.74771
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.752803
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.752333
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.751361
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.748493
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.745274
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.745961
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.743909
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.74183
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.744234
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.744934
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.744636
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.748779
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.747903
Stopping. Best iteration:
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.74183

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.07022
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04127
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00255
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981355
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.955909
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.933095
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.911104
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.897767
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.88299
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.870768
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.849556
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.838512
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.825599
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.809507
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797624
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797877
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.792332
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.785853
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.77249
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.768596
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.762588
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.753662
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.750758
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.740856
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.739653
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.735024
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.72985
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.724693
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.721442
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.717288
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.711734
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706588
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.705771
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.7062
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.703672
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.702689
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.697727
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.69707
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.694381
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.690743
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.684889
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.682723
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.683972
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.680555
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.679471
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676632
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.677566
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.678222
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.682987
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.682726
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.680128
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676632

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01287
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.987917
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.957243
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.949666
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918312
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.89707
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.879995
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.864528
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.845102
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.832005
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.817878
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.805932
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.796793
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788227
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.785786
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.772313
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.760831
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.754252
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.749128
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.738523
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.735546
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.72557
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.720772
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.712879
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.710859
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.704571
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.702698
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.69906
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69572
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.693636
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.68844
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.683651
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.680789
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.678191
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.673435
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.673079
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.672984
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.674235
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.670223
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.672178
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.66941
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.670072
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.667787
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.666334
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.664195
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.662451
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.660365
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.658091
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.657833
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.658322
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.659883
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.657477
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.660592
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.661833
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.662968
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.663327
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.663772
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.657477

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06326
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02986
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.999488
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.968913
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.936425
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.917478
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.902618
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885415
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.86144
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.847016
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.837277
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.828566
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.822559
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.814839
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.813757
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.805169
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.802656
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.795574
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.794487
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.794715
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.787356
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.783762
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.778065
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.776693
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.778171
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.776496
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.772013
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.771334
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.770181
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.769051
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.769365
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.769892
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.769348
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.769812
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.771181
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.769051

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06716
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03729
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.0047
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976484
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.947373
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.924426
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.906312
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.892219
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.873704
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.859853
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.846563
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.834245
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.820875
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.809035
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.800203
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.796618
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.791951
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.784028
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.777104
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.768301
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.76578
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.762933
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.75539
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.746643
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.747783
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.743155
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.740997
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.736104
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.734387
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.728858
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.731814
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.726587
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.719878
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.724082
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.720795
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.724308
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.721122
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.720548
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.719878

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05774
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02465
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.993329
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969072
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.939685
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.914393
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.89526
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.884655
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.863762
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852156
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.838526
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.821069
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.798426
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.784832
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.775916
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.767273
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.760989
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.752738
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.742766
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.736437
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.731005
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.724894
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.719288
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.716056
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.713951
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.709473
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.70708
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.703892
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.703596
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.699733
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.697704
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.694159
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.692367
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.691227
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.688408
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.688123
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.688148
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.686368
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.687526
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.687643
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.689536
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.689375
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.688751
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.686368

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05907
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03092
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00189
[3]	validation_0-merror:0.45	validation_0-mlogloss:0.982286
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.95243
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.932348
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.917175
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.911919
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.902029
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.891181
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.879434
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.869275
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.855165
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.844084
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.837008
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.826559
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.818384
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.814758
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.812014
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.809634
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.809596
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.807958
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.80409
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.800226
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.797272
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.794512
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.795253
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.797472
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.79588
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.795422
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.796295
Stopping. Best iteration:
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.794512

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06369
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03079
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998837
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.97842
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.955764
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.929174
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.913601
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.900637
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.88379
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.870115
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.851773
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.834577
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.821129
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.810006
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.804664
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.795689
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.780467
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.770084
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.766415
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.757281
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.753531
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.752599
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.745182
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.73564
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.728006
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.725858
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.72482
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.716643
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.70906
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.708705
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.708994
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.707721
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.705744
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.704339
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.703108
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.702499
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.705651
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.709084
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.707125
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.706203
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.703344
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.702499

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02768
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.998338
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.971385
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.96248
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.940185
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.920968
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.903699
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.886441
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.870131
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.856125
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.840842
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.827807
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.814519
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.804707
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.802591
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.790148
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.778858
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.776184
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.771543
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.760886
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.753534
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.75003
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.745089
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.734195
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.734288
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.727397
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.725249
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.718148
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.715076
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.711742
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.707711
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.706637
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.70388
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.703303
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.699424
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.699662
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.70152
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.703798
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.702162
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.705144
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.699424

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06457
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04173
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00733
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982999
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.949739
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.931661
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.913235
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.897014
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.880495
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.865393
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.847954
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.837511
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.831124
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.820128
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.813476
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.805764
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.800575
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.790905
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785512
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.779269
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.777311
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.772695
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.771231
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.768986
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.767655
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765964
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.764675
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.762243
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.759902
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.759667
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.759299
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.757152
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.756288
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.756614
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.758967
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.756362
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.754023
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.753352
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.75361
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.754203
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.751935
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.748189
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.748384
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.747267
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.746018
[45]	validation_0-merror:0.383333	validation_0-mlogloss:0.741807
[46]	validation_0-merror:0.383333	validation_0-mlogloss:0.742578
[47]	validation_0-merror:0.383333	validation_0-mlogloss:0.738895
[48]	validation_0-merror:0.383333	validation_0-mlogloss:0.739845
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.739433
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.735235
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.736618
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.735404
[53]	validation_0-merror:0.383333	validation_0-mlogloss:0.736294
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.743116
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.74431
Stopping. Best iteration:
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.735235

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0657
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03649
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.997903
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976761
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954021
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.929258
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.912949
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.899386
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.88148
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.868967
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849789
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.836606
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.825027
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.810822
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799692
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.79879
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.793604
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.788404
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.781446
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.777448
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.77123
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.766056
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.765336
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.759122
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.758525
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756347
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.750602
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.742669
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.741182
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.73651
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.732945
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.72954
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.728588
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.728473
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.726403
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.724613
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.718738
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.719404
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.71631
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.71416
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.707949
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.705867
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.706911
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.702662
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.698498
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.695148
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.695809
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.696621
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.695201
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.696528
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.692298
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.6906
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.686705
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.688074
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.693416
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.691102
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.692274
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.691421
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.686705

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05087
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01463
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985919
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957662
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.948773
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.920993
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.905015
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.886016
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.869338
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.846725
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.83371
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.821316
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.807793
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.796202
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.787767
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784131
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.772556
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.760738
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.75588
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.750576
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.742939
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740002
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.728427
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.720872
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.712765
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.711214
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70647
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.705889
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.703089
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.700917
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.698142
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.693366
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.689902
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.687077
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.685321
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.680046
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.678002
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.673998
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.676065
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.673873
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.675567
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.671436
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.670694
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.669568
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.668343
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.664144
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.662324
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.660784
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.659183
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.658387
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.658899
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.660867
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.660287
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.662455
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.664183
Stopping. Best iteration:
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.658387

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06353
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03102
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00114
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.97188
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.942169
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.92336
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.907985
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.891946
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.870726
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.855868
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.843191
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.83254
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.827203
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.819504
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.815585
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.809533
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.80798
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.801686
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.795682
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.792506
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.790554
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.785103
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.781104
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.777788
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.779244
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.77734
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.773083
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.769216
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.766117
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.764995
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.765006
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.764272
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.762852
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.766971
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.765859
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.766268
[36]	validation_0-merror:0.4	validation_0-mlogloss:0.767682
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.770878
Stopping. Best iteration:
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.762852

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06659
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03873
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.0097
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.982144
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.961126
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.938207
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.918654
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.905555
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.88799
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.870971
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.858048
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.846098
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.832164
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.820608
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.812601
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.807983
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80296
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.796122
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.789311
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.780305
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.778414
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.776952
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.770905
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.763317
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.763895
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756753
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.756998
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.750525
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.748019
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.743155
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.746063
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.740038
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.735948
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.737508
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.733532
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.735486
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.734599
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.734319
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.732957
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.733238
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.728003
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.726341
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.726858
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.727805
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.727856
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.724574
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.719911
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.720051
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.722945
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.728024
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.727959
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.72908
Stopping. Best iteration:
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.719911

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02416
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.992385
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.967001
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.9388
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.915801
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.895148
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.882013
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.862595
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.850844
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.839167
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.821689
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80336
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.789327
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.781994
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.772318
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.763717
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.755616
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.745852
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.736983
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.729467
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.726012
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.718508
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.713534
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.708721
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.70276
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.701468
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.696865
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.69511
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.690209
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.688621
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.682891
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.67962
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.679006
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.678795
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.679905
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.680718
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.678142
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.67724
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.676969
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.68021
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.680968
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.680886
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.683026
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.686364
Stopping. Best iteration:
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.676969

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06001
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03221
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.0017
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.985977
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.95773
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.936077
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.921846
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.915209
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.906826
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.89435
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.881541
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.871895
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.858251
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.846654
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.838454
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.827628
[16]	validation_0-merror:0.416667	validation_0-mlogloss:0.819858
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.816759
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.813554
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.811499
[20]	validation_0-merror:0.416667	validation_0-mlogloss:0.807543
[21]	validation_0-merror:0.416667	validation_0-mlogloss:0.806095
[22]	validation_0-merror:0.416667	validation_0-mlogloss:0.802536
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.799987
[24]	validation_0-merror:0.416667	validation_0-mlogloss:0.79658
[25]	validation_0-merror:0.416667	validation_0-mlogloss:0.794815
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.792284
[27]	validation_0-merror:0.416667	validation_0-mlogloss:0.794192
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.793028
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.791973
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.795182
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.798026
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.798227
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.799128
[34]	validation_0-merror:0.416667	validation_0-mlogloss:0.799394
Stopping. Best iteration:
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.791973

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06524
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.0308
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00014
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.980768
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.95609
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.92657
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.911132
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901899
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.882476
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866453
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.847963
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.830914
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.813246
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.801566
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.794413
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.786923
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.773256
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.763282
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.760351
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.750058
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743222
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741876
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.734371
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.726382
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.722548
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.717369
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.716154
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.708363
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.702498
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.700486
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.70097
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.699356
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.697521
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.696971
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.692828
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.695159
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.697063
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.696042
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.695005
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.692971
Stopping. Best iteration:
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.692828

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05704
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02173
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.993474
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.958627
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.951861
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.927479
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.908287
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.896298
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.881334
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.865325
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.855729
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.843259
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.830598
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.820017
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.815069
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.81488
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.800102
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.7896
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.783813
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.778542
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.768796
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.758865
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.753857
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.747003
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.743018
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.742761
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.733049
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.731108
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.724255
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.717459
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.711168
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.705215
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.70335
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.700801
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.698407
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.695146
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.690833
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.683461
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.683813
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.681717
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.683599
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.682501
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.680014
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.681373
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.681182
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.683147
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.67976
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.678959
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.678865
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.680054
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.679465
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.680912
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.679952
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.685161
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.678865

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06024
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03497
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.999557
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.97237
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940557
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917217
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.895823
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.882068
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.864356
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.845995
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.833305
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.82444
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.822835
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813017
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.807896
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.800864
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.796636
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.792942
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792723
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.791932
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.792185
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.783653
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.784783
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.782766
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.780601
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.781645
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.779143
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.776024
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.768368
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.768294
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.767463
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.767266
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.766268
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.768837
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.774055
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.776702
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.773959
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.776761
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.766268

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06384
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03651
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.996443
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.973459
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.942804
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921433
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.908742
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.89686
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.881997
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.869167
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.853186
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.843508
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.831976
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.820376
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.802568
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.796259
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.791044
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.788472
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.779428
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.774009
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.77376
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.773524
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.768303
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.758367
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.756157
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.752876
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.745057
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.74376
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.740865
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.737713
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.738509
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.740896
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.741468
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.744478
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.74856
Stopping. Best iteration:
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.737713

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.04999
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00924
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.97768
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.949881
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.949115
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.920307
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.900549
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.890245
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.87526
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.859813
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.84215
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.835943
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.821664
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808364
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.79807
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.796229
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.787451
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.780972
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.776189
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.770074
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.761007
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.756449
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.745979
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.734741
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.727843
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.729476
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.7237
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.725253
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.718791
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.71633
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.713222
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.709277
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.703685
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.706854
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.706748
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.703399
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.703245
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.703092
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.706094
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.705276
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.702642
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.703408
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.702282
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.700612
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.700224
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.701303
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.703198
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.702374
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.701393
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.704045
Stopping. Best iteration:
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.700224

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06257
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03476
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00656
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.974101
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.947196
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.928009
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.910483
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.894139
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.870282
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.860102
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.850405
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.848546
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.840526
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.834074
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.82832
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.81564
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.815998
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.817009
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.81842
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.813315
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.810155
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.807177
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.80396
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.80014
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.802752
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.803192
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.799021
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.797923
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.796566
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.794445
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.794701
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.795857
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.797032
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.794397
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.797209
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.798816
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.798456
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.80426
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.806468
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.794397

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06359
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02926
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.999296
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.979182
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.953639
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.94216
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.931802
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.922798
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.904049
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.894822
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.880832
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.867566
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.857634
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.850808
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.835447
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.832312
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.82867
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.824845
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.813612
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.811014
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.812395
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.809611
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.806067
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.798744
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.795146
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.796697
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.794055
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.792847
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.790114
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.78283
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.783685
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.782362
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.777767
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.776797
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.777659
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.780997
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.783252
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.785643
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.782258
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.776797

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05255
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01979
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.99114
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966277
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.932279
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.906464
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.891187
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.88099
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.865957
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.851547
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.840644
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.824281
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.80268
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.785083
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.776625
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.766853
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.759101
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.751817
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.742481
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.733704
[20]	validation_0-merror:0.233333	validation_0-mlogloss:0.724799
[21]	validation_0-merror:0.233333	validation_0-mlogloss:0.72141
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.718794
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.713614
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.712594
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.705456
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.701723
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.696828
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.697412
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.694251
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.693519
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.692154
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.688966
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.689915
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.686008
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.6841
[36]	validation_0-merror:0.233333	validation_0-mlogloss:0.684841
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.685068
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.684034
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.682386
[40]	validation_0-merror:0.233333	validation_0-mlogloss:0.681028
[41]	validation_0-merror:0.233333	validation_0-mlogloss:0.679852
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.679275
[43]	validation_0-merror:0.233333	validation_0-mlogloss:0.680416
[44]	validation_0-merror:0.233333	validation_0-mlogloss:0.679671
[45]	validation_0-merror:0.25	validation_0-mlogloss:0.682137
[46]	validation_0-merror:0.25	validation_0-mlogloss:0.684392
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.686779
Stopping. Best iteration:
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.679275

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05681
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03155
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00551
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.988985
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.960048
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.936882
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.921852
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.916398
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.905815
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.894374
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.88129
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.86934
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.853217
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.842895
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.836354
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.829463
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.821465
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.816142
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.816506
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.811592
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.813546
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.812567
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.812031
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.809219
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.806372
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.806282
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.808139
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.811946
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.810799
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.813989
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.819122
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.806282

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05704
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03017
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995675
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.973858
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.953746
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.933196
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.910603
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.89985
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.87975
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.864473
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.851946
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.8361
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.815716
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.805319
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79986
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.795551
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.784531
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.774696
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.772057
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.769402
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.760884
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.765987
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.763172
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.758977
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.752677
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.750798
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.749386
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.747227
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.742963
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.741789
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.742605
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.744632
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.741747
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.741098
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.738347
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.741085
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.744186
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.747317
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.74735
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.748091
Stopping. Best iteration:
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.738347

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.05676
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02168
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.995588
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.967958
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.960974
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.938747
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.920826
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.906593
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.888802
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.872553
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.865257
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.8547
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.844441
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.834936
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.824683
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.824229
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.813031
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.799962
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.795018
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.787249
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.778466
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.771039
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.76237
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.756328
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.748448
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.74612
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.738441
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.738826
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.73056
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.726359
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.719221
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.712893
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.712256
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.712022
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.710279
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.706438
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.703396
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.698406
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.698624
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.699897
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.702099
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.700511
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.695192
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.693155
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.692551
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.693033
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.694456
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.691225
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.690039
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.692291
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.689871
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.690618
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.691657
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.694132
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.693935
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.693325
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.689871

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05955
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03878
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00446
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982392
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.945187
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.924365
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.903507
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.886336
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.868023
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.851959
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.836496
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.823987
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.819845
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.813522
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.805227
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.792033
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.784915
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.78254
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.781744
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.779516
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.776637
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.772978
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.770307
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.769127
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.766927
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765347
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.763013
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.761536
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.763302
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.765138
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.76845
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.768554
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.768896
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.761536

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0612
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03346
[2]	validation_0-merror:0.25	validation_0-mlogloss:0.994794
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.979124
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.947707
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.926183
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.907871
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.89582
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.882693
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.868869
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.852804
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.843431
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.829458
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.812905
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797718
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.795084
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.786181
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.780528
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.771779
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766648
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.763567
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.760719
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.756796
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.746521
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.743652
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.740839
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.735773
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.727413
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.72241
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.718591
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.717984
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.72022
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.720214
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.720767
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.722128
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.727995
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.717984

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05091
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01084
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.976694
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.94662
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.945455
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.9158
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.900681
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.882715
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.864507
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.846995
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.830342
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.817946
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.807308
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.793117
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790132
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.786759
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776014
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.764345
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757188
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.751459
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.745366
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.741475
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.732576
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727287
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.721554
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.720353
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.712824
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.711986
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.705491
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.706001
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.704862
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.70109
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.69699
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.696579
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.693676
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.691197
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.692887
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.692687
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.693798
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.692259
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.691456
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.691197

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06379
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03276
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00015
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.968475
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.93982
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.920055
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.900721
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.888008
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.865342
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.854603
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.843337
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.836808
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831254
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.819711
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.81398
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.804218
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.805475
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.80079
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.796977
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.796754
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.795004
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.793113
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.787953
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.78424
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.783438
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.782252
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.779391
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.777017
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.779989
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.779292
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.777296
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.78014
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.780866
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.777017

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06157
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03251
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00118
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.978813
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.948707
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.934771
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.914753
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.901656
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.881112
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.868057
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.854673
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.843307
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.827798
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.81771
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.80157
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.797951
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.790785
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.784468
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.776325
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.769094
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.771009
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.769453
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.766955
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.75981
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.755946
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.754503
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.750206
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.748621
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.747537
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.743525
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.746381
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.747274
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.743273
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.747013
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.746853
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.74953
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.748418
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.74827
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.743273

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05741
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02493
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.992807
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970118
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.940441
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.914421
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.897638
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.884141
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.869836
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.855699
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.846151
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.834627
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.815336
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.800919
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.793068
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.787259
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.777057
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.768612
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.760167
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.750677
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.744602
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.739554
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.734195
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.732982
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.730188
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.726084
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.723131
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.72115
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.720462
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.714995
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.713449
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.71303
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.709348
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.706087
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.704417
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.70564
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.705768
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.706163
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.704981
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.704874
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.704417

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05787
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03147
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00137
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.983252
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.962961
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.940056
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.92535
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.91979
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.907906
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.896745
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.884576
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.86779
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.854447
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.84143
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.831119
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.822658
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.815791
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.810402
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.806628
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.8008
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.798319
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.79667
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.793162
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.791505
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.787979
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.784673
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.784986
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.787342
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.786897
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.789133
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.795014
Stopping. Best iteration:
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.784673

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05782
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03136
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00058
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.980802
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.954772
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.931685
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.918441
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.907907
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.889363
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.874341
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.862308
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.845946
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.824273
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.812349
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.808078
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.798478
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.788869
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.783045
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.776313
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.768533
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.761807
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.764101
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.75974
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.755723
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74989
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.742854
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741443
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.7378
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.733461
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.732238
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.732055
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.732911
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.732784
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.731639
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.729265
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.726548
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.728068
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.729095
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.727561
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.72902
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.72718
Stopping. Best iteration:
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.726548

[0]	validation_0-merror:0.533333	validation_0-mlogloss:1.05967
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0275
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998181
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.972454
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.962578
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.938503
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.921567
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.904966
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.889743
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.872799
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.862474
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.850453
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.837538
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.825392
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.818386
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.816662
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.804199
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.791179
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.78699
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.782073
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.771617
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.764592
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.755882
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.748738
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.740533
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.739169
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.730674
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.721745
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.715235
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.710367
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.70614
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.699782
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.700912
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.698047
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.697705
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.695097
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.69489
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.692577
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.693991
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.691423
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.691867
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.69277
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.691209
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.687603
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.688241
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.68754
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.687846
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.684924
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.681892
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.683897
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.681183
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.684807
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.68628
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.685542
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.684779
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.684879
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.681183

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05987
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03326
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.997506
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.976679
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.942886
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.922417
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.901758
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.887229
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.867805
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.850731
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.832483
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.823059
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.818926
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.809126
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.804133
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.793781
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.786179
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.781818
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.776956
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.772412
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.766398
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.76074
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.758925
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.75895
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.758826
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.758228
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.755604
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.751308
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.750649
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.749912
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.751087
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.749206
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.74273
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.739553
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.743836
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.749857
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.745271
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.744071
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.745573
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.739553

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06779
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03862
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00138
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.97908
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.9508
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.925017
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.907752
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.89442
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.880154
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.867453
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.849244
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.840877
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.828443
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813398
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.801113
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.799532
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.792293
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.788208
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.780818
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.779152
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.774506
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.768554
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.76454
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.757839
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.754701
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.751412
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.746156
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.738084
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737718
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.734048
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.730897
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.728878
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.72488
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.72444
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.721911
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.725024
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.721148
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.71994
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.717069
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.715215
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.709923
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.706581
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.708981
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.705203
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.706076
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.705953
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.703895
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.704665
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.70768
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.707654
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.704691
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.70351
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.699423
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.699301
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.702225
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.699538
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.699865
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.697437
[58]	validation_0-merror:0.333333	validation_0-mlogloss:0.69624
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.700842
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.703045
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.702559
[62]	validation_0-merror:0.316667	validation_0-mlogloss:0.705547
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.70539
Stopping. Best iteration:
[58]	validation_0-merror:0.333333	validation_0-mlogloss:0.69624

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05209
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01415
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.983793
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.957044
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.952428
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.920961
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.9047
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.887065
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867051
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.849576
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.836841
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.82673
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.813269
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.798279
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788051
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784642
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.774467
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.764074
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.758517
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.75391
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.7454
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.742655
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.735026
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727159
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.718814
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.717249
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.710857
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.709075
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.702003
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.699781
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.697433
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.690919
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.68687
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.684475
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.682001
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.679144
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.677567
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.679052
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.681012
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.678222
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.675083
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.671299
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.668224
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.66574
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.663581
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.661886
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.662897
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.661793
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.660967
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.661968
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.662595
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.664195
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.663924
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.668171
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.660967

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.06169
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03283
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00304
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.973792
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.942937
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.9218
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.906524
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.891696
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867987
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.851364
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.840738
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.832719
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.825158
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.817167
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.815151
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.80707
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.804837
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800627
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.797885
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.796896
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.792772
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.790275
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.7847
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.779975
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.779285
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.778899
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.77592
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.774594
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.775613
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.77466
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.77545
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.776227
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.776182
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.774594

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06315
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03597
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00578
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.9775
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.944935
[5]	validation_0-merror:0.25	validation_0-mlogloss:0.922643
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.903874
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.889228
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.873641
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.859779
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.843836
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.832335
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.818312
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.806808
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.79277
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.78851
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.783956
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.777595
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.768635
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.763489
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.763299
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.760827
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.757013
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.751483
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.747357
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.744445
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.742474
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.738412
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.734816
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.72946
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.730546
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.728951
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.724605
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.727085
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.727349
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.729416
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.728732
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.729623
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.724605

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05634
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02425
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.992881
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.966365
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.93967
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.914611
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.897668
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.887658
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.869228
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.859459
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.848938
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.831266
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.810248
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.799602
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.790278
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.778241
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.76939
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.761949
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.751769
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.741532
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.735
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.731516
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.726387
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.723809
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.719214
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714611
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.711005
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.707843
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.706317
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.700998
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.696943
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.69202
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.690624
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.686353
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.685115
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.686156
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.68498
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.683879
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.682962
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.682688
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.684903
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.685059
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.686553
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.68584
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.688972
Stopping. Best iteration:
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.682688

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05867
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03104
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999346
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.981718
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.956869
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.935491
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.919742
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.911273
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.899468
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.888094
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.878948
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.864163
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.850766
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.839576
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.831711
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.821904
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.815586
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.813821
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.808281
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.80324
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.798469
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.794449
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.790499
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.786549
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.786168
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.785687
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.784802
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.78422
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.783938
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.782963
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.786741
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.789142
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.787242
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.788614
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.788435
Stopping. Best iteration:
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.782963

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06341
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0323
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.997709
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.979482
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.956942
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.933542
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.91699
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.903969
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.885271
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.868714
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.851318
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.836256
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.818277
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.807368
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800501
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.790767
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.776503
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769799
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.767194
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.758865
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.754099
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.754162
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.747679
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.739613
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.732394
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.726662
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.725615
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.721494
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.715969
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.71456
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.714886
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.714864
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.70885
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.707245
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.707228
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.70472
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.709181
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.710541
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.708801
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.707977
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.703503
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.703675
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.70094
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.699519
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.703021
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.701074
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.70173
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.703006
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.703308
Stopping. Best iteration:
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.699519

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06128
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02989
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.996512
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.970771
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.962002
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.935071
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.91673
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901679
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.886518
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.869788
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.857255
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.841722
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.828251
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813702
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.807835
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.805849
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.795073
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.78344
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.779197
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.772365
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.763002
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.755337
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.748271
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.744767
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.733861
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.733459
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.726913
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.723492
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.7184
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.714304
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.708335
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.705558
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.705643
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.703555
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.704841
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.701933
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.703681
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.699652
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.700098
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.697962
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.700821
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.70176
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.69957
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.696503
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.695689
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.69355
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.694377
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.690845
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.688188
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.69032
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.688655
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.691058
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.690611
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.692416
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.688188

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.04322
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00721
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.981928
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.949778
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.929684
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.910077
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.890945
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.873556
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.857637
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.841701
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.832605
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.827846
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.818629
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.812869
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.805832
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800271
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.793704
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.786683
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.781118
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.774917
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.768409
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767157
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.76516
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.765864
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.762866
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.76158
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.758369
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.755087
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.752687
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.753803
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.75026
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.748609
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.74813
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.75048
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.752014
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.74771
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.752803
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.752333
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.751361
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.748493
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.745274
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.745961
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.743909
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.74183
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.744234
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.744934
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.744636
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.748779
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.747903
Stopping. Best iteration:
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.74183

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.07022
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04127
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00255
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981355
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.955909
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.933095
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.911104
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.897767
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.88299
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.870768
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.849556
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.838512
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.825599
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.809507
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797624
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797877
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.792332
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.785853
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.77249
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.768596
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.762588
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.753662
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.750758
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.740856
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.739653
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.735024
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.72985
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.724693
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.721442
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.717288
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.711734
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706588
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.705771
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.7062
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.703672
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.702689
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.697727
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.69707
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.694381
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.690743
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.684889
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.682723
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.683972
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.680555
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.679471
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676632
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.677566
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.678222
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.682987
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.682726
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.680128
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676632

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01287
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.987917
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.957243
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.949279
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.917874
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896776
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.879748
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864312
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.844965
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.831541
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.817468
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805531
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.796594
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788028
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.785543
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.771446
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.759975
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.755715
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.751282
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.740102
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.737167
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.727404
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.722635
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.714736
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.712702
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.706947
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.706384
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.702798
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.698473
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.695681
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.690592
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.685839
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.683038
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.679936
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.673782
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.671769
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.670451
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.671916
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.668589
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.670537
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.664884
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.665648
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.662993
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.66184
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.660044
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.65801
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.655059
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.652782
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.652552
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.653274
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.654888
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.654388
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.657439
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.658735
Stopping. Best iteration:
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.652552

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06326
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0303
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.999959
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.967098
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.935827
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.916795
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.901796
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.88545
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.861419
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.847285
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.837384
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.829103
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82488
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.817012
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.814393
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.805283
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.8026
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.795405
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.790842
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.790809
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.7836
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.780093
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.774396
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.772979
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.774347
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.772105
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.767559
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.767272
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.765383
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.764258
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.763413
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.766074
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.767021
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.76757
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.767521
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.767988
Stopping. Best iteration:
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.763413

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06716
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03729
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.0047
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976484
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.947373
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.924426
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.906312
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.892219
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.873704
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.859853
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.846563
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.834245
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.821894
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.810054
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.801222
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.797633
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.793095
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.785148
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.778214
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.77044
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.767911
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.765038
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.757459
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.748197
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.74724
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.742538
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.740002
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.735029
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.733272
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.727603
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.73053
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.725131
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.719948
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.72613
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.723499
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.723265
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.719712
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.719125
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.718141
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.717491
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.713956
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.712827
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.712726
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.714372
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.717894
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.713936
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.709738
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.708714
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.708783
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.711019
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.708011
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.709411
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.707432
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.705455
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.710097
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.708217
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.706245
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.706038
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.704905
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.705875
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.705962
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.710616
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.71451
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.715835
Stopping. Best iteration:
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.704905

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05774
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02501
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993676
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969841
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941365
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.916052
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897271
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.886496
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.867749
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.856425
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842988
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.826545
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.807892
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.794743
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.785587
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.776451
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.770345
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.762525
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.75192
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.744306
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.73874
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.73141
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.727255
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.723103
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.720829
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.718872
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.716433
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.713287
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.712897
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.708151
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.707709
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.702514
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.702107
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.699023
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.700288
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.699601
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.699929
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.699978
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.699758
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.699023

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05814
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02997
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00055
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.982139
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.952768
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.932666
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.918263
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.913383
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.90363
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.892703
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.881097
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.870925
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.857294
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.845951
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.839186
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.830057
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.822061
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.818377
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.813363
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.809664
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.807695
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.80538
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.802069
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.802976
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.800873
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.798539
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.799026
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.80098
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.800183
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.798527
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.801074
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.802151
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.801661
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.803626
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.803572
Stopping. Best iteration:
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.798527

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06369
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03104
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.999086
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.978671
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.956017
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.929409
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.913826
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.900863
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.884625
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.87093
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.852491
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.835014
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.819086
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.808009
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.803192
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.794273
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.778964
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769632
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.763593
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.754728
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.753419
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.752542
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.743613
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.734124
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.727669
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.722848
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.722283
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.719022
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.713112
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.711052
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.710476
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.711677
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.711971
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.710998
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.7105
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.709248
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.711895
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.714811
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.712897
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.713124
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.710906
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.709248

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02768
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.998338
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.971385
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.96248
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.940185
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.920968
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.903699
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.886441
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.870131
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.856125
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.840842
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.827807
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.814519
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.804707
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.802591
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.790148
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.778858
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.776184
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.771543
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.760886
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.753534
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.75003
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.745089
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.734195
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.734288
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.727397
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.725249
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.718148
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.715076
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.711742
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.707711
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.706637
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.70388
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.703303
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.699424
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.699662
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.70152
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.703798
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.702162
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.705144
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.699424

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06457
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04173
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00733
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982999
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.949739
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.931661
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.913235
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.897014
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.880495
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.865393
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.847954
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.837511
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.831124
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.820128
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.813476
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.805764
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.800575
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.790905
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785512
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.779269
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.777311
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.772695
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.771231
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.768986
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.767655
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765964
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.764675
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.762243
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.759902
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.759667
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.759299
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.757152
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.756288
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.756614
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.758967
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.756362
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.754023
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.753352
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.75361
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.754203
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.751935
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.748189
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.748384
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.747267
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.746018
[45]	validation_0-merror:0.383333	validation_0-mlogloss:0.741807
[46]	validation_0-merror:0.383333	validation_0-mlogloss:0.742578
[47]	validation_0-merror:0.383333	validation_0-mlogloss:0.738895
[48]	validation_0-merror:0.383333	validation_0-mlogloss:0.739845
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.739433
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.735235
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.736618
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.735404
[53]	validation_0-merror:0.383333	validation_0-mlogloss:0.736294
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.743116
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.74431
Stopping. Best iteration:
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.735235

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0657
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03649
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.997903
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976761
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954021
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.929258
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.912949
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.899386
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.88148
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.868967
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849789
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.836606
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.825027
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.810822
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799692
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.79879
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.793604
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.788404
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.781446
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.777448
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.77123
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.766056
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.765336
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.759122
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.758525
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756347
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.750602
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.742669
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.741182
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.73651
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.732945
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.72954
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.728588
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.728473
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.726403
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.724613
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.718738
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.719404
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.71631
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.71416
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.707949
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.705867
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.706911
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.702662
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.698498
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.695148
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.695809
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.696621
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.695201
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.696528
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.692298
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.6906
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.686705
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.688074
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.693416
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.691102
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.692274
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.691421
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.686705

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05087
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01463
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985919
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957662
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.948773
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.920801
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904806
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885806
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.869105
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.846463
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.833412
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.820999
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.807466
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.797537
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.789503
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.785514
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775639
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763934
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759112
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753811
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746239
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.74329
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.733705
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.72892
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.720614
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.719115
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.713844
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.713295
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.710698
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.70849
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.705868
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.702514
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.698375
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.696591
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.694923
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.689732
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.687644
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.683605
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.685674
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.683488
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.685235
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.681104
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.680248
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.679147
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.677214
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.672995
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.671139
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.668801
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.667166
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.666265
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.666812
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.668223
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.667546
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.67051
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.672233
Stopping. Best iteration:
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.666265

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06353
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03102
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00114
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.97188
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.942677
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.92432
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.908942
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.892931
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.871663
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.856784
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.844091
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833439
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.828085
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.820333
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.817092
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.810938
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.8094
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.8031
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.797043
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.793926
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.792211
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.786721
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.782742
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.779396
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.780582
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.778664
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.774308
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.770422
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.767153
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.765921
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.767466
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.76642
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.765011
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.766366
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.765249
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.765654
[36]	validation_0-merror:0.4	validation_0-mlogloss:0.767075
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.769571
Stopping. Best iteration:
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.765011

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06659
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03873
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.0097
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.982144
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.961126
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.938207
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.918654
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.905555
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.88799
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.870971
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.858048
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.846098
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.832164
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.820608
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.812601
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.807983
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80296
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.796122
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.789311
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.780305
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.778414
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.776952
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.770905
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.763317
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.763895
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756753
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.756998
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.750525
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.748019
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.743155
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.746063
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.740038
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.735948
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.737508
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.733532
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.735486
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.734599
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.734319
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.732957
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.733238
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.728003
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.726341
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.726858
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.727805
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.727856
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.724574
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.719911
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.720051
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.722945
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.728024
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.727959
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.72908
Stopping. Best iteration:
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.719911

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02554
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993599
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.96823
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.940036
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.917497
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.896856
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.882786
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.863863
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.852138
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.839987
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822442
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.803873
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.789815
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.782819
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.77269
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.764758
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.755964
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.745784
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.737302
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.730788
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.727261
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.720236
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.716708
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.711661
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.705913
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.703533
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.698488
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.696788
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.692951
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.690957
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.685313
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.684594
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.680682
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.682495
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.682055
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.681363
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.680573
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.681452
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.681231
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.685132
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.685918
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.685929
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.680573

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06001
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03221
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.0017
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.985977
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.95773
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.936077
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.921846
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.915209
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.906826
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.89435
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.881541
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.871895
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.858086
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.846482
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.838289
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.829787
[16]	validation_0-merror:0.416667	validation_0-mlogloss:0.822568
[17]	validation_0-merror:0.416667	validation_0-mlogloss:0.819126
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.814328
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.81321
[20]	validation_0-merror:0.416667	validation_0-mlogloss:0.807569
[21]	validation_0-merror:0.416667	validation_0-mlogloss:0.805619
[22]	validation_0-merror:0.416667	validation_0-mlogloss:0.802066
[23]	validation_0-merror:0.416667	validation_0-mlogloss:0.798367
[24]	validation_0-merror:0.416667	validation_0-mlogloss:0.795129
[25]	validation_0-merror:0.416667	validation_0-mlogloss:0.793288
[26]	validation_0-merror:0.416667	validation_0-mlogloss:0.790651
[27]	validation_0-merror:0.416667	validation_0-mlogloss:0.793369
[28]	validation_0-merror:0.416667	validation_0-mlogloss:0.792721
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.790497
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.794139
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.797282
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.797522
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.798244
[34]	validation_0-merror:0.416667	validation_0-mlogloss:0.798444
Stopping. Best iteration:
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.790497

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06524
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.0308
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00014
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.980768
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.95609
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.92657
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.911132
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901899
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.882476
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866453
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.847963
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.830914
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.813246
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.801566
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.794413
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.786923
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.773256
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.763282
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.760351
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.750058
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743222
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741876
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.734371
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.726382
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.722548
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.717369
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.716154
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.708363
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.702498
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.700486
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.70097
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.699356
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.697521
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.696971
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.692828
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.695159
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.697063
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.696042
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.695005
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.692971
Stopping. Best iteration:
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.692828

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05726
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02672
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00005
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.970093
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.962484
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.941913
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.924615
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.909442
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.888094
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.872431
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.859473
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.845054
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.832724
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.823359
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.812038
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.807477
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.794792
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.782546
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.776856
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.772352
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.764439
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.757693
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.750501
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.74397
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.732051
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.724935
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.710236
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.704224
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.701387
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.694665
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.690829
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.686997
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.682445
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.679344
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.679165
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.678263
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.676744
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.672063
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.672925
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.668504
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.669243
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.6705
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.665135
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.664247
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.66019
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.656601
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.656268
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.654527
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.65347
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.655866
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.652293
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.653266
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.654461
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.658103
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.657078
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.655262
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.652293

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06397
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.04005
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00421
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.983026
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.954007
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.932684
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.911895
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.89587
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.875726
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.859103
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.842358
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.830482
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.823796
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.816267
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.809338
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.80054
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.794128
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.788374
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.784797
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.776131
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.773607
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.766682
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765634
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.760832
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.759022
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.75583
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.752022
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.748436
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.741805
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.740571
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.740675
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.736808
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.73498
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.731761
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.735259
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.73489
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.728157
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.729213
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.727588
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.72588
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.724384
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.723437
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.723103
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.718644
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.717075
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.718744
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.721961
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.718908
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.720891
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.728751
Stopping. Best iteration:
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.717075

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.0702
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.04471
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00802
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.990692
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.960912
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936933
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.917837
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.90026
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.879933
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.867857
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.847077
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.83385
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.819437
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.801252
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.785126
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.779313
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.769091
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.765522
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.753536
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.747135
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.742854
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.735477
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.729115
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.721967
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.7198
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.715603
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.71159
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.70621
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.700365
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.694427
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.686615
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.683628
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.679463
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.680428
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.677856
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.67652
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.670106
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.669281
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.667903
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.666274
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.663297
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.657496
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.656829
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.650915
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.648466
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.647373
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.648779
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.648962
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.648537
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.647024
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.648173
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.647515
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.641692
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.64356
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.64683
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.644361
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.646044
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.643774
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.641692

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05311
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01885
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.992598
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.963711
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.955657
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.928463
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.908113
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.890626
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.872198
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.853284
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.839063
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.82336
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.809987
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.800039
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.79068
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.783709
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774562
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.764244
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.758715
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.751995
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.745963
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741002
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.729706
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.72462
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.716378
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.711443
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.703321
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.701187
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.698469
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.694807
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.689965
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.686372
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.681948
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.677629
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.67508
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.672948
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.669031
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.670816
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.674116
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.671279
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.67218
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.671371
Stopping. Best iteration:
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.669031

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06436
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03619
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00717
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.979869
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952996
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.930589
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.91408
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.899619
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.879424
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.864341
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853667
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.845291
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.835767
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.826861
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.817721
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.808024
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.805417
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.801962
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.793867
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.790817
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.783908
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.779469
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.774772
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.768403
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.766671
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.762067
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.753977
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.754221
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.750193
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.747963
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.745333
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.745945
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.742764
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.738196
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.738252
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.735458
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.734711
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.734968
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.733238
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.732566
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.732724
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.732529
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.732322
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.730802
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.730223
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.726162
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.725535
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.725399
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.722365
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.724078
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.725749
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.727404
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.730781
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.731421
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.722365

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06927
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04446
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.01187
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.988847
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.965723
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.945113
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.927134
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.911513
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.888025
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.872132
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.858835
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.845672
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.83299
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.822731
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.811514
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.803085
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.79649
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.785969
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.775231
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.768212
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.765694
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.761694
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.753594
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.746678
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.738399
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.733238
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.728854
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.723799
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.717105
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.711065
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.706808
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.704542
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.698581
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.700418
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.695274
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.69274
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.688144
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.685665
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.680677
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.679363
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.6766
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.675881
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.67409
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.671584
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.673219
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.670664
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.666871
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.667257
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.666941
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.669705
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.667741
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.666063
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.664779
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.667258
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.666357
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.665527
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.66302
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.660247
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.659117
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.656818
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.65277
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.653012
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.653805
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.65538
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.657432
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.6544
Stopping. Best iteration:
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.65277

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05659
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02433
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.993379
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970753
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.941311
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917251
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.901316
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.890706
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.876299
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.862143
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.848812
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.835871
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.822599
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.809083
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.799409
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.786916
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.779198
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.769054
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759673
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.750192
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743467
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.738052
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731234
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.727527
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.724402
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.719693
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.717673
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.715106
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.713818
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.708034
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703866
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.69935
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.699216
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.697383
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.696395
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.69373
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.687208
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.681994
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.683
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.680673
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.67992
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.678259
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.675528
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.673625
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.670957
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.671466
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.670288
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.669339
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.67094
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.668733
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.666964
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.667211
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.668096
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.667576
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.668444
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.667895
Stopping. Best iteration:
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.666964

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06173
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0324
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.0066
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.987192
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.961958
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.936442
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.92171
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.911402
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.897534
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.883863
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.870499
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.855375
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.841011
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.828179
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.820683
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.816872
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.808566
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.802375
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.796988
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.788644
[20]	validation_0-merror:0.416667	validation_0-mlogloss:0.785776
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.783286
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.780444
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.775986
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.772234
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.769093
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.764629
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.762103
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.758172
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.756962
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.759091
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.757811
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.751902
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.750518
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.744728
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.740605
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.74171
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.742861
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.737756
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.73835
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.737469
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.733927
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.73232
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.730004
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.729487
[45]	validation_0-merror:0.383333	validation_0-mlogloss:0.726948
[46]	validation_0-merror:0.383333	validation_0-mlogloss:0.730002
[47]	validation_0-merror:0.383333	validation_0-mlogloss:0.728317
[48]	validation_0-merror:0.383333	validation_0-mlogloss:0.727365
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.726615
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.725043
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.723681
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.723844
[53]	validation_0-merror:0.383333	validation_0-mlogloss:0.726321
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.725693
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.724383
[56]	validation_0-merror:0.383333	validation_0-mlogloss:0.723928
Stopping. Best iteration:
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.723681

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07327
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04155
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.01652
[3]	validation_0-merror:0.4	validation_0-mlogloss:1.00152
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.985254
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.961206
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.946625
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.935171
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.917596
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.902731
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.883005
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.868999
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.851613
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.841103
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.82895
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.823836
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.812416
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.803686
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792047
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.781777
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.774064
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.768645
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.761161
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.755038
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.748215
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.74289
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.736727
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.731651
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.725794
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.721303
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.721816
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.716562
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.709711
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.705351
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.702313
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.698983
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.69572
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.69191
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.68824
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.685729
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.682432
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.678787
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.676506
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.673309
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.671747
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.667846
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.667201
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.665654
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.661108
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.658124
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.656226
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.654479
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.65334
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.652631
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.652632
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.653778
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.650761
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.64921
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.648383
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.648506
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.647468
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.646241
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.644535
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.644155
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.643584
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.64254
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.641942
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.6405
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.6387
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.639715
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.641949
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.641218
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.642403
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.642405
Stopping. Best iteration:
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.6387

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05486
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02446
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00217
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.973142
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.964394
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.945688
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.930538
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.912778
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.894663
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.879073
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.86606
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.851451
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.838905
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.833366
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.821578
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.816209
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.803513
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.791763
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.7878
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.77968
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.770801
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.766003
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.758927
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.752315
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.740996
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.735537
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.723957
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.717267
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.710327
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.700887
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.696687
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.693995
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.688423
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.684165
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.683063
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.680867
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.679475
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.676391
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.673752
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.671099
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.671968
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.672517
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.666511
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.664921
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.661231
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.656825
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.654687
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.652269
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.646916
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.649341
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.646165
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.648182
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.64957
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.652649
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.651881
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.650125
Stopping. Best iteration:
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.646165

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06418
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03976
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00399
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.983579
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955402
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.93462
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.913489
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.896674
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.877743
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.860156
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.844483
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.832248
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.825923
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.816923
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.811017
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.801749
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.795306
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.789697
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.785935
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.778147
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.775499
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.76931
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.767706
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.764127
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.761576
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.758391
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755662
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.752876
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.750387
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.749022
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.748586
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.745256
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.743552
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.740454
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.744025
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.746539
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.741647
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.742082
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.738899
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.737327
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.735465
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.734325
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.731754
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.728916
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.728728
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.729956
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.735546
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.730777
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.731492
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.737075
Stopping. Best iteration:
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.728728

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06946
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.04373
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.007
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.989784
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.961438
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.937408
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.919469
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.902983
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.88422
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.870355
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849391
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.836197
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.821903
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.803518
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.787659
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.781918
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.773151
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.769185
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.757274
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.750838
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.746381
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.737508
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731056
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.723446
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.721857
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.718748
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.710377
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.704373
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.697961
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.693579
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.686536
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.682341
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.678021
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.679003
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.676684
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.678084
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.670436
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.669269
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.668246
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.666469
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.662868
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.657767
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.660041
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.654551
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.651841
[45]	validation_0-merror:0.25	validation_0-mlogloss:0.650542
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.654724
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.653436
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.651752
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.652115
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.652336
Stopping. Best iteration:
[45]	validation_0-merror:0.25	validation_0-mlogloss:0.650542

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05287
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01811
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.991785
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962936
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.954847
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.928676
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.905885
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.889106
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.870694
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.852717
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.838507
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823934
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810909
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.802584
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.792219
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.78538
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77652
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.765916
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759496
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.753186
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.746436
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.74058
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.729354
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.725439
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.7169
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.710476
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.702515
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.700371
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.69748
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.693618
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.687651
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.682253
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.675067
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.672149
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.669353
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.666469
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.662048
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.663637
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.666085
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.663435
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.66383
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.662874
Stopping. Best iteration:
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.662048

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06455
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03634
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00671
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.979224
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.953014
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.930114
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.913455
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.899318
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.879224
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.864025
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853435
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.845136
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.835842
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.827071
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.817913
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.808807
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.805873
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.801901
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.793
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.790214
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.783099
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.779395
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.774734
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.768636
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.767117
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.762345
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.755183
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.755541
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.754028
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751641
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751505
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.751848
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.748244
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.743302
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.744977
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.742094
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.741695
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.7418
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.740501
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.740692
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.738927
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.741554
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.741107
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.73906
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.73788
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.736799
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.735763
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.737839
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.733519
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.737425
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.737782
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.739312
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.738371
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.738671
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.733519

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06861
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.04111
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00945
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.984948
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.961854
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.942788
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.925134
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.910981
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.889733
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.873623
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.861209
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.848962
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.835572
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.825223
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.813685
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.805428
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800346
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.79224
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.782764
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.77576
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.775346
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.773609
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765283
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.758966
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.750466
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.744365
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.738347
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.733539
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.726323
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.720347
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.716564
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.713824
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.707431
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.708079
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.702882
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.700473
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.696027
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.6908
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.687325
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.684964
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.681435
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.682107
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.680414
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.678743
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.679253
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.678066
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.674019
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.673907
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.673431
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.675625
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.675468
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.675354
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.673823
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.674942
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.673431

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05659
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02327
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992351
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.969668
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.941287
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916239
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.901263
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.890655
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.876255
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.863067
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.850035
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.83642
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.821522
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808767
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799529
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.787925
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.778432
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.768772
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759594
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.750276
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.74288
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.738431
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.732356
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.728771
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.725908
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.721081
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.718404
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.715842
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.713702
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.708079
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.704822
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.701342
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.700135
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.697568
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.69671
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.694982
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.690557
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.686171
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.685625
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.683729
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.683147
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.681389
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.678765
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.680174
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.680939
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.683668
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.682826
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.682868
Stopping. Best iteration:
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.678765

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06166
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03201
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00622
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.985205
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.961256
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.93559
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.920402
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.909482
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.894399
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.880583
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.867074
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.851762
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.836474
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.823891
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.816081
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.812538
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.803748
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.796589
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.792997
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.78435
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.778592
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.776217
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.771406
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.765606
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.760419
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.757298
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.755378
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.751827
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.748033
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.746539
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.745881
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.748508
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.741466
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.740974
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.734815
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.733264
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.734589
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.736571
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.733967
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.731566
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.730133
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.728811
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.726694
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.72533
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.723823
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.725708
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.72612
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.727425
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.727821
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.729216
Stopping. Best iteration:
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.723823

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07283
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.04079
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.01534
[3]	validation_0-merror:0.4	validation_0-mlogloss:1.00047
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.978458
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.954362
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.938961
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.927469
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.911015
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.89471
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.87492
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.85867
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.842522
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.831972
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.82273
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818552
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.807056
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.798457
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789723
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.779842
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.773065
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.767673
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.760289
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.752643
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.745683
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.740334
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.733942
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.730436
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.724627
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.720649
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.716178
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.714771
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.708956
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.705652
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.699314
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.695578
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.692137
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.688705
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.685633
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.684803
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.680583
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.679127
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.677427
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.674833
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.673616
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.669654
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.668541
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.666732
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.666091
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.664643
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.662104
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.661337
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.659507
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.656176
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.655639
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.655086
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.653173
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.652499
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.650907
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.651982
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.648886
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.649296
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.646146
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.646759
[64]	validation_0-merror:0.25	validation_0-mlogloss:0.645296
[65]	validation_0-merror:0.25	validation_0-mlogloss:0.644281
[66]	validation_0-merror:0.25	validation_0-mlogloss:0.642221
[67]	validation_0-merror:0.25	validation_0-mlogloss:0.640823
[68]	validation_0-merror:0.25	validation_0-mlogloss:0.641228
[69]	validation_0-merror:0.25	validation_0-mlogloss:0.644537
[70]	validation_0-merror:0.25	validation_0-mlogloss:0.642097
[71]	validation_0-merror:0.25	validation_0-mlogloss:0.640853
[72]	validation_0-merror:0.25	validation_0-mlogloss:0.642614
Stopping. Best iteration:
[67]	validation_0-merror:0.25	validation_0-mlogloss:0.640823

[0]	validation_0-merror:0.516667	validation_0-mlogloss:1.05973
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03024
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00708
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.978927
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.970171
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.950777
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.935343
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.917739
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.896306
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.880408
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.867004
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.851871
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.839479
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.831087
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.819134
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.816432
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.804074
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.792305
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.786998
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.778855
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.771151
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.763766
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.755637
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748598
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.737596
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.735046
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.723709
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.71659
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.711399
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.705538
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.700886
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.696605
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.693187
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.68828
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.685447
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.683848
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.680759
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.675436
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.676367
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.674086
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.673653
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.674047
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.670589
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.668182
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.666001
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.663213
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.662547
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.660079
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.65604
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.657573
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.653905
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.655122
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.656272
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.660628
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.660704
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.659564
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.653905

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06418
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.04058
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00588
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.984957
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.956897
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.936092
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.914339
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.898037
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879306
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.862482
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.847385
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.835133
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.826098
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.818263
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.812792
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.803704
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.797541
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.79276
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789957
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.781777
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.777805
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.774391
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.77278
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.768872
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.76728
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.764309
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.762239
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.756938
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.753632
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.75059
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.752401
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.748844
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.746909
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.743958
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.746845
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.747921
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.742217
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.744509
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.744456
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.743454
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.741272
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.736488
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.734877
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.731895
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.728441
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.729737
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.730665
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.729611
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.731007
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.738896
Stopping. Best iteration:
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.728441

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.07332
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04693
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.01025
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.993076
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.96628
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.942426
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.925563
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.908492
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.890679
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.874271
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.852706
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.838531
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.825626
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.810111
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.798747
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.793204
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.783677
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.778657
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.766138
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.759684
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.75396
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.744951
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.738706
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.730402
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.72923
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.725929
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.718331
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712772
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.708375
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.704631
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.697101
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.692367
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.686643
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.688256
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.685492
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.685916
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.679954
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.677651
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.677566
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.675889
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.673387
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.668021
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.668614
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.665346
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.661446
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.660443
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.663649
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.663379
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.661047
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.661204
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.661357
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.660443

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05261
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01782
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.992705
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.964269
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.956251
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.930094
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.908962
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.891945
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.874153
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855948
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.843446
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.828872
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.81504
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.806665
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.795371
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788301
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77999
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.771455
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.76664
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.760392
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.752221
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.747702
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.736587
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.73206
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.723725
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.7174
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.709272
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.706114
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.703045
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.699085
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.694461
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.690951
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.688499
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.68634
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.683666
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.680297
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.678528
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.679836
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.681778
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.675519
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.674564
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.673427
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.671737
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.670408
[44]	validation_0-merror:0.25	validation_0-mlogloss:0.667803
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.666622
[46]	validation_0-merror:0.25	validation_0-mlogloss:0.663653
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.659928
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.655378
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.657185
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.658064
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.659364
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.657659
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.658965
Stopping. Best iteration:
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.655378

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06563
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04086
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00986
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.983497
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.957172
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.934186
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.917931
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.901562
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.880887
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.865858
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.855053
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.847446
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.838649
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.829175
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.820004
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.810851
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.807898
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.803139
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.796411
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.792305
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.785319
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.781496
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.776944
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.772921
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.773058
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.768109
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.761528
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.758887
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.754921
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.75183
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.753269
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.753987
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.749859
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.745024
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.746736
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.743178
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.743338
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.745718
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.743482
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.742327
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.741535
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.742184
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.741502
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.741302
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.738565
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.740809
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.739122
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.741888
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.73837
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.742243
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.741021
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.742318
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.744301
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.747663
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.73837

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06861
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.04111
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00945
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.984948
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.961854
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.944849
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.926845
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.912751
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.891799
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.875729
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.862813
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.850782
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.838405
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.830329
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.818491
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.812028
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.807334
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.799279
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789475
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.782387
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.781824
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.777924
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.771173
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.764862
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.756241
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.750037
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.744735
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739907
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.732439
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.724573
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.724025
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.720283
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.714312
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.714626
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.709479
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.70877
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.703388
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.697949
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.695214
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.692607
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.688631
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.688642
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.685829
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.68356
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.684402
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.682554
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.682324
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.681158
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.678907
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.680668
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.67868
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.678609
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.677428
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.678402
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.677635
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.674807
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.672639
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.669004
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.668415
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.66626
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.66761
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.667923
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.670227
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.671958
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.675273
Stopping. Best iteration:
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.66626

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05742
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02405
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995359
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.97231
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.946137
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.920998
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905756
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.895068
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.880691
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.866541
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.853383
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.838263
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.824632
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.811773
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.803055
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.794144
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.784344
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.774508
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.764559
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754889
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.747401
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.74223
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.735325
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.73103
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.727872
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.72302
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.719488
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.715437
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.711733
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.705577
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.702666
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.696891
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.695587
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.69314
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.690449
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.689545
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.686836
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.682858
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.681927
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.680345
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.680663
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.6778
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.676829
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.678161
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.680904
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.678657
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.678121
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.676575
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.676793
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.674214
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.673039
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.675362
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.673214
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.671637
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.671661
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.671134
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.669581
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.66866
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.667681
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.667205
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.66524
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.664338
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.661698
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.661251
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.658665
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.660762
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.660176
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.660903
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.660769
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.660008
Stopping. Best iteration:
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.658665

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06156
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03459
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.01134
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.989289
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.963289
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.937254
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.921792
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.910539
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.895224
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.881902
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.868248
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.853224
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.839826
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.827263
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.818482
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.807932
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.798813
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.791853
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.787146
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.779902
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.774774
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.771804
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.764864
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.759763
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.755854
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.751809
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.748817
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.746696
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.741347
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.738609
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.735479
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.736546
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.733454
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.73293
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.73066
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.731636
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.73312
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.73599
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.732535
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.730223
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.733161
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.733522
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.732725
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.733714
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.735365
Stopping. Best iteration:
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.730223

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.04022
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.0149
[3]	validation_0-merror:0.416667	validation_0-mlogloss:1.00018
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.978736
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.954018
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.939694
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.928203
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.9107
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.89442
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.874744
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.858407
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.843294
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.830995
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.821092
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.816041
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.803162
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.795499
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.788428
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.778314
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.770218
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.765452
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.757915
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.750399
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.742516
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.737416
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.732275
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.728893
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.722892
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.72085
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.720218
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.712964
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.706293
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.702841
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.699134
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.695824
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.692256
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.689031
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.685744
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.684722
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.680277
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.676624
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.676015
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.674168
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.671684
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.667948
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.667889
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.665515
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.664177
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.663221
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.663608
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.661067
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.660019
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.656447
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.654426
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.655068
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.652764
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.650101
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.648555
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.646331
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.643891
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.640808
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.640396
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.642311
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.642609
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.64186
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.640295
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.640682
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.638904
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.639713
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.639069
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.641764
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.643973
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.642599
Stopping. Best iteration:
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.638904

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06182
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00317
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.974913
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.966137
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.942358
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.92699
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.909804
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.88852
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.872456
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.859462
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.845132
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.832947
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.821782
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.811553
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.807414
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.793821
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.781483
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.777673
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.77158
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.76287
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.756496
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.74852
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.743123
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.732311
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.731508
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722531
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.715658
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.709149
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.703302
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.698465
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.692823
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.689706
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.684606
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.681683
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.678552
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.676718
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.672573
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.674704
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.671799
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.674559
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.672399
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.668495
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.66713
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.665925
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.664146
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.664897
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.664123
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.660663
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.662802
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.659841
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.662404
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.663368
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.66519
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.664208
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.662722
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.659841

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06418
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.04058
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00588
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.984957
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.956375
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.936259
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.914463
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.898249
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.878728
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.86381
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.847814
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.835333
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.828122
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.819028
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.813082
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.804873
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.7996
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.791688
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.788633
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.780631
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.776289
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769142
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.768035
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.764278
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.763436
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.76033
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.75837
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.753573
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.7513
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751499
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.75198
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.750148
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.748557
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.744085
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.746997
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.748046
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.744632
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.747452
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.747322
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.744085

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.07077
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04437
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00848
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.991388
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.966534
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.942885
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.925264
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.908223
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.890904
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.876446
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.855347
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.841263
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.828013
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.812635
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.801379
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795476
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.788631
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.782875
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.774172
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.767698
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.761194
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.751938
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.745946
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.737039
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.737531
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.731197
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.72795
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.721806
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.71713
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.713192
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.709589
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704682
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700912
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.701698
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.698478
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.698893
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.692782
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.691454
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.690067
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.687529
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.682673
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.677567
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.680493
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.675836
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.674071
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.670495
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.673443
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.67299
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.672489
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.674022
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.6739
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.670495

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0547
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01957
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.99458
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966839
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.958943
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932493
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.909074
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.891826
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875072
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.857967
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.843932
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.828628
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.816014
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.806734
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.795872
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.790155
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.779588
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771485
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.766112
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.759816
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.750633
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.746152
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.735103
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.730537
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.722148
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.716722
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.711258
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.708172
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.704748
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.701516
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.698423
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.693997
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.690319
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.687088
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.685204
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.681085
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.679034
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.678795
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.680587
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.674442
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.673468
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.672373
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.671953
[43]	validation_0-merror:0.25	validation_0-mlogloss:0.669507
[44]	validation_0-merror:0.25	validation_0-mlogloss:0.666727
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.663346
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.660747
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.657479
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.653784
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.655595
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.655254
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.655782
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.651187
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.652547
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.652222
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.6519
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.651906
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.6497
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.651487
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.648761
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.650571
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.648601
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.649795
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.649981
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.650776
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.652844
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.654859
Stopping. Best iteration:
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.648601

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06219
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03843
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00869
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.981789
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.954191
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.931642
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.915808
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.89986
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.879333
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.865424
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.854567
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.846162
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.83782
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.827722
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.818578
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.809981
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.807173
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.80232
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.795297
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.793336
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.783676
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.777997
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.773415
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.769471
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.769674
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.765609
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.759132
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.75862
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.756875
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.754306
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.75488
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.755076
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.752717
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.747512
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.747554
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.743645
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.741877
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.741756
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.739612
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.741089
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.739784
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.740688
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.740326
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.741003
Stopping. Best iteration:
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.739612

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.07074
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0423
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.01073
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.986024
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.963061
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.942179
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.92446
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.910531
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.894563
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.879321
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.866531
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.855156
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.84193
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.83376
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.821788
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.814803
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.808602
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800806
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.791072
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.781228
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.777578
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.774327
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.7674
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.760548
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.755848
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.749372
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.745445
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739612
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.733079
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.725167
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.724902
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.721999
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.714848
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.714455
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.7095
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.707091
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.70318
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.700113
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.696425
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.695142
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.690527
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.690218
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.689107
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.687165
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.687943
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.684449
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.682403
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.680253
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.678129
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.681888
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.680064
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.678908
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.678344
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.677741
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.679354
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.677069
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.673394
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.673607
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.673016
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.672533
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.669369
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.672026
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.672648
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.673169
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.675976
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.671603
Stopping. Best iteration:
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.669369

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0601
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03035
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00159
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.978521
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.95296
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926278
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.910992
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901739
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.886002
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.871294
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.858212
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.842902
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.827374
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.812115
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.803227
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791717
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.784582
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.774599
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.764164
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.757196
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.74972
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.744465
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.738111
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.733706
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.728376
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.723794
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.722317
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.718551
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.715236
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.709246
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.707071
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.701095
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.698999
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.698085
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.694559
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.694556
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.691673
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.687489
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.688192
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.687414
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.68799
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.68597
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.686021
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.686373
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.688365
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.688713
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.68507
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.685565
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.685246
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.684615
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.683372
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.684294
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.680427
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.67952
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.680573
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.67952
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.676602
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.676122
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.674061
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.673841
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.671433
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.670954
[62]	validation_0-merror:0.316667	validation_0-mlogloss:0.67015
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.669315
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.669408
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.669656
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.668626
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.669063
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.669271
[69]	validation_0-merror:0.3	validation_0-mlogloss:0.668146
[70]	validation_0-merror:0.3	validation_0-mlogloss:0.666823
[71]	validation_0-merror:0.3	validation_0-mlogloss:0.664923
[72]	validation_0-merror:0.3	validation_0-mlogloss:0.663808
[73]	validation_0-merror:0.3	validation_0-mlogloss:0.663929
[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.661846
[75]	validation_0-merror:0.283333	validation_0-mlogloss:0.662272
[76]	validation_0-merror:0.283333	validation_0-mlogloss:0.662306
[77]	validation_0-merror:0.283333	validation_0-mlogloss:0.66305
[78]	validation_0-merror:0.3	validation_0-mlogloss:0.664246
[79]	validation_0-merror:0.283333	validation_0-mlogloss:0.664022
Stopping. Best iteration:
[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.661846

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0648
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0377
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.01477
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.993513
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.968026
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.941617
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.926081
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.91542
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.900326
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.887304
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.873488
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.858669
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.84405
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.829892
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.822269
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.811894
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.802918
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.795905
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.791052
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.784327
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.780106
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.777483
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.770215
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.767866
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.763304
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.760247
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.756693
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.756491
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.753781
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751312
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.750419
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.745397
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.743906
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.743481
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.740843
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.74
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.742704
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.744207
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.74143
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.739828
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.740681
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.741616
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.740395
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.740712
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.738179
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.739516
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.74307
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.742577
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.741918
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.740529
Stopping. Best iteration:
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.738179

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04312
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.01763
[3]	validation_0-merror:0.416667	validation_0-mlogloss:1.00282
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.986041
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.960856
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.946502
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.934973
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.917415
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.901096
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.881324
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.864698
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.849485
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.836998
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.827815
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.820748
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.808445
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.799403
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.79357
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.784548
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.776526
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.771608
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.76406
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.756345
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74845
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.744342
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740879
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.736414
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.731663
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.724952
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.725413
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.720236
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.716777
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.712359
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.709123
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.705713
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.701953
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.698718
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.695529
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.693026
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.688586
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.685801
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.683018
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.681168
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.681233
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.679258
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.67856
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.676063
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.675403
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.674776
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.671918
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.670582
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.670806
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.671243
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.675376
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.678479
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.676484
Stopping. Best iteration:
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.670582

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05485
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0265
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.9992
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.970148
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.961227
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.938107
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.92276
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.906327
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.884894
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.866937
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.852783
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.838433
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.826311
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.81429
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.804166
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.800159
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.788104
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.775835
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.77234
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766859
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.760664
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.75399
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.749269
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.744642
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.733164
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.731672
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.721298
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.715574
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709091
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.706128
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.700893
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.696478
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.694195
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.692331
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.690445
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.686648
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.683654
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.684023
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.687591
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.683948
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.686529
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.685976
Stopping. Best iteration:
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.683654

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06397
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.04031
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.007
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.984669
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.956879
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.936502
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.916002
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.898781
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.878871
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.861852
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.845744
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833852
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.827102
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.816218
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811533
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.80252
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.797346
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.790902
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.786669
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.778459
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.774455
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.767995
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.766833
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.762866
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.761862
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.759574
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.756716
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.752468
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.749557
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.747167
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746591
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.743065
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.74209
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.741274
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.744479
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.742667
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.739091
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.741303
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.741628
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.742179
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.741509
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.73682
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.737426
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.735759
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.737401
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.73307
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.733573
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.729828
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.728768
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.729335
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.727704
[51]	validation_0-merror:0.366667	validation_0-mlogloss:0.730125
[52]	validation_0-merror:0.366667	validation_0-mlogloss:0.731678
[53]	validation_0-merror:0.366667	validation_0-mlogloss:0.733837
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.741164
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.738093
Stopping. Best iteration:
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.727704

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.07103
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0439
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00798
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.990744
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.965937
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.942211
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.924833
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.907806
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.8898
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.874455
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.853566
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.839845
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.824976
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.809485
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.798298
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.79367
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.786259
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.781375
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.774458
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.769771
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.766164
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.757683
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.755763
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.749977
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.751096
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.747302
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.741502
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.73516
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.730712
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.726543
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.726029
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.720129
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.716206
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.715785
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.712241
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.710719
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.705584
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.702731
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.700882
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.69767
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.692487
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.688548
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.690621
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.687124
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.683104
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.679922
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.680654
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.681506
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.679459
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.68102
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.676575
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.674683
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.670104
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.668666
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.673265
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.671657
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.673386
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.672225
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.670491
Stopping. Best iteration:
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.668666

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05462
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.02132
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.99444
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966787
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.958751
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.932246
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.910637
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.892603
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.875521
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.858744
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.844226
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.829109
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.817841
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.810153
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.798443
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.7921
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.781123
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.77162
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.764859
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759856
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.751109
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.7465
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.734615
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.728522
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.719392
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.713739
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.7071
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.70486
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.701338
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.700536
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.698209
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.694778
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.688833
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.685516
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.683423
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.678924
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.676351
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.675982
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.677679
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.671134
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.670875
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.670526
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.670372
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.668954
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.666138
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.665534
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.665201
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.664069
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.661614
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.663134
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.662651
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.664749
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.662896
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.666701
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.661614

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06212
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03714
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00786
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.980917
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.954327
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932207
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.915898
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.899902
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.87903
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.865049
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853739
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.844295
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.836291
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.827291
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.819025
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.808841
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.805597
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.799846
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.792876
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.789439
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.779792
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.774712
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.770334
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.766505
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.767658
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.762999
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.756633
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.756776
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.751834
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.746982
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.745908
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.745795
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.743238
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.745146
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.744728
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.740732
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.739345
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.739346
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.737486
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.737819
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.736568
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.737505
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.737186
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.738377
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.736457
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.738398
[46]	validation_0-merror:0.383333	validation_0-mlogloss:0.737187
[47]	validation_0-merror:0.383333	validation_0-mlogloss:0.738857
[48]	validation_0-merror:0.383333	validation_0-mlogloss:0.737215
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.739247
Stopping. Best iteration:
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.736457

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06886
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.04033
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00795
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.983324
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.961241
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.945325
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.927513
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.91379
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.898021
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.87927
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.867064
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.854769
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.841737
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.833762
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.82192
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.815
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.810284
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.802232
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.793179
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.785555
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.781996
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.778764
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.771815
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.76546
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.763183
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.755903
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.752037
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.746629
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.739634
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.735069
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.737406
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.73355
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.726505
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.729037
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.722274
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.719496
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.716637
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.712491
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.709427
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.708799
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.704186
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.703806
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.703191
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.704711
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.706079
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.702138
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.700295
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.699016
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.699485
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.703259
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.699225
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.700176
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.697782
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.698685
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.700649
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.699109
[56]	validation_0-merror:0.333333	validation_0-mlogloss:0.694336
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.69101
[58]	validation_0-merror:0.333333	validation_0-mlogloss:0.690751
[59]	validation_0-merror:0.333333	validation_0-mlogloss:0.690464
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.689541
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.691315
[62]	validation_0-merror:0.316667	validation_0-mlogloss:0.694147
[63]	validation_0-merror:0.316667	validation_0-mlogloss:0.694952
[64]	validation_0-merror:0.316667	validation_0-mlogloss:0.695285
[65]	validation_0-merror:0.316667	validation_0-mlogloss:0.692448
Stopping. Best iteration:
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.689541

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05904
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02915
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00026
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.977676
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.952623
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925844
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.910619
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.900814
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.885092
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.870469
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.857329
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.840931
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.826811
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.81419
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.805377
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795274
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.786142
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.776102
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.765528
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.758198
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.751276
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.745544
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741558
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.735663
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.731771
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.72579
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.722231
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.717428
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.716491
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712384
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.708831
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.707722
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.707078
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.703853
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.701902
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.70182
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.699532
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.693125
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.693892
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.691865
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.693309
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.692054
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.691688
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.689183
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.691314
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.69185
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.687509
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.689495
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.690311
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.687707
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.686313
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.688663
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.688258
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.688355
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.686465
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.685663
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.683059
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.68033
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.678956
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.68005
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.678004
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.677889
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.677572
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.678349
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.675695
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.677505
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.677706
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.677036
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.675223
[69]	validation_0-merror:0.3	validation_0-mlogloss:0.677626
[70]	validation_0-merror:0.3	validation_0-mlogloss:0.677511
[71]	validation_0-merror:0.3	validation_0-mlogloss:0.677329
[72]	validation_0-merror:0.3	validation_0-mlogloss:0.674654
[73]	validation_0-merror:0.3	validation_0-mlogloss:0.674412
[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.673964
[75]	validation_0-merror:0.283333	validation_0-mlogloss:0.674306
[76]	validation_0-merror:0.283333	validation_0-mlogloss:0.675582
[77]	validation_0-merror:0.283333	validation_0-mlogloss:0.676467
[78]	validation_0-merror:0.283333	validation_0-mlogloss:0.677075
[79]	validation_0-merror:0.283333	validation_0-mlogloss:0.676351
Stopping. Best iteration:
[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.673964

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06302
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03594
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.01207
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.991244
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.96499
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.938947
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.923896
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.913493
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.898364
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.884222
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.870328
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.854924
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.840289
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.827044
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.819386
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.80932
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.79992
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.793945
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.787885
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.78094
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.776887
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.774652
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.768037
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.764937
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.761533
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.758435
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.755084
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.754116
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.750188
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.747849
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746726
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.747983
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.744576
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.743471
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.7405
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.74004
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.742465
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.742392
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.741742
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.741234
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.737547
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.736615
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.735465
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.735423
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.735267
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.736414
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.736826
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.734816
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.737122
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.736008
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.737203
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.739663
[52]	validation_0-merror:0.35	validation_0-mlogloss:0.740562
Stopping. Best iteration:
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.734816

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04312
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.01763
[3]	validation_0-merror:0.416667	validation_0-mlogloss:1.00282
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.984833
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.959738
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.945415
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.934464
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.917267
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.899559
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.879882
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.863467
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.84838
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.835863
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.826701
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.821736
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.809192
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.799597
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792978
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.783854
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.775842
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.770675
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.765537
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.758283
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.749819
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.74652
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741046
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.735671
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.730933
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.72866
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.723033
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.71746
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.714654
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.71072
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.706171
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.699648
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.695686
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.695913
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.693125
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.690672
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.685765
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.683208
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.68176
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.67861
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.676463
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.674088
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.67319
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.67174
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.672837
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.671176
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.66778
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.664555
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.66309
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.660565
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.661727
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.664212
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.663737
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.662022
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.661429
Stopping. Best iteration:
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.660565

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.05765
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02269
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.996343
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.961671
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.952641
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.927536
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.907288
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.893221
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.875187
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.85659
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.844318
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.834422
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.81977
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.811098
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.805373
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.805208
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.792093
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.781631
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.77451
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.768718
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.756595
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745323
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.73729
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.729128
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723368
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.723259
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.712221
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.709513
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.705815
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.699713
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.691298
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.687144
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.683259
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.67792
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.677385
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.67463
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.671226
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.664364
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.666628
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.663239
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.666197
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.667356
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.665534
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.664598
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.66344
Stopping. Best iteration:
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.663239

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06042
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03499
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.996426
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.970029
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.936765
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.915214
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.893441
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.875768
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858232
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.844235
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.829906
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818925
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.8146
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.806499
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.800007
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.789344
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.787762
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.786565
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.785315
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.77721
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.778735
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.772627
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.772678
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.769584
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.772713
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.770761
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.766796
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.763403
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.757703
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.755473
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.752589
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.750975
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.752966
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.753229
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.759203
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.755839
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.751217
Stopping. Best iteration:
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.750975

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05861
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.03387
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.989964
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.967443
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.931704
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.910118
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.899654
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887066
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.867912
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.853037
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834516
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.824267
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809567
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.794998
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.778318
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.770551
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.762351
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.760097
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.750616
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.741934
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.741954
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.739468
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736362
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.728701
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.727398
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.72398
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.715738
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.70937
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.707281
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.702199
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.700115
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.700262
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.701363
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.704421
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.706807
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.71216
Stopping. Best iteration:
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.700115

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04842
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01089
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.977508
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.95184
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.947362
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916723
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.896587
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.883229
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.86473
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846002
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.82999
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.81837
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.804318
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.790116
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.779916
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.775558
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.766496
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.75919
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.753373
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.748904
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.740025
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.734886
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.723524
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.71906
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.709498
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.706701
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.698279
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.698727
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.696089
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.692304
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.687661
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.685206
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.678976
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.674934
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.673484
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.67219
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.670702
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.673654
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.678078
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.678894
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.678085
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.676793
Stopping. Best iteration:
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.670702

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0331
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.998093
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.964857
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.939225
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918549
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.900264
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.882929
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.861988
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.849822
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.839148
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.827921
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.821545
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.810991
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.803802
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.793841
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.79463
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.788279
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.783289
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.780418
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.775525
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.773156
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.768241
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.765402
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.77056
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.768472
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.767232
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.767622
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.769544
Stopping. Best iteration:
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.765402

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06045
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02465
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.991774
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.974789
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.951091
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.937305
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.914545
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.904729
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.887307
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.870714
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.858889
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.846831
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.831026
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.819434
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.805166
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.798593
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.794106
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.789611
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.780784
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.774396
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.772562
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.768494
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.768023
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.760242
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.754924
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.750702
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.743877
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.743555
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.738974
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.733837
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.730849
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.730419
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.726337
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.723918
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.722504
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.722221
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.722724
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.722563
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.721549
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.721011
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.721553
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.719059
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.718098
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.716201
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.722977
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.723284
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.718578
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.717916
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.720695
Stopping. Best iteration:
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.716201

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05163
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01432
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.982218
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957862
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.924348
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.897644
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.879584
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868185
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.853472
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.839924
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.829872
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.813041
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.793281
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.777323
[14]	validation_0-merror:0.233333	validation_0-mlogloss:0.767008
[15]	validation_0-merror:0.233333	validation_0-mlogloss:0.759525
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.75076
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.743988
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.733581
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.722625
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.716993
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.712888
[22]	validation_0-merror:0.233333	validation_0-mlogloss:0.709091
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.704657
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.700971
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.695228
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.693829
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.689793
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.684851
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.682196
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.677238
[31]	validation_0-merror:0.216667	validation_0-mlogloss:0.672186
[32]	validation_0-merror:0.216667	validation_0-mlogloss:0.667522
[33]	validation_0-merror:0.216667	validation_0-mlogloss:0.664074
[34]	validation_0-merror:0.216667	validation_0-mlogloss:0.66086
[35]	validation_0-merror:0.216667	validation_0-mlogloss:0.659925
[36]	validation_0-merror:0.216667	validation_0-mlogloss:0.659154
[37]	validation_0-merror:0.233333	validation_0-mlogloss:0.659346
[38]	validation_0-merror:0.233333	validation_0-mlogloss:0.655342
[39]	validation_0-merror:0.233333	validation_0-mlogloss:0.65632
[40]	validation_0-merror:0.233333	validation_0-mlogloss:0.655759
[41]	validation_0-merror:0.233333	validation_0-mlogloss:0.655921
[42]	validation_0-merror:0.233333	validation_0-mlogloss:0.6543
[43]	validation_0-merror:0.233333	validation_0-mlogloss:0.655028
[44]	validation_0-merror:0.233333	validation_0-mlogloss:0.653499
[45]	validation_0-merror:0.233333	validation_0-mlogloss:0.653601
[46]	validation_0-merror:0.233333	validation_0-mlogloss:0.6537
[47]	validation_0-merror:0.233333	validation_0-mlogloss:0.651018
[48]	validation_0-merror:0.233333	validation_0-mlogloss:0.648594
[49]	validation_0-merror:0.233333	validation_0-mlogloss:0.644682
[50]	validation_0-merror:0.233333	validation_0-mlogloss:0.643515
[51]	validation_0-merror:0.233333	validation_0-mlogloss:0.643286
[52]	validation_0-merror:0.25	validation_0-mlogloss:0.641809
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.64296
[54]	validation_0-merror:0.25	validation_0-mlogloss:0.6433
[55]	validation_0-merror:0.25	validation_0-mlogloss:0.645492
[56]	validation_0-merror:0.25	validation_0-mlogloss:0.642458
[57]	validation_0-merror:0.25	validation_0-mlogloss:0.642468
Stopping. Best iteration:
[52]	validation_0-merror:0.25	validation_0-mlogloss:0.641809

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05782
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03276
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.0046
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.98414
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.952524
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.927828
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.914494
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.905284
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.891871
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.878463
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.866014
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.850949
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.835015
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.822782
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.817782
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.810372
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.805148
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.798192
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.798286
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.790044
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.789357
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.787641
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.78681
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.783294
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.784072
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.783211
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.78609
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.786212
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.786195
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.786231
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.792446
Stopping. Best iteration:
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.783211

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06454
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03179
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.996463
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976894
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.948913
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922323
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.901971
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.889554
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.868847
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.850527
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.835491
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.828205
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80847
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.791409
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.78742
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.776978
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765067
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.759203
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.75444
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.746218
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.737737
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.735063
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.731762
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.721957
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.714551
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.709482
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.711776
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.707055
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.700559
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.698668
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.699793
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.703987
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.702217
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.700967
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.696062
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.69409
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.699599
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.703806
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.701101
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.700578
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.696291
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.69409

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.05515
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.0211
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.99704
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.968163
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.958526
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.936565
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.918143
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.900186
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.884345
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.86557
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.855839
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.845235
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.835032
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.82665
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.818914
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.816426
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.804376
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.790893
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.784974
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.779368
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.770023
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.759493
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.752564
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.746531
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.736869
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.735561
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.726555
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.722541
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.716053
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.709422
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.700367
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.695256
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.691311
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.687881
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.687621
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.68344
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.680399
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.67714
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.677905
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.676746
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.67837
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.676934
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.673136
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.672403
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.67251
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.67193
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.672359
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.66963
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.669992
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.672184
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.670601
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.672044
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.673487
Stopping. Best iteration:
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.66963

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05957
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.03633
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00082
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.974333
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.940394
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.919183
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.895558
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.878654
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.860268
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.843616
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828793
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814364
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.80954
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.799441
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.791432
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.77852
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.776432
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.773317
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.771532
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.768136
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.766602
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.763031
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.760039
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.758486
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.760082
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.757829
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.754599
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.754355
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.756624
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.753671
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.755303
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.753517
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.754061
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.753399
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.754685
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.760386
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.758366
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.757279
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.755741
Stopping. Best iteration:
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.753399

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06003
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03213
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.9926
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.977339
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.946763
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.925018
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.906662
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.894522
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.8757
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.865569
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.846331
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.839201
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.825019
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.809544
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79271
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788986
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780229
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.775489
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.765645
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.756447
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.75504
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.751993
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.750849
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.743517
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.741397
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.737681
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.72976
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.724719
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.71882
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.714901
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.713909
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.709932
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.710427
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.711426
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.711141
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.714803
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.711633
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.709932

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.04961
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01148
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.979144
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.949379
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.944956
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.914651
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.894781
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.878117
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.859397
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.840951
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.8246
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.812662
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.799874
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.790745
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.783081
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.778384
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.767669
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.757286
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.752789
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.747334
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.73791
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.733467
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.723535
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.718006
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.709408
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.707572
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.699666
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.699755
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.694618
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69264
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.688743
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.683202
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.678115
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.674557
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.671273
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.668779
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.670497
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.671448
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.675752
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.672384
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.672358
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.668779

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06417
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02881
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.997181
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962912
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.935483
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916706
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.898292
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.883129
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.863656
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.849503
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.838202
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.829935
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.821067
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809788
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.802676
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.795099
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.794706
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.789711
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.785276
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.785552
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.781772
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.781342
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.774522
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.768267
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.769829
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.76685
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.762642
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.759548
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.76081
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.757005
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.756554
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.760062
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.758419
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.756691
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.756126
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.75851
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.76136
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.764329
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.766361
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.767162
Stopping. Best iteration:
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.756126

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06085
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02955
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.99683
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.975814
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.942557
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.924182
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.904195
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.891619
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.872348
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.86068
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.850917
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.838593
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.822241
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.811316
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.797123
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.791287
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.786279
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.778957
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.771919
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.762326
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.760889
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.759079
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.756469
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.748913
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.742928
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.739164
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.736233
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.732092
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.727677
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.722963
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.722739
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.721958
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.717549
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.721306
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.717711
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.720756
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.719118
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.716256
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.712484
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.712822
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.711205
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.710522
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.70855
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.710525
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.71608
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.715663
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.713122
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.710813
Stopping. Best iteration:
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.70855

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05431
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02123
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.988137
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962629
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.930843
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.90286
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.884231
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.87263
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.85765
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.8451
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.834496
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.81968
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.800124
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.784038
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.773259
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.766634
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.756243
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.74622
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.73706
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.731367
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.725795
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.72147
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.716529
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.712315
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.708288
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.702093
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.698054
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.694488
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.691062
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.687848
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.681452
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.678252
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.672278
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.667246
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.664873
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.665386
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.666456
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.666872
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.667801
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.667937
Stopping. Best iteration:
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.664873

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05466
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02825
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.996756
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.975941
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.949124
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.926775
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.91165
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.901421
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.888321
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.878122
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.864065
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.845756
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.830164
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.818974
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.812076
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.802386
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.792522
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.787753
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.784419
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.778054
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.776311
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.774777
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.772504
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.77059
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.770052
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.767423
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.770081
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.770556
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.7716
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.772675
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.775793
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.767423

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06223
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03286
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.0006
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982612
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957925
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.930698
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.911812
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.895619
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.874866
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.857674
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.841593
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.825107
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.804995
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.792563
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.787566
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.776287
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.765876
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.7582
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.752455
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.744372
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.739878
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.738772
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.734275
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.726148
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.719345
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.714552
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.712614
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.707235
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.702787
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.700565
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.701184
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.699933
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.694646
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.693596
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.690855
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.688142
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.693306
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.696103
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.692996
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.693241
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.69196
Stopping. Best iteration:
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.688142

[0]	validation_0-merror:0.533333	validation_0-mlogloss:1.05945
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02968
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00214
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.974151
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.963893
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.939574
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.922585
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.905578
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.890767
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.871743
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.859854
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.848215
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.836386
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.825972
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.820284
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818858
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.80645
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.794131
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.78964
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.784645
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.772233
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.764129
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.7569
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.748522
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.73996
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.738222
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.728888
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.721421
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.717028
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.713124
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.707832
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.702642
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.701419
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.698704
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.697277
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.694353
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.696424
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.694115
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.694232
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.690729
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.692035
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.691588
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.689705
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.685822
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.685565
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.684523
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.683127
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.678773
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.679321
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.681577
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.678421
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.680435
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.681839
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.681678
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.682057
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.681611
Stopping. Best iteration:
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.678421

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05987
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03434
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.996976
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.972979
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939993
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.918951
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.898903
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.882391
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.86166
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.844086
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.827456
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.815477
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.808116
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.797908
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.789814
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.779339
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.773712
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.770427
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.76633
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.763119
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.760897
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.756303
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.755068
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.753116
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.754499
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.754
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.751263
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.746634
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.746455
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.745666
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746879
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.744685
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.741881
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.739864
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.744206
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.749484
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.744443
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.748405
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.748937
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.739864

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06833
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03982
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.0015
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.979293
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.951841
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.928152
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.909439
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.895577
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.877837
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.863704
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.844361
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.835869
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.823195
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808391
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.796868
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.793793
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.787336
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.782525
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.77541
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766167
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.761069
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.754799
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.750765
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.74346
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.74128
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.737848
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.732555
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.727259
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.723126
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.718532
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.714968
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.712187
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.707997
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.708152
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707331
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.70992
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.706361
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.705881
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.702791
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.701682
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.696567
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.692858
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.694184
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.69013
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.690291
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.689851
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.688433
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.689561
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.69248
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.692719
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.690683
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.689502
Stopping. Best iteration:
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.688433

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05263
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01377
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.987559
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.958552
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.951186
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.919705
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.899029
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.882272
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.863366
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.844734
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.83003
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.817422
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80441
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79716
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.785651
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.78131
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.770666
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.759789
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.754922
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.752096
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.741573
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.736601
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.728311
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.722344
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.712328
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.710504
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.703997
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.703536
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.697835
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.696952
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.693163
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.68554
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.680765
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.679355
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.676948
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.673654
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.672715
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.673669
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.676853
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.672972
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.672159
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.664903
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.66338
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.660329
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.658406
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.657104
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.655421
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.654701
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.652771
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.654921
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.656192
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.656978
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.657909
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.661874
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.652771

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0642
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03367
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00091
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.968002
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940066
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918975
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.902891
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.887519
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.86391
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.850944
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.840922
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.830796
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.820683
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.81228
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.808833
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.799855
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.796813
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.793344
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.790918
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.790197
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.786348
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.784178
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.77942
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.774267
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.775203
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.773963
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.771306
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.768422
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.772398
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.768732
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.769993
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.772816
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.771196
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.768422

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.06201
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03428
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00276
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.974952
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.942955
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.921263
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.902678
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.887068
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.868657
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.855424
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.84273
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.82959
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.815708
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.802696
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.789528
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.783248
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.780206
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.775647
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.768459
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.760234
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.759212
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.757138
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.753323
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.744319
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.73647
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.73283
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.731083
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.726507
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.721663
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.714951
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.714113
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.712352
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.708039
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.71191
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.709306
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.709901
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.70921
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.709419
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.708039

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05466
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02068
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990316
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962893
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934558
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908083
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.889604
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.878026
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.862605
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.84926
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.839444
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.819825
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.802365
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.789181
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.778506
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.770421
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.76373
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.753779
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.745429
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.737401
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.732626
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.728854
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.722306
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.720792
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.718614
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.711496
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.702737
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.698773
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.69792
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.692697
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.690102
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.68555
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.681993
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.677922
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.676785
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.678205
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.677787
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.677309
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.67652
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.673725
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.675093
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.67429
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.675555
[43]	validation_0-merror:0.25	validation_0-mlogloss:0.676662
[44]	validation_0-merror:0.25	validation_0-mlogloss:0.67691
Stopping. Best iteration:
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.673725

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0556
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02476
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.992998
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.970761
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.942362
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.919305
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.902205
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.891507
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.879728
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.868818
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.857379
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.844603
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.83149
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.819219
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.812435
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.808499
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.800727
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.796346
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.789902
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.785585
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.782263
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.779434
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.776044
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.772269
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.771709
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.770226
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.770774
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.770531
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.771457
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.772529
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.77403
Stopping. Best iteration:
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.770226

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06775
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03876
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00583
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.987398
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.965679
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.939324
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.921784
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.906096
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.886861
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.871052
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853115
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.837613
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.820128
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.807827
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.799797
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788813
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.774306
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.765967
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.760579
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.751497
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.745561
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.742099
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.737061
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.730083
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.722884
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.720411
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.717161
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.713769
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709907
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.708293
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.710105
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.709497
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.703413
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.701091
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.696484
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.694379
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.697518
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.700828
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.697229
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.695832
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.693446
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.691005
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.691079
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.690594
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.690939
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.688636
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.692356
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.694745
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.697983
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.698955
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.7052
Stopping. Best iteration:
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.688636

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06128
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00019
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.973054
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.964074
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.936979
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.917893
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.899151
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.88323
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.866503
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.854645
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.838807
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.827039
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815486
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.809377
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.807985
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.797137
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.785286
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.78035
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.774335
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.763474
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.756243
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.749115
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.744762
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.73434
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.734112
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.728188
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.725212
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.719159
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.715161
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.709509
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706903
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.707232
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.706345
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.707757
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.704556
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.705888
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.702016
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.70293
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.700801
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.701381
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.702163
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.699771
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.696825
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.696699
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.694322
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.696158
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.692493
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.691509
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.69462
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.692739
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.695223
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.696172
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.698152
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.691509

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04392
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00753
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.980985
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.946818
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.926402
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.906654
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.888079
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.86904
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.852513
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.83587
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.826225
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.819699
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.810246
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.801651
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.793523
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.787383
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.782464
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.778924
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.772397
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.765964
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.75919
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.757811
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.755032
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.754809
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.751981
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.750667
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.747075
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.745704
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.744167
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746793
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.744193
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.741852
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.740663
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.74273
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.744653
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.739603
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.744666
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.744331
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.74152
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.737847
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.734235
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.733874
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.732632
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.734825
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.733946
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.734676
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.734391
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.738728
Stopping. Best iteration:
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.732632

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04078
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00256
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981399
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.955974
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.934347
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.913107
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.899375
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.883185
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.86935
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.848184
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.836786
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.824207
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.810234
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.798499
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797287
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.790586
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.784091
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.771538
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.767071
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759515
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.751041
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.748012
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.737638
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.736979
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.732475
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.727227
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.720028
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.719247
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.71388
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.709333
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.703272
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.702557
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.702858
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.700121
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.699606
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.694897
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.694537
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.692903
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.689153
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.683376
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.681223
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.682541
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.678591
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.677342
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.67365
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.674781
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.674997
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.67645
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.677559
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.677468
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.67365

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05034
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01098
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.987947
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.960089
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.953188
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.922304
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.900557
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.881398
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.865688
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847473
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.83305
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818497
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.805473
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.795905
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.787253
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78387
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774165
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.762889
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.756318
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.75008
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.73962
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.734208
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.722656
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.717729
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.708904
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.708036
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.701372
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.700421
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.695729
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.692558
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.689468
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.682131
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.677756
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.675194
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.673414
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.667561
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.665891
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.664438
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.667503
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.65944
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.660778
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.65554
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.656624
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.654999
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.653456
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.651033
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.649433
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.648583
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.647229
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.64867
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.648947
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.649646
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.647253
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.649783
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.647229

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0632
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03028
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.999634
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.968397
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938517
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.919962
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.904745
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.886527
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.863189
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.849008
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.838965
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829506
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.820626
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.813322
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.807398
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.799836
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.797547
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.791589
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785724
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.785648
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.779062
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.775556
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.770575
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.766713
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.768581
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.765814
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.761487
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.759553
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.761887
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.760183
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.761636
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.766186
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.765309
Stopping. Best iteration:
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.759553

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06684
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0356
[2]	validation_0-merror:0.283333	validation_0-mlogloss:1.00195
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.973848
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.944947
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.92275
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.904713
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.889941
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.870434
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.856337
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.843152
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.83089
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.815697
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.802712
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.793802
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.788129
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.783823
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.776777
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.769652
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.761495
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.758985
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.757676
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.751375
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.742775
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.740659
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.735969
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.736153
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.731598
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.729636
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.724218
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.723804
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.718608
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.714635
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.717259
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.714123
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.716797
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.715456
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.713889
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.711083
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.711333
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.706919
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.706394
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.706366
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.708316
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.712015
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.708634
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.704272
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.703361
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.705276
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.710033
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.708154
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.708675
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.707
Stopping. Best iteration:
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.703361

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05811
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02351
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992297
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.965919
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.937555
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.912339
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.894635
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.884305
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.867977
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.853988
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.839866
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.824835
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.804091
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.795399
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.7869
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.778435
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.771783
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.761206
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.751527
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.742018
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.737926
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.734469
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.729413
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.728465
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723069
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.71842
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.713237
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.707978
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.707062
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.700515
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.695816
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.691739
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.687451
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.683882
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.681783
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.682367
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.68046
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.678819
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.678134
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.676917
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.678665
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.678888
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.676866
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.677189
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.679471
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.678679
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.67939
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.67998
Stopping. Best iteration:
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.676866

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0566
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02727
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998034
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.977259
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.94615
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.923932
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.910274
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901793
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.894335
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.883453
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.871311
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.860856
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.846462
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.834801
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.827673
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.823602
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.814618
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.810625
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.808379
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.804621
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.797758
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.795522
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.791215
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.788053
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.785488
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.782026
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.784845
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.785006
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.782315
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.781396
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.782037
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.782564
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.780443
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.782505
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.782475
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.781148
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.782308
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.783443
Stopping. Best iteration:
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.780443

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06191
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03032
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998816
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.979399
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955755
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.929495
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.915039
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.902924
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.884843
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.870703
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.852373
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.834545
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.815148
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.803463
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.795601
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789566
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.776305
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.765522
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.758908
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.749832
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.745656
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.742965
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.736261
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.725445
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.716418
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.710391
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.704708
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.700176
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.691673
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.689825
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.688244
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.690846
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.688754
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.684362
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.679737
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.677711
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.678422
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.680949
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.680067
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.679213
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.677099
[41]	validation_0-merror:0.233333	validation_0-mlogloss:0.677559
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.675703
[43]	validation_0-merror:0.25	validation_0-mlogloss:0.678217
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.678153
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.676478
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.676878
[47]	validation_0-merror:0.25	validation_0-mlogloss:0.676423
Stopping. Best iteration:
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.675703

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02768
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.998338
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.971385
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.96248
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.938662
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.920155
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.902761
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.88585
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.864806
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.850942
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.835405
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.822335
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809198
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.799328
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.797115
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.784558
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772572
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.766475
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.761247
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.750977
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.743787
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.739984
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.735239
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.724204
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.723653
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.716653
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.714157
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.707945
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.706991
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.704221
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.699879
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.698481
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.695409
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.694747
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.690482
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.690894
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.693284
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.696405
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.693623
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.696237
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.690482

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06375
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0409
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00266
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.977101
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.94361
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.925889
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.908199
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.890338
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.874052
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.85753
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.840377
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.825773
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.819021
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.809116
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.802741
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.796468
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.791285
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.783027
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.77882
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.771011
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767029
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.761421
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.761094
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.759206
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.758096
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.756453
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.755859
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.75361
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.749084
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.747341
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.747482
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.743854
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.742322
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.742029
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.744567
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.743763
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.741539
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.741012
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.741571
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.741461
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.739493
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.735881
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.736449
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.735432
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.737798
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.735941
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.736163
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.732794
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.734077
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.734305
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.730091
[51]	validation_0-merror:0.366667	validation_0-mlogloss:0.731278
[52]	validation_0-merror:0.366667	validation_0-mlogloss:0.730379
[53]	validation_0-merror:0.366667	validation_0-mlogloss:0.731389
[54]	validation_0-merror:0.366667	validation_0-mlogloss:0.738549
[55]	validation_0-merror:0.366667	validation_0-mlogloss:0.73895
Stopping. Best iteration:
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.730091

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06523
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03589
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.99734
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976211
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.953514
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.928165
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.911862
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.898328
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.879726
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.868263
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849072
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.835712
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.824208
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.809857
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798897
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.796671
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.791245
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.78634
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.7795
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.773589
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.768006
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.763187
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.76258
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.756402
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.755909
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.752414
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.747906
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739944
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.737998
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.733709
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.732782
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.729435
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.728807
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.727916
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.725919
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.724377
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.718639
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.719371
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.716367
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.713893
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.70779
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.705818
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.706906
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.702938
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.698446
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.693007
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.693502
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.694225
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.692892
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.69345
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.690132
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.688523
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.684737
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.685284
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.690584
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.689159
[56]	validation_0-merror:0.333333	validation_0-mlogloss:0.689618
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.691062
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.684737

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05087
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01294
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.9861
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957694
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.951179
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.924555
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.906695
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887521
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.870254
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.850946
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.836604
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823352
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.809268
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798668
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790355
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.785956
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775968
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.764415
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759801
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.754668
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.745975
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.741747
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.729448
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.721631
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.712518
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.709866
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.703447
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.703631
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.701002
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.699122
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.695902
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.690658
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.687567
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.685615
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.684707
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.678747
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.676482
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.673256
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.675515
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.673479
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.675408
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.671376
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.671493
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.67062
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.66871
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.665856
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.66563
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.664944
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.663329
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.659998
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.660731
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.663341
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.66263
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.665615
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.667639
Stopping. Best iteration:
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.659998

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06325
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02888
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.997996
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.967603
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.93977
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.922341
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.907012
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.892459
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.870763
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.854577
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.841841
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.830189
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.824686
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.814748
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.808842
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.800856
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.797482
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.790936
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785667
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.781734
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.778145
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.772675
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.76806
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.764515
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.765917
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.763284
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.758898
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.754489
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.752486
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.748326
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.749964
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.7506
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.748571
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.749793
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.749625
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.748326

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0372
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00673
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.979275
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.958329
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.935537
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.915749
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.902743
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.885724
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.867839
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.855025
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.843
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.830311
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.818872
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.809347
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.803361
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.798249
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.790677
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.784668
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.775057
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.772814
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.769857
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.764097
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.75758
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.757871
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.751056
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.751142
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.744914
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.74195
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.738392
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.739819
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.733461
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.728558
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.73045
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.72646
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.727413
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.726573
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.725975
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.724508
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.724628
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.719226
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.718851
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.719463
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.719292
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.720679
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.717694
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.712933
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.712361
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.71265
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.716891
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.711654
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.713221
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.711441
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.710761
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.714811
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.713966
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.711836
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.708774
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.708417
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.708813
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.712385
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.71552
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.719394
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.721196
Stopping. Best iteration:
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.708417

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05698
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02313
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.991636
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965594
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.937782
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.912299
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.893831
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.882221
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.86337
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.849104
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.83541
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.816867
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.798306
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.784551
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.776242
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.766808
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.758166
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.749491
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.738914
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.730503
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.725736
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.722977
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.716968
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.71041
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.705425
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.69759
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.696049
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.691339
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.689837
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.684565
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.679986
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.676716
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.671678
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.66947
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.670739
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.671578
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.671678
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.669955
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.670379
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.66947

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06024
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03112
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.999648
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.982325
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.951863
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.929258
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.915485
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.906279
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.897229
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.88489
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.872227
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.861034
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.847435
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.836348
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.828668
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.821021
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.813021
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.808414
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.802282
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.798131
[20]	validation_0-merror:0.416667	validation_0-mlogloss:0.794447
[21]	validation_0-merror:0.416667	validation_0-mlogloss:0.792568
[22]	validation_0-merror:0.416667	validation_0-mlogloss:0.788688
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.78544
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.782751
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.780016
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.781137
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.779638
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.778109
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.776914
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.77963
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.778398
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.778335
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.777618
[34]	validation_0-merror:0.416667	validation_0-mlogloss:0.777026
Stopping. Best iteration:
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.776914

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06516
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03183
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00109
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.981162
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.956488
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.927183
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.911045
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900051
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.87963
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.864406
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.846086
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.829021
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808902
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.795354
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.787415
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.779752
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.766633
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.757273
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.751193
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.742534
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.737808
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.73254
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.725358
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.717529
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.711771
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.707467
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.705814
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.701222
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.697083
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.69316
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.693923
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.695361
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.693592
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.692277
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.690864
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.691975
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.69066
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.690062
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.688111
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.68391
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.681467
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.681032
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.678471
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.675804
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.675789
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676764
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.677828
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.676887
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.675755
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.675183
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.677295
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.679024
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.677585
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.678054
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.678708
Stopping. Best iteration:
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.675183

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05669
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02016
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.991892
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.95749
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.950618
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.925183
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.905937
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.890382
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.876009
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.854234
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.844013
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.830354
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.81808
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.807838
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.801758
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.803352
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.788417
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.779233
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.772639
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.766203
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.758765
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.748561
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740233
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.732151
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.726193
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.724836
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.71442
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.710886
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.706644
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.70041
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.693011
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.690896
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.688463
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.687425
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.686339
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.683043
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.680637
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.673922
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.674795
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.672589
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.677147
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.678573
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.677328
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.677531
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.675814
Stopping. Best iteration:
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.672589

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06024
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03479
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.998026
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.972876
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.937023
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.915024
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.893397
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.877844
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.858019
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.841148
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.828531
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.818769
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.816109
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.806429
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.801265
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.787975
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.782254
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.778943
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.777524
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.7731
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.773004
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.76589
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.767012
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.76267
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.761466
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.761867
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.759763
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.75493
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.747511
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.748951
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.750691
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.751969
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.750356
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.753809
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.747511

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0609
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03344
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.991241
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.968669
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.935849
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.91356
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.900405
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.887344
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.872203
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.858168
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.84474
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.83453
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.822189
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.811354
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.794244
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78633
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.777388
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.772737
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.764019
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759712
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760585
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.760844
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.759796
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.750649
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.749206
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.747033
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.73914
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.734297
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.734445
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.731825
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.732166
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.735762
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.73676
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.741283
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.746472
Stopping. Best iteration:
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.731825

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05028
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00931
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.976703
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.949546
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.946196
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.917147
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.895443
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883631
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.865986
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.849052
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.831934
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.821885
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.809652
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.797747
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788684
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.784345
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.77519
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.767127
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.764159
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.75751
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.748327
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.742199
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.729984
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.720497
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.714032
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714884
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.709095
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.709634
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.703631
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.703463
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.697085
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.692311
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.688029
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.687108
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.684868
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.681942
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.682416
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.681507
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.681916
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.683145
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.681133
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.679756
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.678622
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.678549
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.67653
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.676297
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.673388
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.672231
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.67176
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.67141
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.673089
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.67456
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.674579
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.678744
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.677348
Stopping. Best iteration:
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.67141

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06305
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0329
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00019
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.970966
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.943087
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.923461
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.903328
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.886698
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.861778
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.84958
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.837794
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.832222
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.823358
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.814192
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.807557
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.799179
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.79875
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.797029
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792105
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.790188
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.789142
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.785088
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.779987
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.777034
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.779796
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.779672
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.776478
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.777821
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.776329
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.773293
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.77249
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.774631
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.772926
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.770528
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.771838
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.77383
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.775988
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.780491
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.77963
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.770528

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06278
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0284
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997013
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.976955
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.951175
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.937892
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.927369
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.918177
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.900608
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.888981
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.874343
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.8611
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.849455
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.840227
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.825826
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.823114
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.822004
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.815123
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.804298
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.798839
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.800608
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.796706
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.79551
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.789344
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.78648
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.784929
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.781736
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.780453
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.774853
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.770564
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.768975
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.767914
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.765068
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.764284
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.761616
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.763767
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.768481
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.765047
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.764178
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.766577
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.761616

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05236
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01856
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.986334
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.958702
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.923089
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.89843
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882546
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.870543
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.854402
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.84053
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.830252
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.8165
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.795266
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.777253
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.76708
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.756388
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.748469
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.743159
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.732728
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.723873
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.71907
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.71542
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.712119
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.706068
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.701958
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.696365
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.692911
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.688769
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.68952
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.685407
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.685854
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.683597
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.681755
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.679575
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.677943
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.67895
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.678932
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.680561
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.680468
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.678382
Stopping. Best iteration:
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.677943

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05717
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03184
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00411
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.985377
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.95934
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.934496
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.922218
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.91566
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.901248
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.887431
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.872985
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.861004
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.844802
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.832554
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.82536
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.821309
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.812271
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.807536
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.807014
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.798439
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.800103
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.798257
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.798019
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.795022
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.793877
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.790697
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.792932
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.794304
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.797505
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.800731
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.806101
Stopping. Best iteration:
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.790697

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05778
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02912
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.995402
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.973928
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.955618
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.934754
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.911823
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901715
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.87869
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.861434
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.849316
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.830972
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.813038
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.800352
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.793124
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.788404
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.779372
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.771718
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.76952
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.764123
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.760021
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.762669
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.757419
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.747679
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.742351
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.738578
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.737081
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.733813
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.727874
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.722474
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.724006
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.727105
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.723212
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.724784
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.723024
Stopping. Best iteration:
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.722474

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.05608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02056
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.994535
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.966931
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.958333
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936895
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.918913
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.900566
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.882669
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.864814
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.854466
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.843243
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.833193
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.824026
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.816882
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.816425
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.806004
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.792718
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.785506
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.778467
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.770015
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.763156
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754758
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748816
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74122
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.73965
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.729811
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.728055
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.720181
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.71556
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.708455
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.704062
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.702287
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.703029
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.701522
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.697132
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.696334
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.691532
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.691468
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.692365
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.693621
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.690521
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.68462
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.682705
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.679375
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.679833
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.680269
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.677183
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.675582
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.676958
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.674985
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.675889
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.676286
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.678188
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.676812
[55]	validation_0-merror:0.25	validation_0-mlogloss:0.676014
Stopping. Best iteration:
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.674985

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05957
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.03819
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00408
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981213
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.946654
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925719
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.902999
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.887344
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.868173
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.853967
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.83828
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.824878
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.819986
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.809734
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.800275
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.786879
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.781045
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.778031
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.777032
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.773305
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.77032
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.768228
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.765594
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.763888
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.761043
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.758672
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.757044
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.756962
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.759366
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.756045
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.76049
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.762654
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.762995
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.761908
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.764956
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.756045

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05876
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03185
[2]	validation_0-merror:0.216667	validation_0-mlogloss:0.993336
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.977753
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.94657
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.923871
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.905214
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.892679
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.878477
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.868612
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.851121
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.842917
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.828779
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.812799
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.796581
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.795435
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.789542
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.783037
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.773428
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.763397
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.759689
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.757975
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.754959
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.745366
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.74266
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.74041
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.734621
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.72693
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.72305
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.719126
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.71945
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.719692
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.719548
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.720273
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.72096
Stopping. Best iteration:
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.719126

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05104
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01001
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.975845
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.94622
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.943124
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.913243
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.891805
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.875043
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.855394
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.837121
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.820359
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807013
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.794426
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.783267
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.776613
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.771879
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.762335
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.750571
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.744338
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.738919
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.729799
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.724637
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.713999
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.708029
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.703656
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.702871
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.696181
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.69605
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.690982
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.690313
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.688282
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.684222
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.680646
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.679568
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.676044
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.673325
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.675717
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.674214
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.677872
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.674639
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.675501
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.673325

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06327
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03059
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.999463
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.96787
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.936007
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.915724
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.896006
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.88233
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.859881
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.847014
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.83442
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.825985
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.821344
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.811938
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.806452
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.796235
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.795959
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.790956
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.787381
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.787961
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.785703
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.783706
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.779443
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.774017
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.773189
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.770431
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.766484
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.76376
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.767032
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.763276
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.763669
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.767047
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.768908
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.766244
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.766505
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.763276

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06175
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03269
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00129
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.978969
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.948835
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.931689
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.913479
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.898108
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.879656
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.867483
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.856375
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.841022
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.825625
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.816905
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800602
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.796129
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.791803
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.785337
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.777606
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.768553
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.77137
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.771356
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.767738
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.762152
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.75851
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.753897
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.749695
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.747446
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.741538
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.737472
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.7411
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.743962
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.739408
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.742709
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.74235
Stopping. Best iteration:
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.737472

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05514
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02216
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.987828
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.962558
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.931228
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907037
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.890929
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.877917
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.860806
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.849421
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.840793
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.824502
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.804916
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.788734
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.778972
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.772275
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.760529
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.752153
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.743439
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.736704
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.7312
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.726211
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.722403
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.718273
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.714156
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.708719
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.708073
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.704996
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.70123
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69742
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.696184
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.694842
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.692736
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.691813
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.692193
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.694366
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.693272
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.694522
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.693091
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.691813

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05652
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03093
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998903
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.980272
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.956976
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.933766
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.919272
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.909245
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.897311
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.886954
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.87325
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.856937
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.839306
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.827836
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.820006
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.812043
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.803357
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.79778
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.792241
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.786123
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.781089
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.778006
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775442
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.772488
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.772358
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.76909
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.769651
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.769705
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.764892
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.766098
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.76799
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.766965
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.769048
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.768689
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.764892

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05801
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00026
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.979926
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95676
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.93193
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.917078
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.903905
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.885211
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.869346
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.856187
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.839551
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.81975
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.806621
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800638
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789051
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.780384
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.774007
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.76675
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.760495
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.75357
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.754279
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.749003
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.744819
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.738703
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.733822
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.732076
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.728227
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.72347
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.721238
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.722602
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.724732
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.722597
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.720932
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.716383
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.715936
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.715265
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.717285
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.716045
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.717301
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.714783
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.713195
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.712077
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.712142
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.715794
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.714431
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.717739
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.716427
Stopping. Best iteration:
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.712077

[0]	validation_0-merror:0.533333	validation_0-mlogloss:1.05945
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02931
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.999417
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.973543
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.963799
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.940263
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.923553
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.906644
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.8917
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.874668
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.862951
[11]	validation_0-merror:0.433333	validation_0-mlogloss:0.851475
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.839749
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.831274
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.823472
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.822131
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.808978
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.796778
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792023
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.785701
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.776818
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.768883
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.761734
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.754602
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.745823
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.744185
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.734876
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.725646
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.71973
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.714852
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.710517
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.704003
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.704775
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.699698
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.697454
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.694782
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.696927
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.694931
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.696377
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.693189
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.694646
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.695475
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.694495
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.690529
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.688448
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.68802
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.688297
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.686027
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.682547
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.684537
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.680283
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.683927
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.685273
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.685244
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.684598
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.684183
Stopping. Best iteration:
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.680283

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05987
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997591
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976739
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.942729
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922307
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.901639
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.887092
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.867694
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.850715
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.832341
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.822997
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.81888
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.807479
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.802423
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.791679
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.784503
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.780139
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.776921
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.772633
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767416
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.76174
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.760693
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.760319
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.763531
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.763269
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.760715
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.755639
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.754959
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.752356
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.753565
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.75341
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.746727
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.743012
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.748326
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.751414
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.746406
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.751422
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.751823
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.743012

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06779
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03786
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00071
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.978459
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.950869
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.92543
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.906901
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.893899
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.879651
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.865403
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.847356
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.839188
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.826399
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.811556
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799627
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797921
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.790338
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.786297
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.778827
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.771294
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.766917
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.761296
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.75749
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748621
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.745853
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.741323
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.736141
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.731858
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.731595
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.728357
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.723477
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.720353
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.71649
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.715924
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.713252
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.715966
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.712548
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.714624
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.712009
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.711727
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.706022
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.702521
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.70511
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.701262
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.70227
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.701967
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.700523
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.701607
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.706486
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.70753
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.705592
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.704472
Stopping. Best iteration:
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.700523

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05209
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01365
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.985554
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.959021
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.952826
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.9207
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.898725
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.88116
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.862816
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.845622
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.833071
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.819167
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.806166
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.791643
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.780915
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.776643
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.765454
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.754917
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.749989
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.745177
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.736008
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.731367
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.723296
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.717468
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.709806
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.708098
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.702263
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.702368
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.696678
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.694874
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.69296
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.686816
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.682683
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.682222
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.679995
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.676238
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.675999
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.672799
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.674056
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.671265
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.669985
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.6675
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.665377
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.66262
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.660481
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.656535
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.655317
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.657177
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.654642
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.655439
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.656834
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.658691
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.656558
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.661064
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.654642

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.06235
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03385
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.002
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.96839
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.937049
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.914966
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.898208
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.884606
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.86019
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.846193
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834012
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824645
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.816669
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.805922
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.804214
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.796972
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.794437
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.790456
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.786825
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.786327
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.781699
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.779297
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.772977
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.766791
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.767526
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.76733
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.764784
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.765198
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.766126
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.765437
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.765311
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.767815
Stopping. Best iteration:
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.764784

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06282
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03521
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00513
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.977284
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.944813
[5]	validation_0-merror:0.25	validation_0-mlogloss:0.92215
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.90191
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.887606
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.873341
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.85945
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.843241
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.831198
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.816837
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.804689
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.790885
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.787945
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.783494
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.777374
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.769941
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.763459
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.762744
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.759974
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.754172
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.747682
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.744002
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.7422
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.74022
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.737955
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.736795
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.730431
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.733999
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.732436
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.728273
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.732457
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.732382
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.733981
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.731718
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.73104
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.728273

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05556
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0226
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.991947
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.964703
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.93586
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.911552
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.89336
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.884838
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.865605
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854017
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.842054
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824654
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.807502
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.796241
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786596
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.775795
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.765555
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.757342
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.747607
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.740651
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.735631
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.731549
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.726322
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.720958
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.719415
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.713422
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.70633
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.703423
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.701902
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.697802
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.694654
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.694092
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.691998
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.688372
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.68624
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.686496
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.68572
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.686518
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.685217
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.684371
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.685882
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.686661
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.687457
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.687886
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.688574
Stopping. Best iteration:
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.684371

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05932
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03192
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999153
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.981559
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957057
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.935436
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.919533
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.910744
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.899502
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.887558
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.877814
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.86215
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.849842
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.839847
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.833428
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.8236
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.816253
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.812272
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.80573
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.800537
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.795723
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.792436
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.788197
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.784865
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.784487
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.783879
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.783918
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.785407
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.783872
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.783915
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.785391
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.784475
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.784981
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.786957
Stopping. Best iteration:
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.783872

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06378
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03443
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00076
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.981152
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.958429
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.930916
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.917609
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.904035
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.885372
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.868333
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.850997
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.835744
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.818554
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.807676
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.799559
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.789855
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.776916
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768967
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.766262
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.758424
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.754918
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.752831
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.746829
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.738624
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.732169
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.728656
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.727867
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.724141
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.719986
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.716182
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.719235
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.71778
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714726
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.712179
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.70621
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.704256
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.705309
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.709351
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.707149
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.705634
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.702056
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.701093
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.700036
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.697994
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.697261
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.695676
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.697584
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.698855
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.699278
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.700336
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.705419
Stopping. Best iteration:
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.695676

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06128
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.997809
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.971621
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.962824
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.935785
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.91683
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.901639
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.88586
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.869014
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.85641
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.841141
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.828142
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813467
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.807651
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.80537
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.794433
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.782007
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.777583
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.770744
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.761244
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.753336
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.746175
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.742411
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.731717
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.731372
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.724821
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.721313
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.715136
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.710822
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.704871
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.701697
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.700657
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.698649
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.699831
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.696545
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.697803
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.693843
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.694586
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.6931
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.695455
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.692093
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.689651
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.686586
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.685988
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.683669
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.684357
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.682445
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.682109
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.684669
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.68319
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.68709
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.688039
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.691414
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.682109

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04392
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00753
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982218
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950012
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.929942
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.91034
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.891149
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.873556
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.857604
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.840617
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.831493
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.827077
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.817899
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811912
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.80486
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.798641
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.791739
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.784447
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77815
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772087
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.765545
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.764235
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.76176
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.762454
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.759512
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.757937
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.754698
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.751442
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.749079
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.750216
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.746716
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.745054
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.744471
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.748182
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.750444
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.746705
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.751832
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.75133
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.744471

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04078
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00252
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981356
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.955933
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.93315
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.911457
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.898561
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.883802
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.871214
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.850042
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.838988
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.826034
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.809947
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.798176
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.796224
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.789544
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.783061
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.769569
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.765749
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.759467
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.750606
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.747407
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.738063
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.737269
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.732708
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.727457
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.721653
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.718736
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.713062
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.707621
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.702958
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.702171
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.702735
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.700155
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.699462
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.694795
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.694516
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.69223
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.688625
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.682806
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.680599
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.681964
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.678661
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.677295
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.674106
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.675144
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.675947
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.678922
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.680066
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.677415
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.674106

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0129
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.987954
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.957966
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.95037
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.918994
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897442
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.880364
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864901
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.846579
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.833381
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.819625
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80754
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.798395
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789785
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.787888
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.77847
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767252
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.760834
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.755476
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.744782
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741832
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.730807
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.725628
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.718435
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.716705
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.711244
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.709927
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.706532
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.703083
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.700172
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.694175
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.689294
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.686392
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.684115
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.677755
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.67738
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.67414
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.675258
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.672069
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.674043
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.66841
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.669174
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.667612
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.666039
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.664014
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.663294
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.660425
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.657984
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.657843
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.658326
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.659164
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.658599
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.662573
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.663748
Stopping. Best iteration:
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.657843

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0632
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02865
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.998635
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.968121
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.936061
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.917092
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.902139
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.884461
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.859681
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845183
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.83546
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.826145
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.819429
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.811661
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.807432
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.801867
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.799067
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.793315
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.789058
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.790176
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.785167
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.781802
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.778375
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.776121
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.777262
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.775231
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.769907
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.769029
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.767654
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.766649
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.767042
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.769558
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.76861
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.769286
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.770795
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.766649

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06684
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03563
[2]	validation_0-merror:0.283333	validation_0-mlogloss:1.00259
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.974489
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.945572
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.922269
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.902759
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.887685
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.868326
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.85461
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.841531
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.828912
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.814938
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.802863
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.793937
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.791238
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.786616
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.78008
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.772929
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.76546
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.762611
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.760364
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.752906
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.745461
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.741706
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738038
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.735244
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.730312
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.728171
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.723351
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.724533
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.718794
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.712211
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.718324
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.71613
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.718255
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.716706
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.716053
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.712211

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05789
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02461
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.993286
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.968901
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.939525
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.913703
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.89438
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.883568
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.863052
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.850563
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.836948
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.819528
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.797793
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.789036
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.780076
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.771466
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.761963
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.753924
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.744102
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.737856
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.732435
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.729714
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.724998
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.717909
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.716263
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.712159
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.70579
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.701913
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.70163
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.697801
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.695949
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.691937
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.690443
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.686733
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.68615
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.686392
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.686699
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.686849
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.68654
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.687607
Stopping. Best iteration:
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.68615

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05951
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03143
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00242
[3]	validation_0-merror:0.45	validation_0-mlogloss:0.983182
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.953329
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.932953
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.917782
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.912706
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.90281
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.890751
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.879031
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.868568
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.854597
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.84297
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.83529
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.82491
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.8164
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.812686
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.809762
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.80634
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.804485
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.801506
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.799009
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.796015
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.79362
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.790357
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.793183
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.792937
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.791425
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.790977
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.792533
Stopping. Best iteration:
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.790357

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06191
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02907
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.997223
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.976821
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95424
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.927581
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.912104
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.899038
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.881587
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.867141
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849052
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.83194
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.817999
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.806767
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.801407
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.793021
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.777891
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.768551
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.761562
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.752917
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.750616
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.749889
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.742634
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.733484
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.726903
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.72537
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.724344
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.721184
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.715863
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.710814
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.70888
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.709239
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.704561
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.703152
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.702581
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.699965
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.701899
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.704756
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.703902
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.703628
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.7007
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.699965

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02768
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.998338
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.971385
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.96248
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.940185
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.921762
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.904489
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.887562
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.866207
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.851794
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.836499
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.823473
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.81022
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.80042
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.798223
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.785796
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773933
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.770736
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.766051
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.755795
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.748506
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.744689
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.739014
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.728209
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.728287
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.721389
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.718035
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.711862
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.710831
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.704732
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.700356
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.699712
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.696842
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.696297
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.69214
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.692557
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.692076
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.695237
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.694722
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.697402
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.697173
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.696638
Stopping. Best iteration:
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.692076

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06375
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0409
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00266
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.978075
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.945551
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.927862
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.909895
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.89239
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.876195
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.860119
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.842907
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.83096
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.824283
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.812473
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.805924
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799634
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.794508
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.786368
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.781896
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.774169
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.77009
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.764443
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.764188
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.762376
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.761267
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.759982
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.758771
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.756481
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.752583
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.750406
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.751579
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.747932
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.746568
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.746354
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.74902
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.748168
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.746274
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.745623
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.745827
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.745732
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.743762
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.740119
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.740792
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.740183
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.742568
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.739322
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.739942
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.736663
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.738022
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.738303
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.734164
[51]	validation_0-merror:0.366667	validation_0-mlogloss:0.736209
[52]	validation_0-merror:0.366667	validation_0-mlogloss:0.73809
[53]	validation_0-merror:0.366667	validation_0-mlogloss:0.739146
[54]	validation_0-merror:0.366667	validation_0-mlogloss:0.746443
[55]	validation_0-merror:0.366667	validation_0-mlogloss:0.747702
Stopping. Best iteration:
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.734164

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06523
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03589
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.99734
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976211
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.953514
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.928733
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.912403
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.898852
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.880235
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.868629
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.849457
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.836107
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.824461
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.810063
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799079
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797752
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.792233
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.787365
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.78076
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.77695
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.771182
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.765973
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.765472
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.759113
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.758616
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756686
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.752064
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.744107
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.742881
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.738098
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.734354
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.730912
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.730389
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.729921
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.727865
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.726176
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.720376
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.720992
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.717822
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.715345
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.70927
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.707027
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.70819
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.703479
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.699231
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.693401
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.694043
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.694873
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.693213
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.693597
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.690275
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.688766
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.685033
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.685503
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.690095
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.688771
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.690187
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.689438
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.685033

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05087
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01397
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985324
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957136
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.948246
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.920464
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904486
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885462
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.868814
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.84753
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834704
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.82234
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808832
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.797195
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788754
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.785035
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773472
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.761657
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.75662
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.751225
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.74365
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740368
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.728482
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.721034
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.712773
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.709399
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.704076
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.70387
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.701239
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.699049
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.696261
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.692879
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.688767
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.687046
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.685687
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.680406
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.67832
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.675395
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.677963
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.673007
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.67493
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.672257
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.672271
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.671132
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.669889
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.665854
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.664687
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.662749
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.661112
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.6603
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.660896
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.662871
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.662121
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.665076
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.6665
Stopping. Best iteration:
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.6603

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06325
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02743
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.997662
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.967591
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.938197
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.919938
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.904827
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.89038
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.868793
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.853994
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.841408
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.829963
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.822439
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.814769
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810045
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.801782
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.798626
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.793752
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.788084
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783498
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.781593
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.77616
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.770167
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.767042
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.768178
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765836
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.762552
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.758455
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.755871
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.752905
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.753505
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.754053
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.752497
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.752182
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.751111
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.750952
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.752262
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.7554
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.753753
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.75219
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.751692
Stopping. Best iteration:
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.750952

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0372
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00752
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.980017
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.959025
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.936146
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.916659
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.903602
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.886576
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.869567
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.856729
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.844768
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.830841
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.818394
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.810414
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.806107
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.801097
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.794086
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.78872
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.779728
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.777527
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.775709
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.770091
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.763892
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.764129
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756986
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.757144
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.750667
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.747945
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.743666
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.74572
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.739658
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.734132
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.735736
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.73184
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.731339
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.727995
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.727873
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.726759
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.72709
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.721987
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.72112
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.72172
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.722801
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.722833
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.719618
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.715198
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.714661
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.715442
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.718116
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.716472
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.717899
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.7161
Stopping. Best iteration:
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.714661

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02416
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.992472
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.967207
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.939023
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.91529
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.894486
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.881328
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.860526
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.847881
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.834945
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.817574
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.798783
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.785277
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.777441
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.767262
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.756113
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.747455
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.736973
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.72886
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.723498
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.720161
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.713184
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.708921
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.704164
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.69528
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.689175
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.684444
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.68235
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.677467
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.675336
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.672385
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.672407
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.67135
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.671641
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.671235
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.671247
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.669733
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.670939
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.671406
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.673617
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.674098
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.674028
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.669733

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06001
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03221
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.0017
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.98586
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.956805
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.933568
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.919369
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.913009
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.904784
[9]	validation_0-merror:0.433333	validation_0-mlogloss:0.892389
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.879359
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.869171
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.855506
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.843961
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.835946
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.826068
[16]	validation_0-merror:0.416667	validation_0-mlogloss:0.818601
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.81527
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.812287
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.809918
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.805922
[21]	validation_0-merror:0.416667	validation_0-mlogloss:0.804586
[22]	validation_0-merror:0.416667	validation_0-mlogloss:0.800969
[23]	validation_0-merror:0.416667	validation_0-mlogloss:0.797261
[24]	validation_0-merror:0.416667	validation_0-mlogloss:0.793996
[25]	validation_0-merror:0.416667	validation_0-mlogloss:0.792035
[26]	validation_0-merror:0.416667	validation_0-mlogloss:0.789857
[27]	validation_0-merror:0.416667	validation_0-mlogloss:0.788865
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.787473
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.78581
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.788356
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.78829
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.78845
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.789448
[34]	validation_0-merror:0.416667	validation_0-mlogloss:0.789128
Stopping. Best iteration:
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.78581

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06516
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03014
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999491
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.979503
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954885
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925447
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.910109
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.900911
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.881398
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.865461
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.847037
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.830026
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.812436
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.798655
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.791509
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.784171
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.770272
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.760395
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757406
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.747381
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.740439
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.739136
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.732598
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724646
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.720834
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.715629
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.715213
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.707778
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.702024
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.699203
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.699147
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.699024
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.697546
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.696367
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.694144
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.692731
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.69539
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.695237
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.69362
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.690991
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.688882
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.688272
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.685939
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.683171
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.684365
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.683761
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.682467
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.681395
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.681999
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.681399
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.681916
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.682634
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.681993
Stopping. Best iteration:
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.681395

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05669
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02026
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992015
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.957373
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950769
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926423
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.906878
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.893011
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.87835
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.859781
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.848826
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.835582
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.821663
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.812466
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.806096
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.806138
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.792953
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.78148
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.773409
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.767956
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.762483
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.751686
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.742822
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.734877
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.729516
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.728156
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.718032
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.716134
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709923
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.703068
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.695754
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.692295
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.691358
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.689829
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.687974
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.685769
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.683725
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.675066
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.675017
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.673801
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.675704
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.674694
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.672611
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.673392
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.672979
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.670406
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.668614
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.66793
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.668601
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.67045
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.669522
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.670563
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.67038
Stopping. Best iteration:
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.66793

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06024
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03511
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.999686
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.975631
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.944729
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.921951
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.900232
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.886252
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.867216
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.849105
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.836483
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.825193
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.824005
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.812196
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.806759
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.79316
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.790829
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.786845
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.785104
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.785584
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.78571
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.777574
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.779287
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.776722
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.775374
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.776313
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.774085
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.77229
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.76482
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.766085
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.766738
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.769372
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.767106
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.767347
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.76482

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06098
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03353
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.991638
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.969117
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.936306
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.91503
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.901973
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.888842
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.873939
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.860556
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.846792
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.836432
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.82443
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.814504
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.796942
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.790224
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.780897
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.776297
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767122
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762442
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.762489
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.762593
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.757061
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.747431
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74648
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.743197
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.73612
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.733599
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.731054
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.727781
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.728825
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.730833
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.73239
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.736663
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.739861
Stopping. Best iteration:
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.727781

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05028
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00952
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977936
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.950437
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.949745
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.920905
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.901083
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.890737
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875446
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.859529
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.841293
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.833819
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.820746
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.807803
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798554
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797538
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.789157
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.782509
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.777629
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.771889
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.763224
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.75677
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.747918
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.736896
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.729237
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.730715
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.724131
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.72501
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.719478
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.717348
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.71402
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.710943
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.706941
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.71009
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.709703
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.706648
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.707898
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.707003
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.707918
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.705098
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.702606
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.701361
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.698549
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.698308
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.695987
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.697644
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.696354
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.697149
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.694939
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.697067
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.697417
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.699338
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.698072
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.701795
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.694939

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06257
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03417
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00594
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976247
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.949272
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.929973
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.910821
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.894657
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.870927
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.859416
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.850567
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.847447
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.839434
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.830483
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.824675
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.812212
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.812301
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.812365
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.808214
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.804113
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.801183
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.797667
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.794315
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.792901
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.794452
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.794306
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.79276
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.789864
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.788675
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.784707
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.784385
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.783891
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.784335
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.780944
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.782844
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.784351
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.785821
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.791561
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.792446
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.780944

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06349
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02917
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.99877
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.978838
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952164
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.940761
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.930403
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.92165
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.902899
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.893373
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.880009
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.86677
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.856595
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.848757
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.833486
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.830728
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.827632
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.82135
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.810139
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.802905
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.805283
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.801951
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.80667
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.798813
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.796587
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.796852
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.793938
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.793901
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.788783
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.781658
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.780279
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.781735
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.775592
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.777183
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.778559
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.779651
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.782719
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.784146
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.775592

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05279
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02001
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.989933
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.964693
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.93082
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.905519
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.890294
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.878324
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.860846
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.846476
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.837382
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.821803
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.800662
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.783878
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.7753
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.765494
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.756835
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.750561
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.740549
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.736617
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.729984
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.726953
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.724004
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.719865
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.718059
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.713706
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.710347
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.705244
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.704766
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.702098
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.701267
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.698534
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.694829
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.694813
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.691861
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.690189
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.689672
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.688821
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.688776
[39]	validation_0-merror:0.233333	validation_0-mlogloss:0.688933
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.68876
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.686622
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.684072
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.684542
[44]	validation_0-merror:0.25	validation_0-mlogloss:0.684268
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.684733
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.685256
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.686091
Stopping. Best iteration:
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.684072

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05681
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03218
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00614
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.989064
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.960083
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.933997
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.921394
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.917176
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.906694
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.895567
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.881944
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.870487
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.857188
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.845347
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.838722
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.83329
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.823515
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.819105
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.818725
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.813538
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.813788
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.812703
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.813232
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.809173
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.807843
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.80568
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.809231
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.812217
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.813828
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.816184
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.82121
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.80568

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05704
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03061
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995924
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.97428
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.953574
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.932914
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.909844
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.898763
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.876487
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.860061
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.847729
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.831964
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.811275
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.800582
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.794793
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788727
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780092
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.770171
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.762722
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.758065
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.751577
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.757607
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.74977
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.748615
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.743502
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.738158
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.733978
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.72905
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.72431
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.723514
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.725038
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.72688
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.72622
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.724531
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.723303
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.722293
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.724046
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.725577
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.727133
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.725993
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.725726
Stopping. Best iteration:
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.722293

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.05608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02056
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.994535
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.966931
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.958333
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936935
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.918942
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.900428
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.882535
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.866304
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.855933
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.846255
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.834936
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.82575
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.818211
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818732
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.809006
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.799289
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.792552
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.785807
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.777429
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.770734
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.762036
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.756473
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.748896
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.748545
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.738393
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.737605
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.730733
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.72591
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.718628
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.712259
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.710886
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.711943
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.710502
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.709824
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.705747
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.70094
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.701516
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.701144
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.701732
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.699907
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.693524
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.691091
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.690819
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.691643
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.692272
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.688909
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.687345
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.689683
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.687184
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.687938
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.688608
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.69045
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.689955
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.689166
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.687184

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05957
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.03819
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00408
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982452
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.946768
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926062
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.903435
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.888564
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.869449
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.855217
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.839538
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.826511
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.822208
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.814847
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.80362
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.790702
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.783132
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.779315
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.778664
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.774841
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.771315
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.769106
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.766702
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.764973
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.762045
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.760196
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.758402
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.756918
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.758969
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.761026
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.764318
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.765057
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.765742
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.756918

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05876
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03185
[2]	validation_0-merror:0.216667	validation_0-mlogloss:0.993336
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.977753
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.94657
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.923344
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.904704
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.892115
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.877982
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863868
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.846636
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.838227
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.824417
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.805979
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.79089
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.789739
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.780724
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.776768
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.767406
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.761819
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.758282
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.756457
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.754854
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.744519
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.742109
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.740039
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.73456
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.728444
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.724871
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.721655
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.722151
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.722829
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.722602
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.72241
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.725446
Stopping. Best iteration:
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.721655

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05091
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01148
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.977392
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.947254
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.945619
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915946
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.894991
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.876769
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.858661
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.840672
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.823801
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.811171
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.800454
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.786369
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.783452
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.780042
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.768948
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.757255
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.749526
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.743995
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.736482
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.732233
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.724154
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.715499
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.709309
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.706633
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.699163
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.698706
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.693487
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.693569
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.69165
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.687411
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.683085
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.684863
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.680391
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.677734
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.680105
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.680494
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.681978
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.678476
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.67688
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.673003
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.669128
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.668454
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.667254
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.667934
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.666943
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.666878
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.666264
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.668499
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.669606
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.672041
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.672531
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.673081
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.666264

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06423
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03256
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.999169
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.967881
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938503
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.922196
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.903187
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.890346
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.868092
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.8572
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.845296
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.838629
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.835424
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.823332
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.817589
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.807517
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.808527
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.803913
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.798777
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.798477
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.798056
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.79541
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.789414
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.783393
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.783993
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.782514
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.779595
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.778769
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.780014
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.775722
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.774934
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.776568
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.776882
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.77477
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.777619
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.781502
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.783271
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.787034
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.788078
Stopping. Best iteration:
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.77477

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06206
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03299
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00159
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.979224
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.949095
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.93423
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.914229
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.901281
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.880785
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.867317
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.855513
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.842375
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.827086
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.816059
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800512
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.796609
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.791495
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.785107
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.776495
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.767929
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.769812
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.767906
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.76512
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.759535
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.756546
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.754749
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.749483
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.747496
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.744493
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.741943
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.743123
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.74364
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.74075
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.742522
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.741846
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.743946
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.740853
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.740627
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.740214
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.737854
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.737475
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.737007
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.735165
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.737974
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.742166
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.740662
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.738461
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.739256
Stopping. Best iteration:
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.735165

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05675
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02406
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.992007
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.968462
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.938618
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.914379
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.89849
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.888108
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.871342
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.857452
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.847749
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.836047
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.813895
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.799066
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.79162
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.784785
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.774363
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.764102
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.756093
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.745826
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.739864
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.736158
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.730829
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.726157
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.725977
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.722064
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.719212
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.715451
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.713695
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.708203
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.702883
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.699683
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.691305
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.688292
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.687966
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.69003
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.691611
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.689064
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.687905
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.688412
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.688842
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.688921
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.688324
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.689286
Stopping. Best iteration:
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.687905

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05611
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02981
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.99945
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.981334
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.960684
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.936486
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.921172
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.9137
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.902242
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.890224
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.876745
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.862379
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.84949
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.834181
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.824351
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.815374
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.808657
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.804713
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.802604
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.796244
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.794092
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.792527
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.790684
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.789434
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.789146
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.785324
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.78737
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.790327
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.787769
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.789745
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.792136
Stopping. Best iteration:
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.785324

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05801
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03204
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00109
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.98132
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.955475
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.930645
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.91571
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.906019
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.887878
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.872492
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.859331
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.84309
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.822127
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.809083
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.803539
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.790889
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.781572
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.775491
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.768204
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.763192
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.757318
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.752403
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.746997
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.743161
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.737562
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.733011
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.730273
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.72515
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.721697
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.720109
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.722686
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.725372
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.723129
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.723254
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.719019
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.715737
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.716771
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.71843
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.717411
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.717814
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.714955
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.714956
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.71534
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.716817
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.716603
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.716898
Stopping. Best iteration:
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.714955

[0]	validation_0-merror:0.533333	validation_0-mlogloss:1.05945
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02931
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.999417
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.973543
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.963799
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.939691
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.922969
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.906112
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.891162
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.874177
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.862478
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.85058
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.838924
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.83052
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.822698
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.821277
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.808722
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.7966
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792283
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.787181
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.777286
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769324
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.762331
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.755225
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.746514
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.744833
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.735548
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.72663
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.720785
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.715847
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.711466
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.704906
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.705785
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.700757
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.698654
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.695995
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.697969
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.695979
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.697437
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.694286
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.695667
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.696432
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.694463
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.691003
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.688272
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.688098
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.68829
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.685972
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.682968
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.684782
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.680224
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.683858
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.685351
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.687075
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.686375
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.686116
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.680224

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05987
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997591
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976739
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.942941
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922516
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.901841
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.887289
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.867852
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.850909
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.832366
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.822961
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.818874
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.807479
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.802504
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.791838
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.784657
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.780245
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.77695
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.774564
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.769328
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.763614
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.762567
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.762224
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.763529
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.763357
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.760749
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.757737
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.756946
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.755466
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.756648
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.756592
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.749826
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.746037
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.750298
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.753303
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.748349
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.74755
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.749592
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.746037

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06779
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03786
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00071
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.978459
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.950869
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.924985
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.906432
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.89341
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.879179
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.865491
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.847392
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.839144
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.826459
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.81162
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.799767
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.798043
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.790537
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.786533
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.779152
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.774359
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.769945
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.763087
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.759214
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.752254
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.749264
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.746069
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.7408
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.734553
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.734313
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.730948
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.727856
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.725953
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.72211
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.721607
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.718937
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.721906
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.718423
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.718381
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.716016
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.715629
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.71024
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.706738
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.708292
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.70453
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.705344
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.70497
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.703908
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.704697
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.707948
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.709261
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.707425
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.70619
Stopping. Best iteration:
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.703908

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05209
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01415
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.986016
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.959486
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955774
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.924319
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.907996
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.89057
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.869744
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.852362
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.839863
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.826966
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.813958
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.80081
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.790422
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787271
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.776269
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765705
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.76062
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.756329
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.745647
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.74074
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.733334
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.727148
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.718549
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.716822
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.710557
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.710869
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.704773
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.703033
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.699727
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.693738
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.689887
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.686209
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.684084
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.680425
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.679472
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.677525
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.679125
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.676076
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.675005
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.671506
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.669937
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.66748
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.663912
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.660259
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.66079
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.659722
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.659512
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.661768
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.662292
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.664551
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.663775
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.668091
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.659512

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.06169
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03333
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00344
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.974572
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.944575
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.922411
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.906281
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.891059
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.866499
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.849572
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.839421
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.832821
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.825254
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.814872
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.813096
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.804205
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.800383
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.796702
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.792494
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.792178
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.787903
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.784752
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.778527
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.772977
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.772392
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.771693
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.768055
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.768346
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.769452
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.768375
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.769226
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.770284
Stopping. Best iteration:
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.768055

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06282
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03521
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00513
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.977284
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.944813
[5]	validation_0-merror:0.25	validation_0-mlogloss:0.92215
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.903483
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.889177
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.874835
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.860911
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.844693
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.832631
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.818188
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.80636
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.792763
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.788662
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.783907
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.777795
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.76964
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.763348
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.762558
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.759742
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.755784
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.749504
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.745753
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.743381
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.741386
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.738993
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.735117
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.72998
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.731527
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.729534
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.726136
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.72804
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.727825
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.729553
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.728988
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.730357
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.726136

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.0561
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0242
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.99284
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.96715
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.940482
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915316
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.897651
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.887456
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.868759
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.859159
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.848524
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.83091
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.811401
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.800462
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.791211
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.780159
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.770622
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.762714
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.753887
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.743258
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.735588
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.731748
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.72817
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.725614
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.721744
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.715298
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70815
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.705033
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.703175
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.699093
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.693193
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.689623
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.687703
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.683547
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.681528
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.681101
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.67975
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.677361
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.675184
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.675455
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.676366
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.676864
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.678095
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.678751
Stopping. Best iteration:
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.675184

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05911
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03169
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00001
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.982452
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.9572
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.936048
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.919938
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.911725
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.900225
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.888352
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.877857
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.861992
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.84775
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.837855
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.830295
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.822702
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.815311
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.814314
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.808264
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.802847
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.797481
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.792158
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.787608
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.785219
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.784521
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.78354
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.781821
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.784678
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.783033
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.782417
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.785687
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.788309
Stopping. Best iteration:
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.781821

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06378
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03316
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.999555
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.980722
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.958019
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.930495
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.917241
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.90524
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.886476
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.869466
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.852114
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.83684
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.821741
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.810876
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.803169
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.793594
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.779075
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.772883
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.767872
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.759177
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.755487
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.754857
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.747749
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.742188
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.735781
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.731293
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.730133
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.729832
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.721187
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.717443
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.716996
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.716158
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.711231
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.709554
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.709775
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.707909
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.711112
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.712858
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.711784
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.71107
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.709823
Stopping. Best iteration:
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.707909

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06128
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.997809
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.971621
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.962824
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.935785
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.91683
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.901639
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.88586
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.869014
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.85641
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.841141
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.828142
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813467
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.807651
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.80537
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.794433
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.782007
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.777583
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.770744
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.761244
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.753336
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.746175
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.742411
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.731717
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.731372
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.724821
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.721313
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.715136
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.710822
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.704871
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.701697
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.700657
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.698649
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.699831
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.696545
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.697803
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.693843
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.694586
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.6931
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.695455
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.692093
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.689651
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.686586
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.685988
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.683669
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.684357
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.682445
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.682109
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.684669
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.68319
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.68709
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.688039
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.691414
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.682109

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04392
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00753
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982218
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950012
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.929942
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.91034
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.891149
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.873556
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.857604
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.840617
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.831493
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.827077
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.817899
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811912
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.80486
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.798641
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.791739
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.784447
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77815
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772087
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.765545
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.764235
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.76176
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.762454
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.759512
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.757937
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.754698
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.751442
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.749079
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.750216
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.746716
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.745054
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.744471
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.748182
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.750444
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.746705
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.751832
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.75133
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.744471

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04078
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00252
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981356
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.955933
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.93315
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.911457
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.898561
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.883802
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.871214
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.850042
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.838988
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.826034
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.809947
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.798176
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.796224
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.789544
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.783061
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.769569
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.765749
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.759467
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.750606
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.747407
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.738063
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.737269
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.732708
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.727457
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.721653
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.718736
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.713062
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.707621
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.702958
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.702171
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.702735
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.700155
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.699462
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.694795
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.694516
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.69223
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.688625
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.682806
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.680599
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.681964
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.678661
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.677295
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.674106
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.675144
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.675947
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.678922
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.680066
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.677415
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.674106

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0129
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.987954
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.957966
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.949984
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.918555
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897054
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.880027
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.864585
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.844957
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.831525
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.817124
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805174
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.796222
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.78787
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.785474
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.771155
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.75992
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.755427
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.750647
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.73944
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.735284
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.72475
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.720136
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.712386
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.710744
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.705047
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.705119
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.70188
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.697609
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.694826
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.688218
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.683561
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.680792
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.678099
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.671259
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.669259
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.668884
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.670146
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.668766
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.67072
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.667976
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.668831
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.66763
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.666206
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.664526
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.66258
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.660473
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.658231
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.658015
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.658626
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.660279
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.659796
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.662044
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.66337
Stopping. Best iteration:
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.658015

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0632
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0291
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.999103
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966297
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.936069
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.917063
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.902055
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.885727
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.860908
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.846779
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.836901
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.82782
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.821327
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.813477
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810583
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.802132
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.799284
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792148
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.787864
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.788651
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.781712
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.778305
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.77476
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.771338
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.772885
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.770828
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.766215
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.764894
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.763512
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.762339
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.761722
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.765095
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.763998
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.764518
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.765821
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.766178
Stopping. Best iteration:
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.761722

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06684
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03563
[2]	validation_0-merror:0.283333	validation_0-mlogloss:1.00259
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.974489
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.945572
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.922269
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.902759
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.887685
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.868326
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.85461
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.841531
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.828912
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.815975
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.803899
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.794973
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.791972
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.78739
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.78085
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.773693
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.765776
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.762944
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.760693
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.753244
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.746286
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.742509
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738835
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.736577
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.731647
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.72952
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.724698
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.725895
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.720167
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.713585
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.719695
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.717522
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.719651
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.718597
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.71797
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.713585

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05789
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02497
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993583
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969627
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941136
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.915268
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896288
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.885289
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.864797
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.853366
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.839091
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822027
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.800175
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.787725
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.778407
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.770375
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.765188
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.757027
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.746381
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.738751
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.735185
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.73049
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.726493
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.721385
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.718575
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.715191
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.712687
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.708723
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.708617
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.704857
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.70286
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.695987
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.692956
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.690954
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.691479
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.691248
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.691758
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.692697
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.693281
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.690954

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05858
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03048
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00108
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.982708
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.953363
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.932955
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.918558
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.913871
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.904124
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.893
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.881226
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.870724
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.857196
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.846409
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.83903
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.826998
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.818436
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.815141
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.812525
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.808461
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.807122
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.804476
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.800565
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.798027
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.796573
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.796174
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.799107
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.799801
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.798609
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.796947
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.798867
Stopping. Best iteration:
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.796174

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06191
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02907
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.997223
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.976821
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95424
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.927581
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.912104
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.899038
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.88221
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.867074
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.848968
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.831825
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.818207
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.806523
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.801637
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.792969
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.777436
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.768159
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.7633
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754527
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.751714
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.751338
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.742774
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.733445
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.727405
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.724557
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.721693
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.719122
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.711315
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.706414
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.705136
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.706356
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.708058
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.706828
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.703649
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.70238
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.70501
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.704544
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.702643
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.702573
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.699938
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.698947
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.696843
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.695073
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.694074
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.6933
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.696741
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.699417
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.700417
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.699373
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.700714
Stopping. Best iteration:
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.6933

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02768
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.998338
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.971385
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.96248
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.940185
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.921762
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.904489
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.887562
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.866207
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.851794
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.836499
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.823473
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.81022
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.80042
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.798223
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.785796
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773933
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.770736
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.766051
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.755795
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.748506
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.744689
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.739014
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.728209
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.728287
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.721389
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.718035
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.711862
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.710831
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.704732
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.700356
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.699712
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.696842
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.696297
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.69214
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.692557
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.692076
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.695237
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.694722
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.697402
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.697173
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.696638
Stopping. Best iteration:
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.692076

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06375
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0409
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00266
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.978075
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.945551
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.927862
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.909895
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.89239
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.876195
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.860119
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.842907
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.83096
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.824283
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.812473
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.805924
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799634
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.794508
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.786368
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.781896
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.774169
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.77009
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.764443
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.764188
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.762376
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.761267
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.759982
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.758771
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.756481
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.752583
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.750406
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.751579
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.747932
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.746568
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.746354
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.74902
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.748168
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.746274
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.745623
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.745827
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.745732
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.743762
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.740119
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.740792
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.740183
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.742568
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.739322
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.739942
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.736663
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.738022
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.738303
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.734164
[51]	validation_0-merror:0.366667	validation_0-mlogloss:0.736209
[52]	validation_0-merror:0.366667	validation_0-mlogloss:0.73809
[53]	validation_0-merror:0.366667	validation_0-mlogloss:0.739146
[54]	validation_0-merror:0.366667	validation_0-mlogloss:0.746443
[55]	validation_0-merror:0.366667	validation_0-mlogloss:0.747702
Stopping. Best iteration:
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.734164

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06523
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03589
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.99734
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976211
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.953514
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.928733
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.912403
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.898852
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.880235
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.868629
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.849457
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.836107
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.824461
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.810063
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799079
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797752
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.792233
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.787365
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.78076
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.77695
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.771182
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.765973
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.765472
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.759113
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.758616
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756686
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.752064
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.744107
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.742881
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.738098
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.734354
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.730912
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.730389
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.729921
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.727865
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.726176
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.720376
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.720992
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.717822
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.715345
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.70927
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.707027
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.70819
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.703479
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.699231
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.693401
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.694043
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.694873
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.693213
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.693597
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.690275
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.688766
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.685033
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.685503
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.690095
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.688771
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.690187
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.689438
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.685033

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05087
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01397
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985324
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957136
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.948246
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.920268
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.904273
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885248
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.868577
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.847262
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834401
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822018
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808499
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798542
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790494
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.786253
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775334
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763645
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.758668
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753571
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746046
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.742762
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.730903
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.723445
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.715461
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.713087
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.70778
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.707661
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.705087
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.702894
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.70055
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.697259
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.693163
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.691455
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.690151
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.684859
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.682709
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.6798
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.682293
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.67736
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.679357
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.676703
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.67585
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.67387
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.672648
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.668558
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.66666
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.664308
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.662732
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.661915
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.662446
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.664415
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.663741
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.665974
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.667403
Stopping. Best iteration:
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.661915

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06325
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02743
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.997662
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.967591
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.938197
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.919938
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.904827
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.89038
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.868793
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.853994
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.841408
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.829963
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.822439
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.814769
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810045
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.801782
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.798626
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.793752
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.788084
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783498
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.781593
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.77616
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.770167
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.767042
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.768178
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765836
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.762552
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.758455
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.755871
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.752905
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.753505
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.754053
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.752497
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.752182
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.751111
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.750952
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.752262
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.7554
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.753753
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.75219
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.751692
Stopping. Best iteration:
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.750952

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0372
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00752
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.980017
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.959025
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.936146
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.916659
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.903602
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.886576
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.869567
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.856729
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.844768
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.830841
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.818394
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.810414
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.806107
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.801097
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.794086
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.78872
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.779728
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.777527
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.775709
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.770091
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.763892
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.764129
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756986
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.757144
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.750667
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.747945
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.743666
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.74572
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.739658
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.734132
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.735736
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.73184
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.731339
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.727995
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.727873
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.726759
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.72709
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.721987
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.72112
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.72172
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.722801
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.722833
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.719618
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.715198
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.714661
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.715442
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.718116
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.716472
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.717899
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.7161
Stopping. Best iteration:
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.714661

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02554
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993686
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.968514
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.940313
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.916658
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.895884
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.881815
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.862827
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.85112
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.838069
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820612
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.801549
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.788029
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.779553
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.769446
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.761026
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.75226
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.74071
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.732451
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.727111
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.723815
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.716904
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.711598
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.706849
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.700114
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.693996
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.689346
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.687218
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.682614
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.681434
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.677473
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.677621
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.676394
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.676684
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.676376
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.67494
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.674084
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.675471
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.675867
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.678064
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.679269
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.679267
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.674084

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06001
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03221
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.0017
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.98586
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.956805
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.933568
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.919369
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.913009
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.904784
[9]	validation_0-merror:0.433333	validation_0-mlogloss:0.892389
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.879359
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.869171
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.85534
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.843787
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.835773
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.827313
[16]	validation_0-merror:0.416667	validation_0-mlogloss:0.820393
[17]	validation_0-merror:0.416667	validation_0-mlogloss:0.816747
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.812194
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.810734
[20]	validation_0-merror:0.416667	validation_0-mlogloss:0.805587
[21]	validation_0-merror:0.416667	validation_0-mlogloss:0.803183
[22]	validation_0-merror:0.416667	validation_0-mlogloss:0.799513
[23]	validation_0-merror:0.416667	validation_0-mlogloss:0.795678
[24]	validation_0-merror:0.416667	validation_0-mlogloss:0.792993
[25]	validation_0-merror:0.416667	validation_0-mlogloss:0.790396
[26]	validation_0-merror:0.416667	validation_0-mlogloss:0.787899
[27]	validation_0-merror:0.416667	validation_0-mlogloss:0.78789
[28]	validation_0-merror:0.416667	validation_0-mlogloss:0.786548
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.785399
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.78923
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.787401
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.787781
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.788003
[34]	validation_0-merror:0.416667	validation_0-mlogloss:0.787873
Stopping. Best iteration:
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.785399

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06516
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03014
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999491
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.979503
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954885
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925447
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.910109
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.900911
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.881398
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.865461
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.847037
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.830026
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.812436
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.798655
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.791509
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.784171
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.770272
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.760395
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757406
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.747381
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.740439
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.739136
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.732598
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724646
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.720834
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.715629
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.715213
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.707797
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.702039
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.700407
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.700384
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.699816
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700113
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.698058
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.694981
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.693561
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.696188
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.696027
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.693761
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.69178
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.689869
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.689315
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.687013
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.684164
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.683724
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.68481
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.684211
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.684712
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.685307
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.684637
Stopping. Best iteration:
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.683724

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05726
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02672
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00005
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.970093
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.962484
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.941913
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.924615
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.909442
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.888094
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.872431
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.859473
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.845054
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.832441
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.823079
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.811781
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.806701
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.794087
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.781801
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.776375
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.771905
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.764507
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.757736
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.750868
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.744317
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.732413
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.725247
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.710451
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.704422
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.703104
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.693528
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.689676
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.685525
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.680916
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.677822
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.677601
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.676631
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.675071
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.670302
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.670761
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.666576
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.667296
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.668038
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.662729
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.661381
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.660012
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.656275
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.655822
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.653973
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.652991
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.655478
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.651823
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.654015
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.656098
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.659756
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.659537
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.657762
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.651823

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06397
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.04047
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00454
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.983294
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.954219
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.932868
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.912121
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.896135
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.875769
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.858206
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.841401
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.82952
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.822872
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815343
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.808381
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.799572
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.793532
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.787796
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.78428
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.775649
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.773113
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.766193
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.76516
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.760405
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.758583
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.755455
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.751707
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.748115
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.741522
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.741191
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.741273
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.736938
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.736002
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.732682
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.736148
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.736429
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.730684
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.731819
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.730204
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.728468
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.726988
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.725454
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.725534
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.720577
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.718998
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.721135
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.72436
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.721252
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.723214
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.728598
Stopping. Best iteration:
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.718998

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.0702
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.04471
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00802
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.990692
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.962309
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.938343
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.919264
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901697
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.881393
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.869286
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.848136
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.834944
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.820517
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.802292
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.786162
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.782697
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.772496
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.768887
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.757059
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.750781
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.745958
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.738626
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.732303
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.725019
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.723501
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.72055
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.714178
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.708471
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.703372
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.697911
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.690018
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.686129
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.682051
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.683098
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.680605
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.680698
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.67293
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.671213
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.670038
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.668346
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.665335
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.659846
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.659272
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.652812
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.649825
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.648601
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.650136
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.648593
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.648296
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.646679
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.646605
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.64634
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.639791
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.641464
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.64472
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.639996
[56]	validation_0-merror:0.333333	validation_0-mlogloss:0.639647
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.637497
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.636844
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.63616
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.634988
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.63625
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.637003
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.635794
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.636116
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.636026
Stopping. Best iteration:
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.634988

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05311
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01885
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.992598
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.963711
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.955657
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.928463
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.908113
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.89029
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.871833
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.852894
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.838105
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.822425
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.809047
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.799067
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.789749
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.782775
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773648
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.763284
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757229
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.750526
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.74452
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.739578
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.728312
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.723238
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.71502
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.710098
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.702434
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.700277
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.697534
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.693061
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.688548
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.685001
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.680577
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.676346
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.674044
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.671906
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.66922
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.670526
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.673192
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.670339
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.670645
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.669835
Stopping. Best iteration:
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.66922

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06436
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03619
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00717
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.979869
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952996
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.930589
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.91408
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.899619
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.879241
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.864166
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853471
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.845064
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.835529
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.826625
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.817505
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.807795
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.804837
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.801383
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.793328
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.789417
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.78249
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.780596
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775895
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.769544
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.767859
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.762927
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.755946
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.756195
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.752127
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.749856
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.747114
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.747679
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.744463
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.739798
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.741023
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.737337
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.736539
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.736182
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.734237
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.732427
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.73186
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.731031
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.730754
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.726983
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.726415
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.722296
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.721707
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.721371
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.719047
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.720702
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.722335
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.723975
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.727316
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.727954
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.719047

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06927
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04484
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.01227
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.989261
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.966157
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.945555
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.927595
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.911985
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.888518
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.872628
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.859343
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.846182
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.8335
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.823249
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.812044
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.803612
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.79702
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.786497
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.77577
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.768718
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.76621
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.76221
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754102
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.747177
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.738891
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.734376
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.73
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.724932
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.71825
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.712206
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.707948
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.705371
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.699431
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.699842
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.69468
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.691872
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.687237
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.684752
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.682134
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.680619
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.675859
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.675155
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.673337
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.670768
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.671011
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.668546
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.664735
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.662872
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.662525
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.665333
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.663191
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.661402
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.66008
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.662359
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.661477
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.660088
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.657874
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.655055
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.65388
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.651489
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.647706
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.647844
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.64674
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.648353
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.650382
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.647378
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.647836
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.649103
Stopping. Best iteration:
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.64674

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05659
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02433
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.994123
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971484
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.942045
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918018
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.90211
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.891502
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.877094
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.862953
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.849611
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.83667
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.823438
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.809909
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.800245
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.787747
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780036
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769917
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.760581
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.75122
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743978
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.739367
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.732554
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.728803
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.725631
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.71919
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.7163
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.713702
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.712409
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.706742
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703453
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.700108
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.698397
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.694972
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.694098
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.691455
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.688263
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.684511
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.683437
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.681222
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.679225
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.677547
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.675455
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.676888
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.676999
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.677032
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.676126
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.677136
Stopping. Best iteration:
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.675455

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06173
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03236
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00658
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.987164
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.961933
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.936319
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.921577
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.911274
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.897407
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.883729
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.870281
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.855143
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.840778
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.827935
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.820453
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.816625
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.808513
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.802233
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.796343
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.787988
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.781577
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.779153
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.776345
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.771983
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.768277
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765828
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.763302
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.760701
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.756553
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.755238
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.755788
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.75419
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747541
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.747726
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.74242
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.738332
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.741342
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.742532
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.74028
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.739191
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.738278
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.73485
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.734118
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.731366
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.729691
[45]	validation_0-merror:0.383333	validation_0-mlogloss:0.727567
[46]	validation_0-merror:0.383333	validation_0-mlogloss:0.729823
[47]	validation_0-merror:0.383333	validation_0-mlogloss:0.729941
[48]	validation_0-merror:0.383333	validation_0-mlogloss:0.732597
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.732333
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.730239
Stopping. Best iteration:
[45]	validation_0-merror:0.383333	validation_0-mlogloss:0.727567

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07327
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04155
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.01652
[3]	validation_0-merror:0.4	validation_0-mlogloss:1.00152
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.985254
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.961206
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.946625
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.935171
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.917705
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.902827
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.883111
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.869078
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.851696
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.84117
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.829013
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.823898
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.812481
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.803752
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792103
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.781927
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.773621
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.768222
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.760742
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.754637
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.747836
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.742212
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.736014
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.732992
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.726585
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.722084
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.721354
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.716196
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.709846
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.706093
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.702036
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.698074
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.694759
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.691648
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.687184
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.684616
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.681422
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.67763
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.676317
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.673234
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.671659
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.668015
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.667826
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.665985
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.662724
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.659866
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.657993
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.656634
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.654699
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.651037
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.649604
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.650818
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.649009
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.647292
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.647067
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.646573
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.643876
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.641934
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.643487
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.643751
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.644739
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.640962
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.638732
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.638149
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.637929
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.639607
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.638177
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.638926
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.640133
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.641052
Stopping. Best iteration:
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.637929

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05486
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02446
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00217
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.973142
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.964394
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.945688
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.929914
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.912186
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.894582
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.878927
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.86588
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.851312
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.838579
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.829151
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.817442
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.812903
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.801094
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.788062
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.783202
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.77504
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.766994
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.761152
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754366
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.747792
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.736583
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.731232
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.71964
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.71297
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.707708
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.701185
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.69711
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.694352
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.687696
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.683433
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.682285
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.679539
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.679153
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.675839
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.676368
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.672313
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.672544
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.672979
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.667966
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.666651
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.663157
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.658691
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.656899
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.654284
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.648783
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.651221
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.647811
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.649825
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.651679
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.654745
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.654034
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.652329
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.647811

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06418
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.04018
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00432
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.983836
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955606
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935842
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.915196
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.898367
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.879133
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.861466
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.844353
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.832085
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82573
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.814987
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.809051
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.79987
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.793858
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.787489
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.783711
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.775885
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.773246
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.767003
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.765425
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.76189
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.759336
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.756238
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.753453
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.75068
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.748249
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.746917
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.746437
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.742699
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.74188
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.738778
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.742235
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.744128
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.738748
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.739241
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.736083
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.734556
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.732649
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.730998
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.72843
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.725592
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.724645
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.725867
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.731398
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.728975
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.729651
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.735244
Stopping. Best iteration:
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.724645

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06946
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.04373
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.007
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.989784
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.961438
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.937408
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.919469
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.902983
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.88422
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.870355
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849038
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.835884
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.821602
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.803212
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.787345
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.781563
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.772793
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.768807
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.756903
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.750778
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.746346
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.737487
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731428
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.723802
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.722216
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.719094
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.710722
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.70548
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699131
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69522
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.688472
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.684468
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.680193
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.680144
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.677763
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.679139
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.671461
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.670305
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.668451
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.666393
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.662781
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.65705
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.659382
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.653848
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.652389
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.650121
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.654347
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.653061
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.650614
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.651585
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.651889
Stopping. Best iteration:
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.650121

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05287
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01811
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.991785
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962936
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.954847
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.928676
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.905885
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.888757
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.870323
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.852319
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.837545
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.822998
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.809967
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801607
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.791282
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.784434
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775591
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.764938
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.758503
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.752204
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.744388
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.739565
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.728359
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724455
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.716104
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.709652
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70162
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.699447
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.696348
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.692485
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.686566
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.681152
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.674025
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.671119
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.66828
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.665409
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.661024
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.662592
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.664348
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.66172
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.662472
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.661469
Stopping. Best iteration:
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.661024

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06455
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03634
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00671
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.979224
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.953014
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.930082
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.913422
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.899245
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.878969
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.863777
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853119
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.844787
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.835949
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.827086
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.817902
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.808764
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.805508
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.801559
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792675
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.788967
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.781807
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.778115
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.773423
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.767341
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.765801
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.76075
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.753607
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.753929
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.752513
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.75013
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.749946
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.750266
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.7467
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.741711
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.743349
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.741492
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.741175
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.741031
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.739804
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.740029
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.738442
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.740526
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.740065
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.737985
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.736768
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.735711
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.734702
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.73679
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.732075
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.737268
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.7377
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.739279
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.739347
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.738005
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.732075

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06861
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.0415
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00898
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.984519
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.961464
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.942425
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.924767
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.910639
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.889381
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.873305
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.860233
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.84799
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.834599
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.824338
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.812895
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.804658
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.798142
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.790019
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.780713
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.773656
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.773335
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.771619
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.764898
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.758716
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.750081
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.745385
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.739331
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.734163
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.726993
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.720995
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.717337
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.714255
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.708003
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.708686
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.703486
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.700792
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.696495
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.691427
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.688034
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.685723
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.681601
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.681469
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.679674
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.678053
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.678512
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.67737
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.673715
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.673594
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.673079
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.675298
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.672274
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.66897
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.667514
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.667322
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.668715
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.667377
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.665492
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.662755
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.660878
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.658401
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.654425
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.654273
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.654003
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.655678
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.656918
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.653754
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.652393
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.650942
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.652331
[69]	validation_0-merror:0.3	validation_0-mlogloss:0.652478
[70]	validation_0-merror:0.3	validation_0-mlogloss:0.65067
[71]	validation_0-merror:0.3	validation_0-mlogloss:0.650728
[72]	validation_0-merror:0.3	validation_0-mlogloss:0.649056
[73]	validation_0-merror:0.3	validation_0-mlogloss:0.648037
[74]	validation_0-merror:0.3	validation_0-mlogloss:0.644862
[75]	validation_0-merror:0.3	validation_0-mlogloss:0.644411
[76]	validation_0-merror:0.3	validation_0-mlogloss:0.64898
[77]	validation_0-merror:0.3	validation_0-mlogloss:0.649784
[78]	validation_0-merror:0.3	validation_0-mlogloss:0.646574
[79]	validation_0-merror:0.3	validation_0-mlogloss:0.64948
[80]	validation_0-merror:0.3	validation_0-mlogloss:0.649997
Stopping. Best iteration:
[75]	validation_0-merror:0.3	validation_0-mlogloss:0.644411

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05659
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02327
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.993096
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970399
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.942023
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916995
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.90205
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.891444
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.877044
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.863873
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.850825
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.837203
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.822318
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.809554
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.800321
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789716
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.78022
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.770604
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.761406
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.752105
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.744719
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.740281
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.734256
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.730635
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.727808
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.722944
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.720275
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.716885
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.714735
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.709093
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.705849
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.701287
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.700009
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.698907
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.698055
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.696306
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.693401
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.687153
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.688605
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.68672
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.686762
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.684355
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.682158
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.682584
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.682459
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.680994
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.680794
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.680951
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.681866
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.679479
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.67869
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.678897
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.679954
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.679437
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.680537
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.680083
Stopping. Best iteration:
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.67869

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06166
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03198
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.0062
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.985175
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.961227
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.935454
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.920258
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.909344
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.894264
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.880441
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.866835
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.851504
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.836218
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.823626
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.815829
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.81227
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.803052
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.795875
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.787895
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.779395
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.77545
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.772557
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767826
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.762079
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.758065
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.755074
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.752456
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.748852
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.744973
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.744004
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.743344
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.745939
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.738407
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.737876
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.73162
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.729972
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.730826
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.727565
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.725278
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.724069
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.722291
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.721264
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.720664
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.72086
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.719105
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.720497
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.722359
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.723674
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.723696
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.723947
Stopping. Best iteration:
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.719105

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07283
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.04079
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.01534
[3]	validation_0-merror:0.4	validation_0-mlogloss:1.00047
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.978458
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.954362
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.938961
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.927469
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.911127
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.894807
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.875027
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.858749
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.842607
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.832041
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.822802
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.817974
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.806474
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.797921
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789301
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.77944
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.772687
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.76733
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.759954
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.752335
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.745406
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.740057
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.733673
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.730201
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.724441
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.720471
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.71605
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.714619
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.708002
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.704533
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.698564
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.694563
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.692241
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.692612
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.689081
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.687997
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.684977
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.681445
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.681369
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.677611
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.675534
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.673132
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.671999
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.670184
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.668362
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.666864
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.666809
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.665476
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.663324
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.664359
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.662428
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.663588
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.662022
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.661161
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.659575
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.659943
[60]	validation_0-merror:0.25	validation_0-mlogloss:0.656639
[61]	validation_0-merror:0.25	validation_0-mlogloss:0.656099
[62]	validation_0-merror:0.25	validation_0-mlogloss:0.653031
[63]	validation_0-merror:0.25	validation_0-mlogloss:0.654369
[64]	validation_0-merror:0.25	validation_0-mlogloss:0.655117
[65]	validation_0-merror:0.25	validation_0-mlogloss:0.653128
[66]	validation_0-merror:0.25	validation_0-mlogloss:0.651176
[67]	validation_0-merror:0.25	validation_0-mlogloss:0.651707
[68]	validation_0-merror:0.25	validation_0-mlogloss:0.64937
[69]	validation_0-merror:0.25	validation_0-mlogloss:0.651234
[70]	validation_0-merror:0.25	validation_0-mlogloss:0.649267
[71]	validation_0-merror:0.25	validation_0-mlogloss:0.649233
[72]	validation_0-merror:0.25	validation_0-mlogloss:0.650575
[73]	validation_0-merror:0.25	validation_0-mlogloss:0.651606
[74]	validation_0-merror:0.25	validation_0-mlogloss:0.650419
[75]	validation_0-merror:0.25	validation_0-mlogloss:0.65148
[76]	validation_0-merror:0.25	validation_0-mlogloss:0.652584
Stopping. Best iteration:
[71]	validation_0-merror:0.25	validation_0-mlogloss:0.649233

[0]	validation_0-merror:0.516667	validation_0-mlogloss:1.05973
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03024
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00648
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.978338
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.969534
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.950235
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.934228
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.9166
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.895301
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.879471
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.867204
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.85203
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.839353
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.830986
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.819182
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.816591
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.804229
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.792408
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.786809
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.778664
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.770915
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.763413
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.755635
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748585
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.737589
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.735148
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.723723
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.716575
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.711267
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.705407
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.700712
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.696152
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.692716
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.687814
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.684898
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.683241
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.680232
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.674865
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.675648
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.673443
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.673101
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.673507
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.670027
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.667664
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.665013
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.662481
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.661865
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.659403
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.6557
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.6571
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.653486
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.654658
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.655786
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.66009
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.660236
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.659104
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.653486

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06418
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.04058
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00588
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.984957
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.956897
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.936092
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.914339
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.898037
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879135
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.862304
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.847201
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.834818
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.825798
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.817996
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.812444
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.803338
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.79721
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.79253
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789714
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.781541
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.777671
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.773008
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.771399
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.767529
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.764751
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.761832
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.759785
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.754577
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.750908
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.75123
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.753025
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.749462
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.747778
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.744865
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.747798
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.748848
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.743057
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.745411
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.745239
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.744241
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.742069
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.73721
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.735246
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.731946
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.727967
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.729174
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.730088
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.72918
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.731661
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.739546
Stopping. Best iteration:
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.727967

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.07332
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04693
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.01025
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.993076
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.96628
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.942426
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.925563
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.908492
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.890679
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.874271
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.852642
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.838417
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.826477
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.811007
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.799675
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.794178
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.784532
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.779496
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.767021
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.760681
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.754904
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.745866
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.741048
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.732802
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.73156
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.7275
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.723298
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.717018
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.711625
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.707752
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.700297
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.695864
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.690587
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.692337
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.689581
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.690899
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.684109
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.681607
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.681503
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.679765
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.677137
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.671716
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.673841
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.669871
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.665965
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.665156
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.668445
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.668263
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.666768
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.666747
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.668102
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.665156

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05261
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01782
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.992705
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.964269
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.956363
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.930167
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.909009
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.891659
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.873824
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856992
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.84397
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.829406
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.815523
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.80605
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.794772
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78772
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.778891
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.770369
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.765464
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759261
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.750801
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.74627
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.735158
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.730627
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.722304
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.715986
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.707869
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.705809
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.702465
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.698436
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.692593
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.686258
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.680749
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.678645
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.67609
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.671315
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.667977
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.669663
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.670958
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.66577
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.664792
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.663674
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.664028
[43]	validation_0-merror:0.25	validation_0-mlogloss:0.662804
[44]	validation_0-merror:0.25	validation_0-mlogloss:0.660168
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.656992
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.653864
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.650282
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.645754
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.647512
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.647544
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.648189
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.646614
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.647731
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.645754

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06563
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03965
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00866
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982308
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.956028
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.93302
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.916799
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.900406
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.879577
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.864573
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853735
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.846125
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.837378
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.827889
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.818777
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.809617
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.806371
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.801875
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.795203
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.792742
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.785737
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.781898
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.777339
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.773333
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.773456
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.768067
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.761469
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.758797
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.754844
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.75192
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.753214
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.75386
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.749709
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.744554
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.74576
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.742141
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.740217
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.742775
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.740112
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.738889
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.737664
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.738261
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.737446
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.736601
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.735009
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.737163
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.735616
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.737314
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.733762
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.737559
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.736266
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.737666
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.740635
[53]	validation_0-merror:0.35	validation_0-mlogloss:0.743964
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.733762

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06861
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.0415
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00898
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.984519
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.961464
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.944493
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.926472
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.91224
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.89126
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.875219
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.861619
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.849633
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.837303
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.828615
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.816871
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.810434
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.803747
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.795621
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.786021
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.778633
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.777016
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.773698
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.766955
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.758793
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.750377
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.745937
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.740734
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.735527
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.728345
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.720634
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.72022
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.717496
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.711668
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.712069
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.706859
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.705802
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.70047
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.694995
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.691674
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.689106
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.685215
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.68518
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.682408
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.680136
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.679736
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.677263
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.677575
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.676982
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.677089
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.679428
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.677533
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.678028
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.676831
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.677924
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.677309
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.675138
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.672896
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.66961
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.669117
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.668096
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.670605
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.670081
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.672339
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.673959
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.676302
Stopping. Best iteration:
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.668096

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05742
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02405
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.995697
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.972642
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.946458
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921359
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.906187
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.895523
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.881176
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.867092
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.853939
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.838848
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.826216
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813334
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.804651
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.79483
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.785045
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.775238
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.76525
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.75552
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.747966
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.742824
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.735931
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.731653
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.726653
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.721867
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.718301
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.715342
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.711698
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.706229
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.703379
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.697412
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.698463
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.69403
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.690968
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.689312
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.685336
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.68133
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.682269
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.680723
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.681015
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.678144
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.675973
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.675915
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.678087
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.67965
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.67837
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.678148
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.678687
Stopping. Best iteration:
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.675915

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06156
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03459
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.01134
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.989289
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.963289
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.937254
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.921792
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.910539
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.895224
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.881902
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.868143
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.853112
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.839718
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.827152
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.81837
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.807815
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.798693
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.791727
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.787453
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.779263
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.775131
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.772132
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.765188
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.760303
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.756362
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.75229
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.749507
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.748711
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.743297
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.74056
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.737373
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.73845
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.73558
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.735043
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.733347
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.734413
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.735841
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.737129
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.733538
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.733041
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.735721
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.735221
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.734806
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.734672
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.73701
Stopping. Best iteration:
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.733041

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.04022
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.0149
[3]	validation_0-merror:0.416667	validation_0-mlogloss:1.00018
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.978736
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.954018
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.939694
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.928203
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.910807
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.894512
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.874845
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.858481
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.843379
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.831057
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.821161
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.816108
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.803232
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.795574
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.787928
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.777836
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.769711
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.764975
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.757446
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.750546
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.742675
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.737491
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.732458
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.728564
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.722359
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.720338
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.720043
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.715176
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.708833
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.705271
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.699815
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.696505
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.69321
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.6903
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.687306
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.687103
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.683539
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.681021
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.680059
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.679064
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.677383
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.673494
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.672499
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.670497
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.667309
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.667281
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.665844
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.664007
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.661856
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.661193
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.658497
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.658452
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.656194
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.653576
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.65206
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.650886
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.64985
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.649709
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.649769
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.651897
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.651467
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.651071
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.646375
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.648026
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.647779
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.649156
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.649959
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.652148
Stopping. Best iteration:
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.646375

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06182
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00351
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.975276
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.966501
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.942416
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.926359
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.909356
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.887792
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.871819
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.858266
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.844321
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.831637
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.818391
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.808097
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.804101
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.791781
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.779392
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.775155
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.768946
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.761089
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.754628
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.746659
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.74129
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.734388
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.733107
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722858
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.716273
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709186
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.70326
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.698354
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.692695
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.689565
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.68681
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.683555
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.680263
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.680014
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.675757
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.674404
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.671604
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.673352
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.670845
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.666982
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.665666
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.662629
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.66024
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.66094
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.660586
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.65727
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.659335
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.656217
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.658671
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.658671
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.660303
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.6595
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.65833
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.656217

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06418
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.04058
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00588
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.984957
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.956375
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.936259
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.914463
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.898249
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.878566
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.863649
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.847647
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.835138
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.828279
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.819215
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.813294
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.805087
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.799776
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.793423
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.790394
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.782375
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.778009
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.770807
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.769716
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.765913
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.76392
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.760268
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.75783
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.754056
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.751774
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751385
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.751865
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.749368
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.74777
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.743322
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.746175
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.747119
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.744845
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.747752
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.747655
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.743322

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.07077
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04437
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00848
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.991388
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.966534
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.942885
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.925264
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.908223
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.890904
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.875647
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.854558
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.840491
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.827221
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.811851
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800606
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795815
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.788975
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.783379
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.774694
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.768326
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.761794
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.752512
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.746488
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.737609
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.738096
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.731773
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.728996
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.722857
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.718217
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.714247
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.710631
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.705708
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.702036
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.702801
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.699536
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.699971
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.693817
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.692457
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.69104
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.688253
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.683443
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.67832
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.681257
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.676598
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.673951
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.670761
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.673912
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.673484
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.672945
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.674458
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.674378
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.670761

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0547
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01957
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.99458
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966839
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.958943
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932493
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.909074
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.891507
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.874735
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.857595
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.842959
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.827687
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.81506
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.805734
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.794901
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788836
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.778313
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.770196
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.764693
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.758237
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.748872
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.744429
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.733469
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.728925
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.722057
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.716627
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.711132
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.708546
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.705038
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.701794
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.698712
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.694233
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.690007
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.686777
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.684448
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.680633
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.678626
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.678385
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.680088
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.673909
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.672885
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.671785
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.671392
[43]	validation_0-merror:0.25	validation_0-mlogloss:0.668663
[44]	validation_0-merror:0.25	validation_0-mlogloss:0.665877
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.662123
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.659499
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.656242
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.652501
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.654509
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.654261
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.654764
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.649999
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.653464
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.653174
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.652847
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.652687
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.65049
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.649999

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06219
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03721
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00749
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.980592
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95304
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.930459
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.914669
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.898698
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.878013
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.864126
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853252
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.844851
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.83656
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.82694
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.817854
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.809279
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.80618
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.801324
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.793417
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.790064
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.780394
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.774688
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.769836
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.765854
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.766014
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.761399
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.75496
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.754409
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.752689
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.749761
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.750274
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.750352
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747999
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.742778
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.742774
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.739003
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.739444
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.739404
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.737178
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.738632
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.737288
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.737179
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.736851
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.73757
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.734313
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.735688
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.73324
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.734752
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.731794
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.734034
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.730789
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.731043
[52]	validation_0-merror:0.35	validation_0-mlogloss:0.73345
[53]	validation_0-merror:0.35	validation_0-mlogloss:0.735279
[54]	validation_0-merror:0.35	validation_0-mlogloss:0.736928
[55]	validation_0-merror:0.35	validation_0-mlogloss:0.736398
Stopping. Best iteration:
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.730789

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.07074
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04268
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.01113
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.986443
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.9635
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.942631
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.924931
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.911014
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.89507
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.879087
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.866021
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.854658
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.841446
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.833315
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.820971
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.813965
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.807747
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.799643
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789942
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.780848
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.777198
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.773909
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.766941
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.760058
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.755333
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.749224
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.745303
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739439
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.732553
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.72464
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.724399
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.721538
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.714392
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.714025
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.708942
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.706541
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.702623
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.699558
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.696299
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.69503
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.690426
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.690145
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.689046
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.687227
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.688004
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.684504
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.682487
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.680327
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.678233
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.682023
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.680225
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.679274
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.678744
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.678138
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.679771
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.677511
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.673812
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.673681
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.673105
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.672626
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.669434
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.672102
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.672796
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.673337
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.676723
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.672359
Stopping. Best iteration:
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.669434

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0601
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03035
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00189
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.97881
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.95324
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926592
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.911367
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.902145
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.886432
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.871772
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.858696
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.843416
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.827917
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.81259
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.803719
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.792252
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.785135
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.77518
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.764792
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.757855
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.751365
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.746033
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.73846
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.734053
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.730537
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.724143
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.723244
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71837
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.71548
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707963
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.705802
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.699827
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.69819
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.697212
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.693379
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.69297
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.690063
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.685785
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.684366
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.683338
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.683922
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.681993
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.681843
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.68357
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.686069
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.686373
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.682392
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.682929
Stopping. Best iteration:
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.681843

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0648
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0377
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.01477
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.993513
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.968026
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.941617
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.926638
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.915976
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.900894
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.887851
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.873941
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.859111
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.844513
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.832191
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.824464
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.815712
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.806071
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.799411
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.794801
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.787692
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.783757
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.781096
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.775321
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.772131
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.768529
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765568
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.760913
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.760176
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.755165
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.754219
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.752747
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.754092
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.751203
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.749152
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.746367
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.747445
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.7501
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.748444
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.748162
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.747818
Stopping. Best iteration:
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.746367

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04312
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.01763
[3]	validation_0-merror:0.416667	validation_0-mlogloss:1.00282
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.984833
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.959738
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.945415
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.933613
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.916218
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.899911
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.880178
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.863585
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.848468
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.83592
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.826769
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.819697
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.807581
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.798608
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792068
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.783117
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.775072
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.770233
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.762691
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.755025
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.747196
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.740484
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.736964
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.731573
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.725497
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.723188
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.720434
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.715824
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.711185
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.706938
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.704037
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.700247
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.696678
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.693193
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.68982
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.687878
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.682328
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.679968
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.679358
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.677439
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.676443
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.675036
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.674249
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.672638
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.672494
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.671065
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.671876
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.672556
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.672254
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.670913
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.672702
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.673625
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.672117
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.670215
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.669823
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.669926
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.669647
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.669458
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.667902
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.669613
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.668986
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.666615
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.666379
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.667979
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.66567
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.666834
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.666095
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.66703
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.66965
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.669713
Stopping. Best iteration:
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.66567

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05485
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02649
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999197
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.970188
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.961305
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.938168
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.922181
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.905799
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.884399
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.866464
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.852381
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.838466
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.825815
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.813815
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.803749
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.800039
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.788061
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.775816
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.772064
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766641
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.76046
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.753004
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.748386
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.743822
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.735762
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.734226
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.723822
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.71767
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.711147
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.708268
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.703156
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.698687
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.69646
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.693949
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.691533
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.687825
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.684897
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.685259
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.688095
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.684533
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.687122
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.686178
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.682432
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.682159
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.67961
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.677911
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.678614
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.675081
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.67177
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.673435
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.67015
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.671917
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.670339
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.671873
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.671797
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.671446
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.67015

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06397
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.04031
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.007
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.984669
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.956879
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.936502
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.916002
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.898781
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.878871
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.861852
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.845744
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833852
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82705
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.816185
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811505
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.802492
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.797296
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.790883
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.786666
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.77849
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.774474
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.76801
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.766876
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.762896
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.760781
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.758521
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.756263
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.752034
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.749122
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.746774
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746225
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.74268
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.742688
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.741792
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.744997
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.743227
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.74133
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.743523
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.744125
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.744218
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.742649
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.740086
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.740808
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.73911
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.739447
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.73722
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.737513
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.737023
[48]	validation_0-merror:0.383333	validation_0-mlogloss:0.735821
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.73623
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.734774
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.739755
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.741665
[53]	validation_0-merror:0.383333	validation_0-mlogloss:0.743291
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.751027
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.748568
Stopping. Best iteration:
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.734774

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.07103
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0439
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00815
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.990923
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.966127
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.942377
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.924986
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.907973
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.889932
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.874469
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.853472
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.839534
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.824519
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.808929
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.798011
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.793363
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.785907
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.780969
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.774285
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.769281
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.765587
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.756996
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.755094
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.749298
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.75043
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.746637
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.740861
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.734145
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.728733
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.72434
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.725795
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.720788
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.717315
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.716712
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.713091
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.711602
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.706878
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.703868
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.701952
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.699253
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.693971
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.690322
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.692439
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.689068
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.684513
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.681326
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.682026
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.682853
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.680943
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.682539
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.678573
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.676777
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.672213
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.670771
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.675373
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.673803
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.675523
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.676902
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.675298
Stopping. Best iteration:
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.670771

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05462
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.02132
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.99444
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966787
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.958751
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.932246
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.910637
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.892752
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.875659
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.858864
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.843744
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.828658
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.817388
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809681
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.798013
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.791645
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.780717
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771188
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.764545
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.75953
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.750815
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.746172
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.734313
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.728249
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.719145
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.713482
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.706812
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.704543
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.700963
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.700118
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.69782
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.694393
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.68849
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.685086
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.682965
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.678453
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.675905
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.675506
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.677188
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.670648
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.670364
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.669979
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.670125
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.66873
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.665908
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.665264
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.664912
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.663758
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.661308
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.662828
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.662361
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.664447
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.662382
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.666187
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.661308

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06212
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03714
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00786
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.980917
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.954327
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932207
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.915921
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.899927
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.879033
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.865045
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853749
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.844314
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.836312
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.827315
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.81905
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.808865
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.80562
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.799848
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.792852
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.789445
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.77979
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.774691
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.770096
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.766237
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.76623
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.761567
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.755232
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.754487
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.749577
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.744766
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.743722
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.743223
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.740695
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.742675
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.742254
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.738255
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.736411
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.73643
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.734536
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.735944
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.734649
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.735639
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.735424
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.73674
Stopping. Best iteration:
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.734536

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06886
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04072
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00836
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.98375
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.961685
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.945778
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.927986
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.914023
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.898275
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.879524
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.867025
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.854732
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.841713
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.833765
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.821563
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.814607
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.809888
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.801842
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79274
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.785155
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.781607
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.77838
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.771421
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.765282
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.762989
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.756087
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.752224
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.746812
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.739863
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.735306
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.737663
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.733213
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.726197
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.728202
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.721429
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.717998
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.715129
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.711004
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.707961
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.707329
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.702757
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.702355
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.701834
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.703327
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.704699
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.700473
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.698836
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.697535
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.697921
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.702787
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.698698
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.700138
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.698267
Stopping. Best iteration:
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.697535

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05904
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02915
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00092
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.978453
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.953416
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.92665
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.911484
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.9017
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.885987
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.87139
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.858233
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.841856
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.82776
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.815146
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.806329
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.796201
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.787068
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.779696
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.769129
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.759248
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.75226
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.746517
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.740102
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.734197
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.730698
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.724856
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.721746
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.717323
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.71583
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.709585
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.706525
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.704795
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.703589
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.700763
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.698117
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.699383
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.697079
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.691736
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.69246
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.690453
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.691884
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.690717
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.690673
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.688208
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.689923
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.690402
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.685441
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.687632
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.687881
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.685604
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.684328
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.686834
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.682897
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.684096
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.68393
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.681928
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.679166
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.677386
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.678222
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.678806
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.676141
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.675186
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.676585
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.676573
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.673557
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.673082
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.673614
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.676217
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.676811
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.676609
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.675948
Stopping. Best iteration:
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.673082

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06302
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03594
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.01207
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.991244
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.96499
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.938885
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.923798
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.913368
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.898207
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.88404
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.870162
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.85476
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.840062
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.826888
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.817707
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.807289
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.797855
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.791876
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.785789
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.778829
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.774597
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.772833
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.766299
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.763182
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.75979
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.755738
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.75239
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.75146
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.747554
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.744821
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.744224
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.745932
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.742503
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.741561
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.738565
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.735923
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.738937
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.738586
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.737955
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.737076
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.737463
Stopping. Best iteration:
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.735923

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04312
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.01763
[3]	validation_0-merror:0.416667	validation_0-mlogloss:1.00282
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.984833
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.959738
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.945415
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.934464
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.917371
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.89965
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.879981
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.863539
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.848462
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.835925
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.826766
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.821799
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.809402
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.79981
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.793036
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.783893
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.775876
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.771382
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.764002
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.759089
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.750664
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.747368
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740122
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.734747
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.729371
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.723961
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.718424
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.712907
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.707921
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.70598
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.701468
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.699353
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.695248
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.692922
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.690317
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.687067
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.68348
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.680975
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.679024
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.676862
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.674916
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.670243
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.669861
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.66936
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.667868
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.666865
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.666959
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.663718
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.662477
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.660566
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.663914
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.665304
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.66431
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.662563
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.661806
Stopping. Best iteration:
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.660566

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.0578
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0233
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.996704
[3]	validation_0-merror:0.45	validation_0-mlogloss:0.962015
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.953261
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.928013
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.908452
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.892874
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.874828
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855256
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.843001
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.831904
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.817182
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.807817
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.802758
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.802002
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.788981
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.77944
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.772425
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766628
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.754879
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745251
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736621
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.728362
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.721814
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.721846
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.710993
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.705416
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.700705
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.693757
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.684123
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.679534
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.675156
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.669372
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.668815
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.666743
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.663897
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.657818
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.659063
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.654449
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.657836
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.65804
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.655942
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.654604
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.653602
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.651951
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.649287
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.647363
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.649506
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.65179
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.651062
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.653763
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.653382
Stopping. Best iteration:
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.647363

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05977
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03476
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994928
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.968505
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.935257
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.913253
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.891491
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.873853
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855339
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.840505
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826185
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814046
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.809637
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.801146
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.794619
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.783723
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.782169
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.78101
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.778973
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.770279
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.771222
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.764553
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.764661
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.760895
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.76459
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.762742
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.758723
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.755403
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.749801
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.747601
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.747042
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.748093
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.750031
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.749841
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.755888
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.752557
Stopping. Best iteration:
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.747042

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05861
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.03305
[2]	validation_0-merror:0.216667	validation_0-mlogloss:0.99152
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.967728
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.932072
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.908885
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.896399
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883408
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864274
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.849271
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.83049
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820268
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.805762
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.791452
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.776198
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.770561
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.762398
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.759824
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.749091
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.739954
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.736968
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.733857
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.726904
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.71915
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.71889
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.716759
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.708274
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.702061
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.700532
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.695403
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.692901
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.693274
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.694806
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.699824
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.701757
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.707122
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.692901

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05026
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01267
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.979239
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.953678
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.948674
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917928
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.898909
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.883464
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.865941
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.847241
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.83151
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.819637
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.805676
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.792349
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.782087
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.777356
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.768496
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.76131
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.755304
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.751804
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.743005
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.738634
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.727332
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.722214
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.712772
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.710152
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.703241
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.703209
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.699542
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.695826
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.691378
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.687836
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.682127
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.67853
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.676128
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.675118
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.673518
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.67427
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.678264
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.676487
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.676226
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.674497
Stopping. Best iteration:
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.673518

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06281
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03223
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.997616
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.964761
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.939255
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.9187
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.898265
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.881065
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.85942
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.846731
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.83693
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.826729
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.820284
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.808438
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.801066
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.791639
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.792339
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.787481
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.782427
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.779217
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.773258
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.77046
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.766366
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.762323
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.767279
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.765248
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.762865
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.761741
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.763631
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.759087
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.760575
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.761558
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.760834
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.76032
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.761468
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.759087

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06108
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02673
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.993567
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.976437
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.953032
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.939259
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.916765
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.906949
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.889715
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.873065
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.85974
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.851468
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.836998
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.825175
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.81087
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.804139
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.803189
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.796384
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.786701
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.778403
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.776571
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.772509
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.769226
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.761862
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.75583
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.752166
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.746246
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.744925
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.739277
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.73389
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.733168
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.733128
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.728525
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.733878
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.731284
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.727543
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.725916
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.729357
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.729769
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.729508
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.726392
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.7267
Stopping. Best iteration:
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.725916

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05163
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01472
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.982664
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.958342
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.925454
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.899819
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.881617
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.868069
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.852294
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.839182
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.826971
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.810114
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.790386
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.774826
[14]	validation_0-merror:0.233333	validation_0-mlogloss:0.765283
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.75846
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.750123
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.743273
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.735507
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.732486
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.724789
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.719824
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.714736
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.709936
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.706066
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.700923
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.69933
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.695509
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.692423
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.689535
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.685299
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.680529
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.676186
[33]	validation_0-merror:0.216667	validation_0-mlogloss:0.6718
[34]	validation_0-merror:0.216667	validation_0-mlogloss:0.668021
[35]	validation_0-merror:0.216667	validation_0-mlogloss:0.666941
[36]	validation_0-merror:0.216667	validation_0-mlogloss:0.666067
[37]	validation_0-merror:0.233333	validation_0-mlogloss:0.665532
[38]	validation_0-merror:0.233333	validation_0-mlogloss:0.662619
[39]	validation_0-merror:0.233333	validation_0-mlogloss:0.664444
[40]	validation_0-merror:0.233333	validation_0-mlogloss:0.664304
[41]	validation_0-merror:0.233333	validation_0-mlogloss:0.662929
[42]	validation_0-merror:0.233333	validation_0-mlogloss:0.661807
[43]	validation_0-merror:0.233333	validation_0-mlogloss:0.663235
[44]	validation_0-merror:0.233333	validation_0-mlogloss:0.662685
[45]	validation_0-merror:0.233333	validation_0-mlogloss:0.662153
[46]	validation_0-merror:0.233333	validation_0-mlogloss:0.661766
[47]	validation_0-merror:0.233333	validation_0-mlogloss:0.661961
[48]	validation_0-merror:0.233333	validation_0-mlogloss:0.661807
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.661057
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.659192
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.658569
[52]	validation_0-merror:0.25	validation_0-mlogloss:0.656427
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.655437
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.656296
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.658899
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.655832
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.655479
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.654999
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.655042
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.654957
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.655156
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.65584
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.656283
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.655433
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.654625
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.654053
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.655587
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.656468
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.65954
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.662747
[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.662859
Stopping. Best iteration:
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.654053

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05782
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03231
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00419
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.983467
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.952031
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.928015
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.914782
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.905633
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.895531
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.882097
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.871511
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.856329
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.841174
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.828227
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.823512
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.815136
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.809376
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.804187
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.804182
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.795227
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.795801
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.792579
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.791407
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.788524
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.78794
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.785923
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.788464
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.787903
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.790071
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.789611
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.79483
Stopping. Best iteration:
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.785923

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06523
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03235
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997482
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.978676
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950769
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.924161
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.90378
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.891931
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.870557
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.851661
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.836867
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.829783
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80758
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.791057
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.7873
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.774599
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.763268
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.755087
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.750177
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.74159
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.733284
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.729848
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.725326
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.716436
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.710488
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.703544
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.705864
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.699831
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.692563
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.690691
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.690518
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.694707
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.693464
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.694643
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.689537
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.687931
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.692593
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.699416
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.697053
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.697175
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.697412
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.687931

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.05515
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02157
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.996616
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.967648
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.958523
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.936462
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.917845
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.899813
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.88369
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.865392
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.855862
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.845072
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.835115
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.826448
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.818408
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.816791
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.804499
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.790446
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.78517
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.778797
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.76822
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.758786
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.751705
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.746808
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.737111
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.735002
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.725924
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.723258
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.716615
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.709815
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.700001
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.693915
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.690141
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.688854
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.686084
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.681679
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.680508
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.678207
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.678619
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.678173
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.678899
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.67759
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.672965
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.6723
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.671806
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.670085
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.667152
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.665023
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.665205
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.66623
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.664105
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.66608
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.667021
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.667951
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.662637
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.661829
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.660472
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.657844
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.659832
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.664913
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.662761
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.664984
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.665409
Stopping. Best iteration:
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.657844

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05957
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03782
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00147
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.974649
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.940572
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.918635
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.896043
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.879084
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.860577
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.843706
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.827238
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812654
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.805595
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.795739
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.78792
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.77466
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.772602
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.770202
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.769234
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.765387
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.766187
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.762008
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.760108
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.758514
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.760799
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.758683
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755421
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.753541
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.755903
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751672
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.751562
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.750668
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.750654
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.749912
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.750569
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.753405
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.751114
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.750227
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.748123
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.745632
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.743268
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.744064
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.745566
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.744347
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.743727
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.746524
Stopping. Best iteration:
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.743268

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06106
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03259
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.993903
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.977234
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.947366
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.924489
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.90893
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.895702
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.87664
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.865407
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.846856
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.840305
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.826558
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.811038
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.794264
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.790548
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.782089
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.775482
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767408
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.757127
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.753228
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747821
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740468
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.732272
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.731831
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.728245
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.720375
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.714583
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709729
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.706379
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.704698
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.702073
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700758
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.704815
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.703243
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.708839
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.702545
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.70077
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700758

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.04961
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01148
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.979347
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.949601
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.945285
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.915
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.895098
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.877769
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.859052
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.840724
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.824451
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.812316
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.798119
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.788275
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.780239
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.775726
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.76506
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.754811
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.749139
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.745203
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.735739
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.730802
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.72081
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.714841
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.706214
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.7047
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.696964
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.696625
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.692648
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.69055
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.687876
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.682102
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.676973
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.673325
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.670712
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.668088
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.669676
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.671209
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.67478
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.670937
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.669201
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.668088

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.06394
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02859
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.996955
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962044
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934626
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915106
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.896764
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.881633
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.86223
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.847968
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.836819
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.827348
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.817391
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.806057
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79968
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.791273
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.791223
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.786737
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.78251
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.782159
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.77838
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.777932
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.770054
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.763799
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.76456
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.760984
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.75622
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.754656
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.756188
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751405
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.75175
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.754722
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.753237
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.752152
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.751345
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.754426
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.758146
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.761241
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.762747
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.763756
Stopping. Best iteration:
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.751345

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06085
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03101
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.99826
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.977187
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.943884
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.926142
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.906231
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.891404
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.871665
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.859411
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.849383
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.839291
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.823467
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.812982
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.798696
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.792502
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.78722
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.780476
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.774102
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.76466
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.765676
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.763247
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.755771
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.750407
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.745756
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.742601
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.736696
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.731547
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.726341
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.720721
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.719577
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.718245
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.714237
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.71898
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.716165
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.715755
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.714175
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.711718
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.70848
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.708398
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.705285
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.7051
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.703251
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.704118
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.710341
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.71003
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.707974
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.705136
Stopping. Best iteration:
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.703251

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05358
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02012
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.987592
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962154
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.930433
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.903767
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.884688
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.875211
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.85969
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.845663
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.834777
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.8199
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.799782
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.783686
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.772538
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.765963
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.756428
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.74649
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.739045
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.729408
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.724004
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.719715
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.714827
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.710564
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.705707
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.699391
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.693612
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.69
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.688437
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.685658
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.681886
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.677714
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.673605
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.669638
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.663663
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.663346
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.663671
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.66425
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.664766
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.66501
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.66678
Stopping. Best iteration:
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.663346

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05466
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.0278
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.996363
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.974581
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.948123
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.925204
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.91
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.899929
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.888736
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.880006
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.867305
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.849409
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.834798
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.821923
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.815059
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.806191
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.796262
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.791766
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789362
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.783706
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.782909
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.780158
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.77886
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.776328
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.775683
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.773751
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.777452
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.772754
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.773044
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.773686
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.777243
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.779198
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.779035
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.772754

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06223
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03286
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00049
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.981795
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957162
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.929954
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.911073
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.894887
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.874696
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.857985
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.841975
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.825328
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.805911
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.793269
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.785834
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.77619
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.766133
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.757687
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.752552
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.744723
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743305
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.743357
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.738231
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.730075
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.723878
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.719687
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.71636
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.71136
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.70721
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.705056
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.706901
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.708148
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.701966
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.699511
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.696597
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.694648
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.698692
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.701374
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.698717
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.696614
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.694914
Stopping. Best iteration:
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.694648

[0]	validation_0-merror:0.533333	validation_0-mlogloss:1.05945
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02968
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00214
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.974151
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.963989
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.939676
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.92271
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.905403
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.889432
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.870338
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.858019
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.846394
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.834394
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.82446
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.81883
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.816146
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.804012
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.791757
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.786965
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.782051
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.77192
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.763191
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.752295
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.744122
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.735747
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.734407
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.72524
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71865
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.714424
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.710557
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.705464
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.699088
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.697389
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.694267
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.692583
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.6898
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.69203
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.690527
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.691668
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.688274
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.689869
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.686765
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.684515
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.680978
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.678473
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.67788
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.67805
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.674358
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.670939
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.674243
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.671011
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.67392
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.676391
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.677258
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.670939

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06013
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03549
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.998109
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.974118
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.941115
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.920036
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.898387
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.881923
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.860939
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.843583
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.826925
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.812317
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805201
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.796719
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.788863
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.77851
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.772925
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.76953
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.766532
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.764794
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.759562
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.755153
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.753869
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.751724
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.753841
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.752781
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.750353
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.742778
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.742492
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.741052
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.741138
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.739152
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.736152
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.734233
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.738441
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.743632
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.738388
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.742896
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.74326
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.734233

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06803
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03951
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00143
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.979244
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.951621
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.927742
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.906349
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.893402
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875753
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.859756
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.840763
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.83183
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.819207
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.804532
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.793007
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.789237
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.782231
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.776758
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.769627
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.762506
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.758604
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.752378
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.748515
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.741094
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.738417
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.73406
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.728343
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.722208
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.718296
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712905
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.709118
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706497
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.704689
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.706157
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.703621
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.70607
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.702936
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.702381
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.699589
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.698522
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.694246
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.691124
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.692553
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.688492
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.689449
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.688949
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.687171
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.687739
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.690223
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.692538
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.690925
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.689743
Stopping. Best iteration:
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.687171

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05231
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01255
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.98632
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.95749
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.950254
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.918735
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.898498
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.881334
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.862423
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.843036
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.83084
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818262
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80405
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.793551
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.78461
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.780613
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.768671
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.757724
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.75207
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.748818
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.73822
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.733153
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.724905
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.719184
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.709182
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.707601
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.700854
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.700382
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.696103
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.693758
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.689943
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.682119
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.677882
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.67668
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.674087
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.66973
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.668447
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.668032
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.671058
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.667522
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.667629
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.660207
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.657332
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.655244
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.653126
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.650836
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.64999
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.648399
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.646503
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.648863
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.649582
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.649968
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.650287
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.654379
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.646503

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06502
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03449
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00059
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.967593
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939381
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918205
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.902348
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.887117
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.863319
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.850403
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.840568
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.829119
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.819256
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.811015
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.807723
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.798726
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.796082
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.792268
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.789778
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.788623
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.784735
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.781558
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.776168
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.770167
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.771775
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.769735
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.765907
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.763855
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.762114
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.757966
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.76038
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.763148
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.761156
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.759427
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.758287
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.757966

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.06201
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03428
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00276
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.973729
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.94188
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.91992
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.900526
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.885027
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.867232
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.855027
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.842741
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.829925
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.815903
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.802489
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.790233
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.784761
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.78158
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.776035
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.767206
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.758941
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.757991
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.756094
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.751557
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.74231
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.734667
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.731244
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.729401
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.725325
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.720735
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.71601
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.715206
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.714081
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.709541
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.714744
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.71165
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.711737
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.710875
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.711093
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.709541

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05466
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02071
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.991321
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.964263
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.935962
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.909668
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891435
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.879746
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.863576
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.851289
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.839156
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.819564
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.802146
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.78963
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.778637
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.769858
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.762435
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.7521
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.745207
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.73761
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.728643
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.724855
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.718456
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.717269
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.715043
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.708517
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.699953
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.695986
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.695703
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.69206
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.686815
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.681836
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.677734
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.671887
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.667873
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.669188
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.667055
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.665656
[38]	validation_0-merror:0.233333	validation_0-mlogloss:0.663519
[39]	validation_0-merror:0.233333	validation_0-mlogloss:0.66283
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.664658
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.664202
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.665384
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.66487
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.665038
Stopping. Best iteration:
[39]	validation_0-merror:0.233333	validation_0-mlogloss:0.66283

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0556
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02476
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.992998
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.970761
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.942362
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.919305
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.902205
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.891507
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87941
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.86739
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.855909
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.837979
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82482
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.813983
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.807756
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799233
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.790746
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.7877
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.783258
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.778506
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.774349
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.774181
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.770739
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.76683
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.765753
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.762834
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.764606
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.766509
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.765152
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.766316
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.769295
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.762834

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06775
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03876
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00624
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.987838
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.965804
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.93943
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.921878
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.906096
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.886383
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.870132
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.852672
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.837191
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.819887
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.806022
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.799096
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78794
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.773524
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.764355
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.758061
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.749567
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.744377
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.742286
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736624
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.728629
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.721858
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.719508
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.715228
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.710126
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.705729
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.703977
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.702833
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.705084
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.699007
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.696804
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.696293
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.694312
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.696365
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.698929
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.696153
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.695143
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.694426
Stopping. Best iteration:
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.694312

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06128
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.00054
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.973412
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.964505
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.938
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.918936
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900122
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.883182
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.866406
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.853462
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.838077
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.826451
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.816765
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.810692
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.809718
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.797864
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.785855
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.780304
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.774827
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.764014
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.756787
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.749344
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.7453
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.735124
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.737418
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.732049
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.729062
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.723893
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.722286
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.716298
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.713566
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.713655
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.711288
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.711901
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.709153
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.710808
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.706948
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.707732
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.70611
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.706644
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.702993
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.700212
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.698061
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.697325
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.695016
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.695666
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.692006
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.691
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.693522
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.695183
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.698685
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.699677
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.700022
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.691

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0433
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00694
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981277
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.947101
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.926704
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.908348
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.890279
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.871061
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.854727
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.83782
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.825091
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.820305
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.811733
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.804994
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.798056
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.791144
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.78634
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.779514
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.772206
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.766216
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.758763
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.757266
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.754356
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.753958
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.750941
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.748751
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.746622
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.743454
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.740494
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.743119
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.739832
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.738114
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.735156
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.738219
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.740429
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.735897
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.741165
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.740528
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.735156

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04078
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00238
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.981194
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95575
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.934158
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.912916
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.899184
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.882987
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.869163
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.847957
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.835131
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.822634
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808672
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.796924
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.795724
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.789409
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.782848
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.770354
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.765852
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.757909
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749238
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.74592
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.735983
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.735354
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.731637
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.726033
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.718839
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.718042
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.71336
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.708815
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.702793
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.703088
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.703493
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.700512
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.699773
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.69499
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.695433
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.692987
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.688895
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.683063
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.681063
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.682229
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.67755
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.676088
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.672706
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.674218
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.674956
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.679548
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.680304
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.677567
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.672706

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05034
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01168
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.988605
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.96075
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.953827
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.922889
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.901056
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.88199
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.866251
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847174
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.83223
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.81768
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.804641
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.795057
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.786376
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.782848
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773385
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.762892
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757938
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.752494
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.742248
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.737446
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.725462
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.720192
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.711409
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.709771
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.703832
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.703536
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.698737
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.696325
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.692514
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.685909
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.681405
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.678765
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.676196
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.669702
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.66872
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.668183
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.67052
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.662362
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.664795
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.659547
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.660642
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.659469
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.657497
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.654508
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.653087
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.650572
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.64677
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.647151
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.647698
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.648338
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.645586
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.649061
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.64954
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.652601
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.652527
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.652843
Stopping. Best iteration:
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.645586

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06286
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02999
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.999312
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.968047
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939353
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.921457
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.906352
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.887894
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.86446
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.850323
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.839423
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829522
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.821115
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.812818
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.806382
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.798127
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.795716
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.789545
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.783745
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783722
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.779152
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.776009
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.770797
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.768644
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.770424
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.767689
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.76341
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.760776
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.759848
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.759528
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.76157
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.765043
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.7627
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.762084
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.761426
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.759528

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06684
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03584
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00216
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.974032
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.945109
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.922019
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.904531
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.8895
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.87189
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.857432
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.843977
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.831937
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.818695
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.805914
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.796636
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.790858
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.786561
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.78004
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.772466
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.763918
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.761349
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.759882
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.753916
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.747263
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.744004
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.739378
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.738828
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.734323
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.732458
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.728777
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.728276
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.722389
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.714679
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.717458
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.713398
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.7145
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.713464
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.7125
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.711852
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.712857
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.707531
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.707029
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.708181
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.709098
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.712225
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.70945
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.705095
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.704629
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.706797
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.709967
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.708152
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.709701
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.70914
Stopping. Best iteration:
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.704629

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05723
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0229
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.991879
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965512
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.9378
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.912598
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.894811
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.884253
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.867934
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.853788
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.838787
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.81951
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.803027
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.794181
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.785586
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.777188
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.770062
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.759725
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.749567
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.740048
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.734373
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.73092
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.725901
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.723546
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.71921
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.712972
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.710988
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.705686
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.704203
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.698925
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.697329
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.695369
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.690747
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.685937
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.682171
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.682314
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.680224
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.678923
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.678243
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.676826
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.677639
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.677884
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.677372
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.677358
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.679491
Stopping. Best iteration:
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.676826

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0566
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02727
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998034
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.976857
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.944949
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.922753
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.909114
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900245
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.891627
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.879745
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.867337
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.856608
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.842837
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.831343
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.82499
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.820659
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.812021
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.807928
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.801231
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.797247
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.795771
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.79281
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.789402
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.785153
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.782704
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.779286
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.78363
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.782538
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.781461
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.780593
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.782092
Stopping. Best iteration:
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.779286

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06191
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03019
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.99857
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.979145
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955432
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.929194
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.914602
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.90251
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.884431
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.870324
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.852027
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.834231
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.81491
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.803306
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.795441
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.789449
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.776215
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.765949
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.759408
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.7507
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.74776
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.745193
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.737527
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.727266
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.719282
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.714876
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.709855
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.707221
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.701393
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.699812
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.697686
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.698982
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.694026
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.692546
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.687979
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.685574
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.686261
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.690007
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.687752
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.687839
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.68571
Stopping. Best iteration:
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.685574

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02722
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.997948
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.970705
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.961941
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.938157
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.919112
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901305
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.883326
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.86205
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.848291
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.834054
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.821136
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.807911
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.798127
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.796154
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.783637
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771769
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.76597
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.761333
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.751093
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.743935
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.741005
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.735172
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.724573
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.724001
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.716983
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.714229
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.708035
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.705058
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.702413
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.698347
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.697104
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.694986
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.694291
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.690187
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.690702
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.69223
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.695338
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.693222
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.695818
Stopping. Best iteration:
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.690187

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06375
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04047
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00608
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.980449
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.94697
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.928768
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.910607
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.894068
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.877111
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.861602
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.844272
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.832689
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.826288
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.817768
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.810948
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.80296
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.797743
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.789014
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.783108
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.775549
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772456
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.767812
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.766276
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.764023
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.762885
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.760962
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.759961
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.756241
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.753616
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.75178
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.751751
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.748484
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.74681
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.746489
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.74896
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.746411
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.743875
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.743283
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.743708
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.743628
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.741589
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.738639
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.738797
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.738545
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.740609
[45]	validation_0-merror:0.383333	validation_0-mlogloss:0.738396
[46]	validation_0-merror:0.383333	validation_0-mlogloss:0.738477
[47]	validation_0-merror:0.383333	validation_0-mlogloss:0.734911
[48]	validation_0-merror:0.383333	validation_0-mlogloss:0.73614
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.737092
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.733139
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.735015
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.734176
[53]	validation_0-merror:0.383333	validation_0-mlogloss:0.735091
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.742453
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.743954
Stopping. Best iteration:
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.733139

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06523
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.036
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.997275
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.976128
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.953391
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.928075
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.912442
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.898025
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.879379
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.867853
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.848636
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.835262
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.823755
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.809986
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.798561
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.7963
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.790348
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.785442
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.778575
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.774695
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.768924
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.764165
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.763678
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.75725
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.756774
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.754723
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.750724
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.743433
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.742153
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.737311
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.73359
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.730705
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.730612
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.730038
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.727965
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.726262
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.720826
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.721535
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.718807
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.716914
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.710795
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.708782
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.709878
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.705656
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.701329
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.694912
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.695493
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.696264
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.694735
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.6952
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.691539
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.690032
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.686249
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.687319
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.69195
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.690469
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.690769
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.692188
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.686249

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05087
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01291
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.986075
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957666
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.951163
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.924552
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.906555
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887541
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.870264
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.850973
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.836084
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822873
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.808811
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.799108
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790053
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78563
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776376
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.764783
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759485
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754391
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.745566
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740862
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.72866
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.720918
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.711945
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.709259
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.702884
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.702999
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.700311
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.699165
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.696031
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.690857
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.687703
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.684501
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.683425
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.678119
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.675835
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.672577
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.674549
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.672518
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.674634
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.670596
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.670838
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.670158
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.668301
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.665535
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.665333
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.664537
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.662989
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.660111
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.660814
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.663073
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.662428
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.66321
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.664925
Stopping. Best iteration:
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.660111

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06325
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02888
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998047
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.967664
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.93985
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.922295
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.90694
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.891517
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.869827
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.853677
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.840981
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.829354
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.823859
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.812922
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.806965
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799016
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.795451
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.788776
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.783508
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.779616
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775685
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.770242
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.766693
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.763076
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.764455
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.761719
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.757293
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.753319
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.7513
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.747894
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.749485
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.749875
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747836
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.748827
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.748645
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.748423
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.749199
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.751388
Stopping. Best iteration:
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747836

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03758
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00713
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.979684
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.958748
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.935964
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.916192
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.903202
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.88656
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.868668
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.855773
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.843898
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831214
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.819749
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.809787
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.803766
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.79874
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.790731
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.784751
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.775131
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.772815
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.769707
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.763582
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.7571
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.757272
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.750813
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.749958
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.744222
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.741212
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.737079
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.739318
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.73245
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.727988
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.729662
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.725519
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.726566
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.722812
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.722182
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.718385
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.719909
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.714609
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.714011
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.714622
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.714552
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.715948
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.712888
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.708154
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.707626
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.710459
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.715212
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.710101
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.711872
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.710169
Stopping. Best iteration:
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.707626

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05698
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02333
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.992456
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966524
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938681
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.913246
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.894652
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.882893
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.865348
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.851016
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.836256
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.817723
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.79636
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.782708
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.774438
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.76491
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.757171
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.748105
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.740313
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.731044
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.725556
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.722466
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.716383
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.712564
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.707773
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.700022
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.69986
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.694489
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.693922
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.688658
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.68736
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.683395
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.679192
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.675414
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.676445
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.676739
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.675881
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.67253
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.671616
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.672835
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.67169
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.670725
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.669468
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.66925
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.673483
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.670544
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.669001
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.668781
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.668266
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.66735
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.665952
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.670524
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.670297
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.668394
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.670771
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.671636
Stopping. Best iteration:
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.665952

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05944
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03035
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998894
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.981291
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950108
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.927489
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.91345
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.904166
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.893171
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.879296
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.866793
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.855413
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.842099
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.829158
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.821364
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.818161
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.810211
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.805115
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.799044
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.795604
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.791688
[21]	validation_0-merror:0.416667	validation_0-mlogloss:0.789947
[22]	validation_0-merror:0.416667	validation_0-mlogloss:0.786016
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.782466
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.779974
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.77745
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.774379
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.773001
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.772018
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.770344
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.773042
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.774746
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.774309
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.774678
[34]	validation_0-merror:0.416667	validation_0-mlogloss:0.774955
Stopping. Best iteration:
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.770344

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06516
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03183
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00109
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.981056
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.956325
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.927262
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.910804
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.899374
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.878783
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.863574
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.845229
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.826328
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.806138
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.794208
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.785966
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.778254
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.76507
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.753981
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.74716
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.738749
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.73379
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.730027
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.723005
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.715669
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.710893
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.706272
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.704424
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.699929
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.693892
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.692222
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.69242
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.692608
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.688736
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.686858
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.684644
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.684149
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.686425
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.687017
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.685912
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.682012
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.679838
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.679419
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.677611
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.677777
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.679303
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.679823
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.679902
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.679196
Stopping. Best iteration:
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.677611

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05651
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02071
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.992216
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.957775
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950468
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.925186
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.906782
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.891649
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.877336
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.855923
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.845004
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.831026
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.818219
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.807719
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.801755
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.803824
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.787482
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.777027
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.768757
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.760562
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.753758
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.744677
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.734556
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.725445
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.720377
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.718817
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.708661
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.705854
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.701446
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.69527
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.687628
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.684859
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.682153
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.68046
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.678469
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.675702
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.673208
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.664181
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.665973
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.662412
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.664595
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.664724
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.662664
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.663029
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.660931
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.660857
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.659376
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.657125
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.658277
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.660031
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.658938
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.661186
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.660588
Stopping. Best iteration:
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.657125

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05926
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.0348
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.995699
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970505
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.934639
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.91226
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.889104
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873316
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.853611
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.836484
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.821507
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.81047
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.807661
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.798651
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.793323
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.779562
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.774293
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.77295
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.77137
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.76572
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.762814
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.754319
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.754406
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.749216
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.74756
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.748012
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.743925
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.74063
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.736188
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.737631
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.737911
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.738756
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.739304
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.740247
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.736188

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06016
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.03244
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.993019
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.969097
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.936974
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.912577
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.900582
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.887473
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.872327
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.860782
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.846954
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.836538
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.823935
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813354
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797039
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.789293
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779941
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.774222
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.765551
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759801
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759716
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.757871
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754676
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.744323
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.742946
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.742409
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.733991
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.732073
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.728807
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.726151
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.724983
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.729042
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.730905
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.73569
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.737262
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.740562
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.724983

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05217
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01092
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.978245
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.950977
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.947549
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.917332
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.895488
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.881383
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.863655
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.846302
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.829584
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.819147
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.806717
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.792179
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.782722
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.778199
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.769532
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.761895
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.757153
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.750868
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.742361
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.736426
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.72431
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.718282
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.710953
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.711416
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.704227
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.705653
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.703016
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.70028
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.696323
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.690495
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.686327
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.68384
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.682515
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.679537
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.679861
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.683338
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.685979
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.683968
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.684215
Stopping. Best iteration:
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.679537

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06215
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0312
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.998146
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.969468
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.941398
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922226
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.899755
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.882734
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.858018
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.8458
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.83499
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.829051
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.819544
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.810573
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.804646
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.796254
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.794627
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.79222
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.787265
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.785604
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.782403
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.781193
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775633
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.772169
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.773703
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.773198
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.77085
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.772462
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.772152
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.769171
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.769092
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.771362
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.770732
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.764808
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.765551
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.767137
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.769329
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.773521
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.772056
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.764808

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06391
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03074
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.99971
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.97955
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.953723
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.941087
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.931134
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.922301
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.904539
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.892693
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.877532
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.863618
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.851086
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.84154
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.827087
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.824325
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.823752
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.816441
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.805636
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.799777
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.801976
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.799411
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.798838
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.79294
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.788355
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.786618
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.782416
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.781239
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.776638
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.77395
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.773049
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.773352
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.769736
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.769041
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.767345
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.768432
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.771519
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.770671
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.769212
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.768353
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.767345

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05236
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02008
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.989389
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.961264
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.925691
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.901569
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.885989
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.875407
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.858291
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.844884
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.834085
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.82119
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.798752
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.779738
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.770669
[15]	validation_0-merror:0.233333	validation_0-mlogloss:0.761608
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.752386
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.744738
[18]	validation_0-merror:0.233333	validation_0-mlogloss:0.73452
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.726168
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.72072
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.716503
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.7121
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.705715
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.701609
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.695084
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.69186
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.68795
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.686942
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.683016
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.679984
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.676226
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.674972
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.674129
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.669941
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.670964
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.668495
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.666961
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.66523
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.664223
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.665635
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.664082
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.661746
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.660805
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.659705
[45]	validation_0-merror:0.25	validation_0-mlogloss:0.659385
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.660952
[47]	validation_0-merror:0.25	validation_0-mlogloss:0.66059
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.663243
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.662117
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.661896
Stopping. Best iteration:
[45]	validation_0-merror:0.25	validation_0-mlogloss:0.659385

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03169
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00127
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.984494
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.961387
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.938144
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.926952
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.921094
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.906918
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.892968
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.880068
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.863925
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.848372
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.836208
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.828833
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.826452
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.817398
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.813114
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.812081
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.804052
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.806282
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.803141
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.80313
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.799362
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.799265
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.799887
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.802629
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.805015
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.806906
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.806657
Stopping. Best iteration:
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.799265

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05917
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03157
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.996893
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.975359
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.955212
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.929405
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.905911
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.897188
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.877688
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.858933
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.844744
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.836066
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.817695
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.808152
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.802334
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.797276
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.786746
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.778772
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.77709
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76951
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.762777
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.765349
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.762328
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.759396
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.752602
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.750134
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.752701
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.751138
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.745824
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.748282
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.751722
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.757565
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.758386
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.76012
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.745824

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.05608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02177
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.994827
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.967115
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.9583
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.936761
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.918779
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.900128
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.882655
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.865107
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.854995
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.843574
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.833992
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.82488
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.817571
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818432
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.807879
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.796659
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.79097
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.783217
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.774487
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.766915
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.757931
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.751885
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.743002
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.74029
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.731529
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.729925
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.721165
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.716339
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.707433
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.701042
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.699545
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.695548
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.694777
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.691076
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.689141
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.685081
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.685467
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.685584
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.686758
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.685126
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.681459
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.681555
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.678197
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.676578
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.678845
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.675233
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.673055
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.675984
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.672753
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.674073
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.67494
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.674736
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.673444
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.672286
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.671476
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.669195
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.671221
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.676648
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.675893
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.676688
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.676148
Stopping. Best iteration:
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.669195

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05957
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03881
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00193
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.978804
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.94422
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922284
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.900749
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.884881
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.865678
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.850267
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.833026
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.818822
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.813264
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.806195
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.797694
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.784022
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.77631
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.774251
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.773552
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.767298
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.765057
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.761652
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.759865
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.758718
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.756794
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.754541
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.753347
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.75191
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.752234
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.747833
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.750254
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.750939
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.751494
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.752259
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.755912
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.747833

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0598
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03232
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.994629
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.977949
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.946766
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.924229
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.90589
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.893542
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.878989
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.868804
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.851265
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.844689
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.830387
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.814783
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.798778
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797614
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.788343
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.781729
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.773837
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.767397
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.764343
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.759749
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.756274
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.74802
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74733
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.744917
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.73927
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.732859
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.727385
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.72407
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.723539
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.72538
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.727209
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.728995
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.729964
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.736746
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.723539

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05104
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01048
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.976491
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.947668
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.94507
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.915428
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.894178
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.876514
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.857032
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.838731
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.821786
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.809087
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.796491
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.782263
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.774933
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.770316
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.761007
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.748767
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.742441
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.738481
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.728529
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.722496
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.714363
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.708441
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.702012
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.700643
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.693235
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.694183
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.689453
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.688668
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.684214
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.678453
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.675614
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.672212
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.669378
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.667022
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.669048
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.667801
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.670582
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.670112
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.671392
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.667022

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.06304
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02974
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.998647
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.968073
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.934903
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.914562
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.895026
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.882586
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.860685
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.848482
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.836707
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.828109
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.820352
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.811193
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.80577
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.79518
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.795469
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.792224
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.788061
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.787989
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.786872
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.784858
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.780182
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.774946
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.775554
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.772632
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.767883
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.766065
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.770298
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.766597
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.768179
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.77194
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.773053
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.766065

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06175
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03352
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.0021
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.97937
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.949423
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932323
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.914127
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.897903
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.87885
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.866528
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.854834
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.841396
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.826285
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.815805
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800789
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.796024
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.791816
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.784842
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.778243
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.770104
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.770944
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.770587
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.765723
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.759572
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.754465
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.752026
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.747827
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.745571
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.741207
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.737182
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.739418
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.740657
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.736405
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.74262
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.740959
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.742678
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.740906
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.737695
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.736405

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05441
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02269
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.989159
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.963795
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932488
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.908004
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.891875
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.880542
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.862899
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.851434
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.841691
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.829207
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.807343
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.792122
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.783994
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.777278
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.766186
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.757744
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.750342
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.743105
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.73742
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.732187
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.725444
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.721245
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.715376
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.709828
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.7076
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.703268
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.701969
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.69853
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.691734
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.693056
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.691278
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.68746
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.685107
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.686667
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.688377
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.687379
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.68544
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.686075
Stopping. Best iteration:
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.685107

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05652
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03029
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.99833
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.980238
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.956877
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.935691
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.920885
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.911256
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.900605
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.891619
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.87985
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.862665
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.847866
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.835332
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.827113
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.819432
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.810422
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.802648
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.795589
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.79004
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.788207
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.785274
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.782875
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.77992
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.779682
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.777065
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.778826
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.777948
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.773612
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.774656
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.776673
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.775843
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.77642
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.777748
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.773612

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05961
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03271
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.999299
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.978871
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.955492
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.931184
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.916039
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.903079
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.884371
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.868511
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.855083
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.838351
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.819318
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.805318
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.799127
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788893
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.78287
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.77897
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.77028
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.764316
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.758914
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.759562
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754429
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.747446
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.740194
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.734863
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.732328
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.728768
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.724345
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.722562
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.721206
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.722782
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.720939
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.719551
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.716567
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.716035
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.721337
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.722504
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.71856
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.717996
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.71745
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.716035

[0]	validation_0-merror:0.533333	validation_0-mlogloss:1.05945
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02883
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.998949
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.973125
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.963525
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.940033
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.922705
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.905789
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.889759
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.873089
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.862343
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.850246
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.83824
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.829613
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.821952
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.819905
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.807868
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.795566
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.790391
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.784029
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.775045
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.76735
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.760274
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.752959
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.744322
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.742972
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.733644
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.724887
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.718968
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.714173
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.709735
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.703275
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.702771
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.697173
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.69631
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.693775
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.694034
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.692035
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.693588
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.690252
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.692112
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.69229
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.690108
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.687241
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.68821
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.687703
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.688714
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.68682
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.683681
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.687164
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.683855
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.687305
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.688789
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.689722
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.683681

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06013
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03415
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997853
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976479
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.943022
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922599
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.906097
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.891193
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.871964
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.854741
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.837654
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.828813
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.824874
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.815406
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810119
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.799043
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.791745
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.787402
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.783232
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.778704
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772901
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.768631
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767783
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.767931
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.770282
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.77018
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.76747
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.762155
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.761708
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.759302
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.760494
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.760248
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.754231
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.750816
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.754409
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.757458
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.752641
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.75677
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.756404
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.750816

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06748
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03756
[2]	validation_0-merror:0.25	validation_0-mlogloss:1.00065
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.978416
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952568
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.926853
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.90648
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.893924
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.880367
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.868668
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.849841
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.840843
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.827911
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813461
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.80064
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.798187
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.789988
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.785103
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.777815
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.769755
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.765195
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.7582
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754124
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.746359
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.743505
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.738993
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.733723
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.729271
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.728857
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.724384
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.719726
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.716107
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.71439
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.714825
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.712195
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.712394
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.708961
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.708744
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.705884
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.703951
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.697862
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.694695
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.696317
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.692888
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.692943
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.692675
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.691403
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.691295
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.694339
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.696065
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.693417
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.692822
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.688769
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.688003
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.69078
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.689291
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.689674
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.687429
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.686557
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.689748
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.692307
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.693321
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.697552
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.696725
Stopping. Best iteration:
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.686557

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05177
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01242
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984308
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.95774
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.952146
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.919883
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.899
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.881341
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.861651
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.844323
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.831745
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.818009
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.804487
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.789683
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.781286
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.777468
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.765621
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.755027
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.749843
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.745926
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.735034
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.730198
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.722121
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.716492
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.708848
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.706745
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.700852
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.700919
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.695419
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.6926
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.6897
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.682394
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.678464
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.67765
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.675168
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.670863
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.671008
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.666055
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.668235
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.665281
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.664827
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.661779
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.6581
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.655348
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.652896
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.650707
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.649554
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.649462
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.648724
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.650554
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.651866
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.653578
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.653001
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.657122
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.648724

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0633
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03482
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00185
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.968189
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.93654
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.914361
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.897808
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.884317
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.859847
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.845624
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.833663
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824021
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.816214
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.806432
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.804173
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.796223
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.793869
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.789
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.785011
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.784585
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.780109
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.777711
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.771554
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.765908
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.766672
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.766389
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.763502
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.762253
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.761549
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.759961
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.762676
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.765937
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.767402
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.764994
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.766873
Stopping. Best iteration:
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.759961

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06282
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03521
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00513
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976049
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.943728
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.920807
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.899771
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.885038
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.870776
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.857215
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.841255
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.829279
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.816161
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.804154
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.790519
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.787776
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.781836
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.77592
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.769266
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.762754
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.761946
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.759012
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.753339
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.747717
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.744598
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.742526
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.74061
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.737511
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.734122
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.727322
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.731382
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.729286
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.725286
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.728944
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.727579
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.729954
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.729388
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.728921
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.725286

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05556
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02263
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992971
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.967206
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.938372
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.914233
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.896038
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887484
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867519
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856303
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.844158
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.826788
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.80951
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.798579
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788383
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.777169
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.766193
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.757681
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.747999
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.740489
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.732742
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.728619
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.723523
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.716107
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.711327
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.706387
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.700827
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.696538
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.69435
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.689096
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.685114
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.683917
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.683636
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.681905
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.681136
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.67921
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.674908
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.672182
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.66944
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.669708
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.67063
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.668497
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.668111
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.668826
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.672164
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.673082
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.675402
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.675923
Stopping. Best iteration:
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.668111

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05932
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0322
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999209
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.98164
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957161
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.935583
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.919689
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.91094
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.899626
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.887816
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.878357
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.8627
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.847875
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.837924
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.831795
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.820815
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.812984
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.810497
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.804372
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.799601
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.794001
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.789963
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.785062
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.780883
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.778905
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.777057
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.776711
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.778443
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.777503
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.777902
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.781343
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.781825
Stopping. Best iteration:
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.776711

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06378
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03443
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00106
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981474
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.958474
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.935459
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.921147
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.905983
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.885935
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.868829
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.851982
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.836749
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.816496
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.804051
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.796032
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784449
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.772612
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.766031
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.761326
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753864
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.750628
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750033
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.74284
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.735285
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.728317
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.725114
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722776
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.718382
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.712695
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707771
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.706844
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.709126
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.70504
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.703687
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.700561
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.697897
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.701701
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.705047
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.701869
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.701027
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.699336
Stopping. Best iteration:
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.697897

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06128
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998155
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.97198
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.963255
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.936808
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.916906
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.901681
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.884895
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.868043
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.855961
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.841163
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.828361
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.813505
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.807719
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.805514
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.794623
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.782339
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.777493
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.771185
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.761597
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.753661
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.746223
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.742659
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.731972
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.734208
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.727665
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.724355
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.719395
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.716264
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.712104
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.708834
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.707597
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.704052
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.703888
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.701849
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.703333
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.699876
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.700574
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.699169
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.702338
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.702969
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.699607
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.697454
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.696819
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.694184
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.694953
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.691499
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.69112
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.693882
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.692762
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.69516
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.696303
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.697906
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.69112

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0433
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00694
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982505
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950282
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.930232
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.912027
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.893356
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.875739
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.859979
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.843003
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.834284
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.829826
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.820621
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.814578
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.807446
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.801178
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.794287
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.786938
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.780647
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775567
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.770251
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.768868
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.766317
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.765815
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.763526
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.761959
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.759894
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.756707
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.753818
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.756414
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.753003
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.750799
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.749633
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.752733
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.754987
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.750059
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.75529
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.754775
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.749633

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04078
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00238
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.981194
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95575
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932988
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.911779
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.898839
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.883967
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.871379
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.850158
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.837276
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.824341
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.810359
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798667
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797044
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.790819
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.784277
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.770785
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.766859
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.760215
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.751431
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.747926
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.7381
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.73736
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.733535
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.729559
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.723926
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.72314
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.71844
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.714253
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.708137
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.70799
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.709011
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707276
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.706355
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.700127
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.701094
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.699127
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.695226
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.689442
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.687469
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.688799
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.68435
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.682504
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.679253
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.680733
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.681554
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.684459
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.685089
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.684996
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.679253

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01295
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.988025
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.957233
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.94965
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.918303
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896728
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.879474
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.863855
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.844755
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.831029
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.817524
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.805428
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.796241
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.787866
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.785844
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.772444
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.761383
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.754833
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.749236
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.739772
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.736891
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.725713
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.72065
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.711995
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.710235
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.703104
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.701987
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699213
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69569
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.693228
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.687002
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.681821
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.679047
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.676591
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.671338
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.670233
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.670372
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.672001
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.670596
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.672671
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.669956
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.670628
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.669155
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.667375
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.665467
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.664889
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.662342
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.660796
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.661856
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.662459
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.66317
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.659958
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.661983
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.6626
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.666497
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.66703
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.667496
Stopping. Best iteration:
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.659958

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06286
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02836
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.998322
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965495
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.933589
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.914533
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.899425
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.88315
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858277
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.843827
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834865
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.825773
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.819312
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.810534
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.805736
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.794657
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.791225
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.785293
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.78413
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.782354
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.77738
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.774266
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.768792
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.766051
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.76668
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765716
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.761013
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.758976
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.7568
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.756232
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.755765
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.757264
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.755776
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.756161
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.757466
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.757503
Stopping. Best iteration:
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.755765

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06684
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03587
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.0028
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.974672
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.945733
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.922153
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.901366
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.886222
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.868144
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.853888
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.83925
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.829683
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.815269
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.803176
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.795313
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.792514
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.788104
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.782168
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.775101
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.766602
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.763768
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.760858
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.753236
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.746308
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.741679
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.737214
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.735241
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.730278
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.728179
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.724412
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.725508
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.719347
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.714446
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.7207
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.716649
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.7189
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.717369
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.717063
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.714446

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05701
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02398
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.992874
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.968517
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.93915
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.913996
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.895567
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.884729
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.864029
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.851389
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.837008
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.82138
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.802415
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.788839
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.779688
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.771323
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.764583
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.75507
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.745148
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.737635
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.731749
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.728151
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.723453
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.719022
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.719427
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714844
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.70868
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.706982
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.705597
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.701799
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.701418
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.695069
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.692742
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.690895
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.689891
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.689538
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.689736
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.69048
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.690697
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.690442
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.692563
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.689538

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05951
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03143
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00236
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.982724
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.952863
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.932449
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.917917
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.912434
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.901447
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.889413
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.877697
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.867225
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.853538
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.841599
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.833886
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.82383
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.815915
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.812726
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.809548
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.806247
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.804575
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.801991
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.798178
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.795213
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.79374
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.79294
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.794761
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.794608
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.794246
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.792916
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.794819
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.793703
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.793407
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.795801
[34]	validation_0-merror:0.416667	validation_0-mlogloss:0.795176
Stopping. Best iteration:
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.792916

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06191
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02894
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996977
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976566
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.953924
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.927284
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.911672
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.898574
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.880263
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.865802
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.847683
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.830406
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.816605
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.805445
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.800048
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.790307
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.775443
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.766363
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.761658
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.753642
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.750227
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.74946
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.742576
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.730914
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.724819
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.724059
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.723911
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.718178
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.710801
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.704855
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.70369
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.70402
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.700153
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.698795
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.697829
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.69637
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.695768
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.698595
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.697416
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.697321
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.694438
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.695171
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.693498
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.694579
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.693422
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.693622
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.695431
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.6935
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.692936
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.692817
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.697174
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.700212
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.699968
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.699581
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.69951
Stopping. Best iteration:
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.692817

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02722
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.997948
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.970705
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.961941
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.9397
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.920732
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.903054
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.885064
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.863768
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.849446
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.835202
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.822291
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808938
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799208
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.797243
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.784825
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773068
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.769364
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76459
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754404
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.747132
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.744144
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.738359
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.727927
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.728342
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.721475
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.717495
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.711337
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.710363
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.703428
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.699035
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.701279
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.698429
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.697892
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.69385
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.694352
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.696479
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.699712
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.698955
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.701705
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.69385

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06375
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04047
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00608
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981779
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.9492
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.93103
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.912571
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.896369
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879496
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.864411
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.847031
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.83707
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.830685
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.818983
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811782
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.805294
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800029
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.79147
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.787205
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.780583
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.77761
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.772928
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.771521
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.769392
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.768246
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.766647
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.765611
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.763801
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.761679
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.759776
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.759461
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.757092
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.75557
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.75528
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.757867
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.755336
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.752903
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.752678
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.752897
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.75517
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.752922
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.749843
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.750001
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.748588
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.750664
[45]	validation_0-merror:0.383333	validation_0-mlogloss:0.749048
[46]	validation_0-merror:0.383333	validation_0-mlogloss:0.74998
[47]	validation_0-merror:0.383333	validation_0-mlogloss:0.74632
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.747384
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.747976
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.743656
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.745552
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.74346
[53]	validation_0-merror:0.383333	validation_0-mlogloss:0.744336
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.751771
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.751725
[56]	validation_0-merror:0.383333	validation_0-mlogloss:0.750845
[57]	validation_0-merror:0.383333	validation_0-mlogloss:0.749291
Stopping. Best iteration:
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.74346

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06523
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.036
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.997275
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.976128
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.953391
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.928635
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.912104
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.897746
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.879096
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.866507
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.847307
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.835332
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.823825
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.809366
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.797946
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.796621
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.790818
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.785912
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.779308
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.775553
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.769615
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.764531
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.764137
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.758322
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.757782
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.755616
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.751571
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.744242
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.742327
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.738251
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.734558
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.731653
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.73157
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.730992
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.728974
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.727281
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.7219
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.722564
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.719756
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.717856
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.711818
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.710075
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.711109
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.706325
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.702052
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.696144
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.697531
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.69827
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.69665
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.697052
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.693268
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.691702
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.68787
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.688851
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.694256
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.692705
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.693064
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.692004
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.68787

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05087
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01395
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985301
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957111
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.948227
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92046
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904348
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885477
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.868843
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.848113
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.83472
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822391
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808854
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.799276
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.791457
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787348
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776496
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.764623
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759378
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753922
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.74619
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.742924
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.731119
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.723651
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.715489
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.712018
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.706632
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.70642
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.703571
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.702152
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.699429
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.696043
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.691948
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.690221
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.689801
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.683827
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.681665
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.678507
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.680688
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.675852
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.67751
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.674783
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.6748
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.673668
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.672472
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.669512
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.668267
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.666726
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.664826
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.664305
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.664888
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.666031
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.665366
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.668094
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.670135
Stopping. Best iteration:
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.664305

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06325
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02743
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.997719
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.96766
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.938281
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.919895
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.904793
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.889465
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.867887
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.85311
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.840561
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.829136
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.822779
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.813863
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.809174
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.801009
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.797411
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792443
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.787186
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783661
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.78137
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.776054
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.772383
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.769235
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.769253
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.766554
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.763314
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.75946
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.756018
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.752785
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.753422
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.754006
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.753142
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.753916
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.752893
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.752785

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03758
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00792
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.980427
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.959445
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.936573
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.917104
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.904062
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.887424
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.869496
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.856532
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.844657
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.830726
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.819126
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.810698
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.80662
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.801699
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.794237
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.788857
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.77987
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.777168
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.775522
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.769624
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.764332
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.764682
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.757921
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.758072
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.751985
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.748964
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.744584
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.746986
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.74028
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.735328
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.737029
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.732953
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.732048
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.728713
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.727555
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.726002
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.726012
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.722176
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.721457
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.722093
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.722655
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.722426
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.719651
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.715191
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.715452
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.716179
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.722386
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.720718
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.721341
Stopping. Best iteration:
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.715191

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02436
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.99328
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.968135
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.940071
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.916317
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.896191
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.883045
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.861279
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.847821
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.833967
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.816653
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.797655
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.784231
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.775744
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.764884
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.756875
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.747904
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.737788
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.728753
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.72246
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.719215
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.712162
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.709225
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.707351
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.69969
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.694452
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.690064
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.68873
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.685091
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.683893
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.679425
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.676504
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.675028
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.676894
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.674961
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.674995
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.67346
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.674099
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.673503
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.675601
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.675443
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.675257
Stopping. Best iteration:
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.67346

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0592
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03144
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00093
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.984809
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.956824
[5]	validation_0-merror:0.45	validation_0-mlogloss:0.934306
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.920305
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.913825
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.903685
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.889801
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.876903
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.866438
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.853249
[13]	validation_0-merror:0.416667	validation_0-mlogloss:0.840597
[14]	validation_0-merror:0.416667	validation_0-mlogloss:0.832552
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.821148
[16]	validation_0-merror:0.416667	validation_0-mlogloss:0.81386
[17]	validation_0-merror:0.416667	validation_0-mlogloss:0.810781
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.807682
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.805767
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.801726
[21]	validation_0-merror:0.416667	validation_0-mlogloss:0.799529
[22]	validation_0-merror:0.416667	validation_0-mlogloss:0.795699
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.791682
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.78906
[25]	validation_0-merror:0.416667	validation_0-mlogloss:0.786757
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.785312
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.784469
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.783273
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.783329
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.784714
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.785127
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.785577
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.786109
Stopping. Best iteration:
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.783273

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06516
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03014
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999491
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.979398
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954726
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.92553
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.909874
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.90023
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.880552
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.863896
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.845438
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.828423
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810754
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.796963
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.789502
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.782149
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.768248
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.758832
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.755954
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.747153
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.740003
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.739745
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.733705
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72809
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.721822
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.716535
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.715838
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.713636
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.707505
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.704261
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.704396
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706039
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.703605
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70112
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.700727
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.701967
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.703851
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.701946
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.700209
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.698557
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.696788
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.696199
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.693943
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.69144
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.694514
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.696137
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.695851
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.695569
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.69497
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.69144

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05651
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02084
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.992353
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.957666
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.949942
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.925773
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.906257
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.892513
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.877339
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.858854
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.8484
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.83568
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.821664
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.811741
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.804345
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.806299
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.791973
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.781386
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.773185
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.76595
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.759156
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.748963
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.739516
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.730817
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.72569
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.725452
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.714266
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712781
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.708209
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.701454
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.694572
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.689004
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.687829
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.685916
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.683505
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.681841
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.67852
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.670455
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.671681
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.668964
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.669135
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.669502
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.667583
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.668302
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.666526
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.661589
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.659886
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.657857
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.657517
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.659673
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.657855
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.661396
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.662064
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.664934
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.657517

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05926
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03475
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.995665
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969714
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938071
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.915799
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.892752
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.878402
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.858954
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.839499
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.825461
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.815719
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.81438
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.806393
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.801793
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.789303
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.783879
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.781819
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.780004
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.77425
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.773951
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.764718
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.766456
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.761469
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.759349
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.760143
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.756155
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.750203
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.746604
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.747775
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.749272
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.751744
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.746903
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.75014
Stopping. Best iteration:
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.746604

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06024
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.03253
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.993413
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.969544
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.936784
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.913149
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.901183
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.88803
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.872851
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.860851
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.846996
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.836651
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.824655
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.814039
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797204
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.790662
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.780897
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.777021
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.76888
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762954
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.762302
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.762339
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.75822
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.747513
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.746349
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.743697
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.735358
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.734324
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.731614
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.728994
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.72815
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.73213
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.733242
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.737982
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.739817
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.743502
Stopping. Best iteration:
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.72815

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05185
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01174
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.97915
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.951158
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.950288
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.921219
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.902654
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.890228
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.87312
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856622
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.838741
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.832281
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.819157
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.804183
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.796022
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.793748
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.785592
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.778273
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.774183
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.768213
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.76104
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.755499
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.746464
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.736056
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.727653
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.728491
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.722306
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.722927
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.719896
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.718602
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.715609
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.712165
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.708192
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.71119
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.709919
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.706102
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.706681
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.706541
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.709352
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.70606
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.705078
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.701944
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.69859
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.69723
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.694547
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.695778
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.695257
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.697765
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.696756
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.696617
Stopping. Best iteration:
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.694547

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06159
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03412
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00581
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976009
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.948848
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.93094
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.910454
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.893997
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.870611
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.858901
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.850642
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.845118
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.837247
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.827228
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.821655
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.809291
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.810186
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.809825
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.803383
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.799925
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.794396
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.791486
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.790245
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.788303
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.790103
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.791295
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.788366
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.787791
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.787195
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.782919
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.779277
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.78053
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.779313
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.779928
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.783975
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.786024
Stopping. Best iteration:
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.779277

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.0643
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03118
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00112
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.981063
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.95535
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.945189
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.935896
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.927568
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.909301
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.899111
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.883755
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.869922
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.858224
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.850245
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.834621
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.832888
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.830249
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.82339
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.812116
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.805212
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.807255
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.804303
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.803854
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.799165
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.796663
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.795367
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.791827
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.791207
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.785324
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.781508
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.779511
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.776896
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.773561
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.774022
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.775398
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.776643
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.778904
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.782086
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.773561

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05284
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02251
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.992021
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.963818
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.929162
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.904292
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.889659
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.877797
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.859536
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.847159
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.838014
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.822096
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.799404
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.781442
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.773395
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.762745
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.753884
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.748135
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.738315
[19]	validation_0-merror:0.233333	validation_0-mlogloss:0.726888
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.72089
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.717674
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.714981
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.708859
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.706213
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.702398
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.702499
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.697384
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.696422
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.690364
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.687628
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.685366
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.680202
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.677109
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.67554
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.673133
[36]	validation_0-merror:0.233333	validation_0-mlogloss:0.672172
[37]	validation_0-merror:0.233333	validation_0-mlogloss:0.672158
[38]	validation_0-merror:0.233333	validation_0-mlogloss:0.671328
[39]	validation_0-merror:0.233333	validation_0-mlogloss:0.670644
[40]	validation_0-merror:0.233333	validation_0-mlogloss:0.669903
[41]	validation_0-merror:0.233333	validation_0-mlogloss:0.668663
[42]	validation_0-merror:0.233333	validation_0-mlogloss:0.665334
[43]	validation_0-merror:0.233333	validation_0-mlogloss:0.667584
[44]	validation_0-merror:0.233333	validation_0-mlogloss:0.666168
[45]	validation_0-merror:0.233333	validation_0-mlogloss:0.664546
[46]	validation_0-merror:0.233333	validation_0-mlogloss:0.667742
[47]	validation_0-merror:0.233333	validation_0-mlogloss:0.669292
[48]	validation_0-merror:0.233333	validation_0-mlogloss:0.668868
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.667262
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.667503
Stopping. Best iteration:
[45]	validation_0-merror:0.233333	validation_0-mlogloss:0.664546

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05706
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03118
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00545
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.989167
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.959565
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935353
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.923424
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.919642
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.905379
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.893658
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.881632
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.868845
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.85238
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.84204
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.835656
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.828337
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.820739
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.817933
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.816679
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.812466
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.814257
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.811519
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.811147
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.806353
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.803138
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.799183
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.802208
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.806585
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.805952
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.80785
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.81151
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.799183

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05844
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03271
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997571
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.975125
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.952802
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.927326
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.903705
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.894361
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.873126
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855398
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.844157
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.837671
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.818661
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.806482
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.800569
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.796087
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.785182
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.780168
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.775564
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.768359
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760333
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.765087
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.760499
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.757319
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.751329
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.748242
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.745107
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.74622
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.741173
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.742459
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.742615
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.746582
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.746909
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.744924
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.741173

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.05608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02177
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.994827
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.967115
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.9583
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.936804
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.91881
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.90014
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.882674
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.865
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.854891
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.843829
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.835111
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.82598
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.818189
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818998
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.809084
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.799381
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.79388
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.786573
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.777546
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.770938
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.761532
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.755404
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.746545
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.745915
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.735733
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.734935
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.727569
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722627
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.71354
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706973
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.706104
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.706362
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.702123
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.70196
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.700581
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.696536
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.696741
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.69776
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.699106
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.697648
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.692166
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.688531
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.688404
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.687164
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.687888
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.685006
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.683239
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.684886
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.682716
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.682992
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.683219
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.682919
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.681381
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.68022
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.67943
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.677157
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.678863
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.683181
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.681451
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.682255
[62]	validation_0-merror:0.316667	validation_0-mlogloss:0.684038
Stopping. Best iteration:
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.677157

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05957
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03881
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00193
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.979628
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.94397
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922232
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.900774
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.881986
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.86289
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.847427
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.830212
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.815756
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.810478
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.803285
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.794654
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.781822
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.773541
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.77059
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.76938
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.763027
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.759844
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.75765
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.755998
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.754386
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.752225
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.749943
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.748684
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.74774
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.749256
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751361
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.755445
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.755573
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.756312
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.74774

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0598
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03232
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.994629
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.977949
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.946766
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.923685
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.9054
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.89301
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.878529
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.8636
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.846293
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.839472
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.826066
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.810911
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.795864
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.794524
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.78596
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.781717
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.773506
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.768011
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.764908
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.763102
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.760666
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.750063
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.749551
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.747799
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.741513
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.735218
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.729861
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.726596
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.725751
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.725971
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.726255
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.72802
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.731147
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.737888
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.725751

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05104
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0116
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.97764
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.948325
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.94724
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.917757
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.902099
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.883734
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.864882
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846839
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.829863
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.817832
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.805951
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.791713
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788338
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.785004
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774136
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.762174
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.75457
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.750008
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.742457
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.73584
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.725727
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.721677
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.715251
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714477
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.706315
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.705905
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.700537
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.700929
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.697524
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.690542
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.686859
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.688541
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.68595
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.683421
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.684746
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.684695
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.687701
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.685694
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.685507
Stopping. Best iteration:
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.683421

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.064
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03171
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.998351
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965593
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.936256
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.916139
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.897933
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.884698
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.862883
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.852324
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.842027
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.834515
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.827934
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815811
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.809588
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.799848
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.801613
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.797053
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.79222
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.791372
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.790921
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.788552
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.783427
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.777482
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.777742
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.776327
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.771816
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.771768
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.77399
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.773727
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.774287
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.776029
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.777918
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.771768

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06206
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03383
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00241
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.979625
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.949684
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.934865
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.914893
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.901444
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.882932
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.869478
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.857812
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.845241
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.830901
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.820047
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.804844
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.800157
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.795099
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.788149
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.780017
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.774469
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.776779
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.776308
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.773385
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.767389
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.765054
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.76331
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.757773
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.755807
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.751336
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.748546
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.749475
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.750492
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.74698
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.750575
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.749989
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.751751
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.750678
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.749152
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.74698

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05602
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02459
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.993577
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.969963
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.939712
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.917627
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.903038
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.892382
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.872062
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.861517
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.851983
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.840274
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.820584
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.80624
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.798947
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.792599
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.782749
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.773092
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.762813
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.75284
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.746743
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.743276
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.736498
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.731009
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.72935
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.727196
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.723137
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.719928
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.717403
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.710316
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.704566
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.704623
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.700123
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.69749
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.696243
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.69601
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.694685
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.693926
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.69145
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.690922
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.691471
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.689811
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.6876
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.688275
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.688601
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.690176
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.690438
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.691537
Stopping. Best iteration:
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.6876

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05611
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02917
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998436
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.980852
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.960142
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.938013
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.922708
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.91425
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.902261
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.889046
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.87676
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.864939
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.851255
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.834464
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.824326
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.813131
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.804078
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800506
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79765
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.792063
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.789742
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.786564
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.785228
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.781341
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.780258
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.776858
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.775821
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.776544
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.773366
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.774491
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.77775
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.779609
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.781123
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.7825
Stopping. Best iteration:
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.773366

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05961
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03381
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00048
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.9803
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.954233
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.929911
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.914893
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.903533
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.885065
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.869809
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.855513
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.839275
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.818957
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.806014
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.800324
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.787855
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.779746
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.777101
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.769943
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.764504
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.758558
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.756226
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.751356
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.744726
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.739584
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.734158
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.731096
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.728463
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.72497
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.723768
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.722645
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.724036
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.722678
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.722773
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.719385
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.718965
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.719898
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.721089
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.718496
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.717418
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.71606
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.716643
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.716395
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.716087
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.71674
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.717695
Stopping. Best iteration:
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.71606

[0]	validation_0-merror:0.533333	validation_0-mlogloss:1.05945
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02883
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.998949
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.973125
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.963525
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.939445
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.922102
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.905357
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.889331
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.872746
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.863609
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.851556
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.839269
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.830792
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.823285
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.821193
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.809308
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.797099
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.792486
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.787845
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.777041
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769186
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.759424
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.75205
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.743367
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.742091
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.732882
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.725206
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.720006
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.715149
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.710603
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.703533
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.702669
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.699285
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.698617
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.696415
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.69662
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.694463
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.695803
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.692438
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.694203
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.693783
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.691626
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.688667
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.686114
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.685544
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.686289
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.682828
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.679934
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.682243
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.677502
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.680952
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.683545
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.683074
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.682599
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.682092
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.677502

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06013
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03415
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997853
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976479
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.943207
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922781
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.906268
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.891363
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.872093
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854906
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.838671
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.82972
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.825114
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.81348
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.808149
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.797044
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.789705
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.785351
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.781263
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.777484
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.771993
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.766505
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.765296
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.764846
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.765652
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.764796
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.761973
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.755054
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.754605
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.752627
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.753847
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.753408
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747746
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.74719
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.7524
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.758674
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.753893
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.758057
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.757604
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.74719

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06748
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03756
[2]	validation_0-merror:0.25	validation_0-mlogloss:1.00065
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.978416
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952568
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.926401
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.905237
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.8927
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.879137
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.864739
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.845981
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.837165
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.824417
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809696
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797039
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.794575
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.787029
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.782275
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.775048
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766706
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.758519
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.752915
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.748863
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.741904
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.73896
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.734521
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.729401
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.724956
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.724657
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.720158
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.71554
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.712383
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.710745
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.710748
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.709887
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.712455
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.709817
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.70883
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.705949
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.705491
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.700094
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.697062
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.698578
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.694713
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.695259
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.694951
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.694529
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.694954
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.698082
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.698162
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.695914
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.694765
Stopping. Best iteration:
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.694529

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05177
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01242
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984308
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.95774
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.95461
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.92309
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.906222
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.888525
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.867655
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.850302
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.837829
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.823542
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.810956
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.795618
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789224
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786533
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.775986
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765262
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.7603
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.755533
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.745509
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740622
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.732139
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.726949
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.719798
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.717803
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.711962
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712043
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.706606
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.70375
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.700232
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.693221
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.689297
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.68601
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.683734
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.680778
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.679485
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.675386
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.677316
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.674739
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.674457
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.670414
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.671981
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.669696
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.666949
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.664569
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.662972
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.662811
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.660084
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.660828
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.662156
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.664157
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.663667
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.667898
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.660084

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06264
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0343
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00325
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.973945
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.943682
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.92148
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.906396
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.892577
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.867957
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.851628
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.842011
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.833591
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.826173
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.816248
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.813256
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.802098
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.79921
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.793967
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789524
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.78836
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.784366
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.781224
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.776536
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.773878
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.773709
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.77345
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.769571
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.768918
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.769413
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.768335
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.768335
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.770512
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.77212
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.770835
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.772782
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.768335

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06282
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03521
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00513
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976049
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.943728
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.920807
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.901343
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.88661
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.871389
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.857287
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.841322
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.828899
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.815701
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.803715
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.790138
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.78708
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.782669
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.776702
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.768358
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.761675
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.760974
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.758047
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.754172
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.749808
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.746272
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.744191
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.742203
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.739822
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.739882
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.735576
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.737016
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.735497
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.731725
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.731706
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.729559
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.729108
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.728413
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.728008
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.724655
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.723908
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.722893
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.720579
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.721244
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.724967
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.726868
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.725853
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.722512
Stopping. Best iteration:
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.720579

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.0561
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02353
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.99316
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.967449
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.940747
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915751
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.898048
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.887791
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.868167
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.858411
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.847015
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829493
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.810512
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.799866
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.788566
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.778378
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.768248
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.759897
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.749063
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.738707
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.732581
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.728418
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.722747
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.720158
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.715829
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.709726
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.702949
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.699343
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.698362
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.693111
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.689641
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.685712
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.683708
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.681945
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.680509
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.679752
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.678183
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.677291
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.674271
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.674709
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.675173
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.674106
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.676117
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.67773
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.677358
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.678345
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.677979
Stopping. Best iteration:
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.674106

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05911
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03197
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00006
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.982317
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957563
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.936442
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.920296
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.911998
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.900035
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.886779
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.877099
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.862568
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.848309
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.836842
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.829544
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818957
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.812408
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.81104
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.805085
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.800021
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.794718
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.79083
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.786112
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.782424
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.78153
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.780252
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.780297
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.780934
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.779439
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.779038
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.78236
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.784922
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.783651
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.785776
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.785067
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.779038

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06378
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03316
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.99985
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.980318
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.95735
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.934288
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.92002
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.906274
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.885921
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.868797
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.851911
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.836586
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.818562
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.80593
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.798289
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.786192
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.77314
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.765414
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.759478
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.752118
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748331
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747726
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.742472
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.736527
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.72913
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.723704
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.721137
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.717473
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.712907
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.71074
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.710488
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.712009
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.708727
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.707487
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.703397
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.70082
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.702812
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.7059
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.704318
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.703656
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.702346
Stopping. Best iteration:
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.70082

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06128
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998155
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.97198
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.963255
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.936808
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.916906
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.901681
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.884895
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.868043
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.855961
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.841163
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.828361
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.813505
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.807719
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.805514
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.794623
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.782339
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.777493
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.771185
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.761597
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.753661
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.746223
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.742659
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.731972
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.734208
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.727665
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.724355
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.719395
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.716264
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.712104
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.708834
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.707597
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.704052
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.703888
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.701849
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.703333
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.699876
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.700574
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.699169
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.702338
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.702969
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.699607
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.697454
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.696819
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.694184
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.694953
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.691499
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.69112
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.693882
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.692762
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.69516
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.696303
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.697906
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.69112

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0433
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00694
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982505
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950282
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.930232
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.912027
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.893356
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.875739
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.859979
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.843003
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.834284
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.829826
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.820621
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.814578
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.807446
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.801178
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.794287
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.786938
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.780647
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775567
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.770251
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.768868
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.766317
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.765815
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.763526
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.761959
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.759894
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.756707
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.753818
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.756414
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.753003
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.750799
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.749633
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.752733
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.754987
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.750059
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.75529
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.754775
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.749633

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04078
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00238
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.981194
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95575
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932988
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.911779
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.898839
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.883967
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.871379
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.850158
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.837276
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.824341
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.810359
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798667
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797044
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.790819
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.784277
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.770785
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.766859
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.760215
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.751431
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.747926
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.7381
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.73736
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.733535
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.729559
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.723926
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.72314
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.71844
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.714253
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.708137
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.70799
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.709011
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707276
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.706355
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.700127
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.701094
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.699127
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.695226
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.689442
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.687469
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.688799
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.68435
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.682504
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.679253
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.680733
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.681554
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.684459
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.685089
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.684996
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.679253

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01295
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.988025
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.957233
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.949271
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.917869
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.895212
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.878056
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.862464
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.843497
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.829457
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.815183
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.803163
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.794214
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.785856
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.783747
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.769738
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.758738
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.754667
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.749844
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.739894
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.736983
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.725941
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.720708
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.71256
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.710041
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.702486
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.703262
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.700562
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.698311
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.695856
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.689769
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.684955
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.682325
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.679589
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.674404
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.672754
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.669683
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.670496
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.668667
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.670656
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.665053
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.665219
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.663848
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.662117
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.660512
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.659941
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.658046
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.655058
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.654948
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.655235
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.655974
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.655202
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.65888
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.659208
Stopping. Best iteration:
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.654948

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06286
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0288
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.998801
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965957
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.935899
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.91688
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.901801
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.885537
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.860712
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.846284
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.836395
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.827302
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.820865
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.812288
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.80752
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.796591
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.793166
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.787268
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785767
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.785484
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.778733
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.775574
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.771976
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.770955
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.771564
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.770651
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.766318
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.764522
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.762625
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.762113
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.7626
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.764684
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.762982
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.76353
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.764658
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.762113

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06684
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03587
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.0028
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.974672
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.945733
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.922153
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.901366
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.886222
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.868144
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.853888
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.83925
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.829683
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.816351
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.804257
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.795457
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.791368
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.786538
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.780463
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.773422
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.765615
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.762691
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.759697
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.752051
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.742214
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.73756
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.733093
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.731178
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.726134
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.723958
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.720142
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.721201
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.715036
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.710125
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.71631
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.712279
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.714503
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.712923
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.712468
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.710125

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05701
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02434
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993164
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969236
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.94075
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.915305
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.899008
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.887993
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.866618
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.855754
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.841334
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.824326
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.805267
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79202
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.783431
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.775619
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.768408
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.759927
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.749
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.738531
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.732343
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.728299
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.724485
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.722046
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.720187
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.715604
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.712375
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.709603
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709006
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.704915
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.704224
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.697613
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.695543
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.693702
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.693708
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.693639
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.691947
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.6913
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.69161
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.691867
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.695299
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.695817
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.696934
Stopping. Best iteration:
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.6913

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05858
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03048
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00103
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.981634
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.952252
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.93182
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.918051
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.912948
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.902128
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.889998
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.878256
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.867771
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.854598
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.844549
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.835889
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.826868
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.819385
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.815962
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.812701
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.808453
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.80694
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.80478
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.800505
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.797297
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.795876
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.794096
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.794601
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.795001
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.794336
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.792711
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.794849
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.797041
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.796709
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.799176
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.798645
Stopping. Best iteration:
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.792711

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06191
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02894
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996977
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976566
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.953924
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.927284
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.911672
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.898574
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.880887
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866409
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.848276
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.830973
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.817528
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.806372
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.800857
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.792761
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.777387
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.768031
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.763252
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.754897
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.752685
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.751635
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.743005
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.732198
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.728038
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.720584
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.719999
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.714022
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.708325
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.707574
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.707604
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.706252
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.704188
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.703379
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.702839
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.702032
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.701743
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.703229
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.701395
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.700925
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.698954
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.698395
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.696114
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.695599
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.695529
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.695848
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.697317
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.697875
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.699747
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.699615
Stopping. Best iteration:
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.695529

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02722
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.997948
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.970705
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.961941
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.9397
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.920732
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.903054
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.885064
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.863768
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.849446
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.835202
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.822291
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808938
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799208
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.797243
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.784825
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773068
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.769364
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76459
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754404
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.747132
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.744144
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.738359
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.727927
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.728342
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.721475
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.717495
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.711337
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.710363
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.703428
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.699035
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.701279
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.698429
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.697892
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.69385
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.694352
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.696479
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.699712
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.698955
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.701705
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.69385

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06375
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04047
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00608
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981779
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.9492
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.93103
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.912571
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.896369
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879496
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.864411
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.847031
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.83707
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.830685
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.818983
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811782
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.805294
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800029
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.79147
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.787205
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.780583
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.77761
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.772928
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.771521
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.769392
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.768246
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.766647
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.765611
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.763801
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.761679
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.759776
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.759461
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.757092
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.75557
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.75528
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.757867
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.755336
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.752903
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.752678
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.752897
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.75517
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.752922
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.749843
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.750001
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.748588
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.750664
[45]	validation_0-merror:0.383333	validation_0-mlogloss:0.749048
[46]	validation_0-merror:0.383333	validation_0-mlogloss:0.74998
[47]	validation_0-merror:0.383333	validation_0-mlogloss:0.74632
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.747384
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.747976
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.743656
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.745552
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.74346
[53]	validation_0-merror:0.383333	validation_0-mlogloss:0.744336
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.751771
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.751725
[56]	validation_0-merror:0.383333	validation_0-mlogloss:0.750845
[57]	validation_0-merror:0.383333	validation_0-mlogloss:0.749291
Stopping. Best iteration:
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.74346

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06523
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.036
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.997275
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.976128
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.953391
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.928635
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.912104
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.897746
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.879096
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.866507
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.847307
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.835332
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.823825
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.809366
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.797946
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.796621
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.790818
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.785912
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.779308
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.775553
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.769615
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.764531
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.764137
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.758322
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.757782
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.755616
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.751571
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.744242
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.742327
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.738251
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.734558
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.731653
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.73157
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.730992
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.728974
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.727281
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.7219
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.722564
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.719756
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.717856
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.711818
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.710075
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.711109
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.706325
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.702052
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.696144
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.697531
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.69827
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.69665
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.697052
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.693268
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.691702
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.68787
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.688851
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.694256
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.692705
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.693064
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.692004
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.68787

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05087
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01395
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985301
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957111
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.948227
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.920262
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.904134
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885265
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.868603
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.847842
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834411
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822064
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808516
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798899
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.791085
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.786951
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776097
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.764229
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.758958
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753499
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.745766
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.742484
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.730676
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.72321
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.715058
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.711567
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.7062
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.705985
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.703144
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.701718
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.698994
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.695593
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.691503
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.689746
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.68888
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.683598
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.681435
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.678327
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.680637
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.675697
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.677342
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.674649
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.673874
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.672766
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.671563
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.66857
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.666608
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.664604
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.662827
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.664026
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.664604
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.667072
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.666477
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.667228
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.662827

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06325
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02743
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.997719
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.96766
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.938281
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.919895
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.904793
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.889465
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.867887
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.85311
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.840561
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.829136
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.822779
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.813863
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.809174
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.801009
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.797411
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792443
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.787186
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783661
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.78137
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.776054
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.772383
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.769235
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.769253
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.766554
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.763314
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.75946
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.756018
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.752785
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.753422
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.754006
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.753142
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.753916
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.752893
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.752785

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03758
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00792
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.980427
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.959445
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.936573
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.917104
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.904062
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.887424
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.869496
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.856532
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.844657
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.830726
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.819126
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.810698
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.80662
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.801699
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.794237
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.788857
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.77987
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.777168
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.775522
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.769624
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.764332
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.764682
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.757921
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.758072
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.751985
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.748964
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.744584
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.746986
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.74028
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.735328
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.737029
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.732953
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.732048
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.728713
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.727555
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.726002
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.726012
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.722176
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.721457
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.722093
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.722655
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.722426
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.719651
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.715191
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.715452
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.716179
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.722386
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.720718
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.721341
Stopping. Best iteration:
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.715191

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02575
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994497
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.969363
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941168
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.917514
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897505
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.883425
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.862608
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.849149
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.835338
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.817979
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.798995
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.785575
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.777282
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.766502
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.758207
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.749296
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.739083
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.729945
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.723787
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.720606
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.714926
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.710117
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.70625
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.702643
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.697543
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.693427
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.692325
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.688692
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.687712
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.683428
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.683908
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.679601
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.682026
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.678464
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.67861
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.677154
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.676388
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.67687
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.679135
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.6804
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.681383
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.682933
Stopping. Best iteration:
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.676388

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0592
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03144
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00093
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.984809
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.956824
[5]	validation_0-merror:0.45	validation_0-mlogloss:0.934306
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.920305
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.913825
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.903685
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.889801
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.876903
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.866438
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.853094
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.841938
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.833915
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.824546
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.817781
[17]	validation_0-merror:0.416667	validation_0-mlogloss:0.814286
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.808954
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.807688
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.802886
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.801032
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.797179
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.793414
[24]	validation_0-merror:0.416667	validation_0-mlogloss:0.790854
[25]	validation_0-merror:0.416667	validation_0-mlogloss:0.788511
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.787097
[27]	validation_0-merror:0.416667	validation_0-mlogloss:0.787028
[28]	validation_0-merror:0.416667	validation_0-mlogloss:0.786816
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.785965
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.788356
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.790884
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.791144
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.791857
[34]	validation_0-merror:0.416667	validation_0-mlogloss:0.79175
Stopping. Best iteration:
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.785965

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06516
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03014
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999491
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.979398
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954726
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.92553
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.909874
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.90023
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.880552
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.863896
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.845438
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.828423
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810754
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.796963
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.789502
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.782149
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.768248
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.758832
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.755954
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.747153
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.740003
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.739745
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.733705
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72809
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.721822
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.716535
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.715838
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.713636
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.707505
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.704261
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.704396
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706039
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.703605
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70112
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.700727
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.701967
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.703851
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.701946
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.700209
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.698557
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.696788
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.696199
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.693943
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.69144
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.694514
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.696137
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.695851
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.695569
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.69497
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.69144

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05726
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02672
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00005
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.970093
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.962722
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.942116
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.92566
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.907969
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.886604
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.870925
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.859024
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.844508
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.831739
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.822301
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.810954
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.806489
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.794614
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.782217
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.776638
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.772051
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.764551
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.757735
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.750817
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.74414
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.73219
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.725487
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.710621
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.704541
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.703181
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.693537
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.689592
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.685342
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.680666
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.677436
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.676519
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.675128
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.673475
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.668623
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.669067
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.667932
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.668006
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.668678
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.66358
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.662241
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.660723
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.657034
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.653987
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.651854
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.64942
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.651833
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.648811
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.648597
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.649829
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.653347
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.652638
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.651266
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.647859
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.644366
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.648063
[59]	validation_0-merror:0.25	validation_0-mlogloss:0.646059
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.64372
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.643421
[62]	validation_0-merror:0.25	validation_0-mlogloss:0.642536
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.643445
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.644128
[65]	validation_0-merror:0.25	validation_0-mlogloss:0.644626
[66]	validation_0-merror:0.25	validation_0-mlogloss:0.645882
[67]	validation_0-merror:0.25	validation_0-mlogloss:0.641335
[68]	validation_0-merror:0.25	validation_0-mlogloss:0.64094
[69]	validation_0-merror:0.25	validation_0-mlogloss:0.636498
[70]	validation_0-merror:0.25	validation_0-mlogloss:0.635662
[71]	validation_0-merror:0.25	validation_0-mlogloss:0.636829
[72]	validation_0-merror:0.25	validation_0-mlogloss:0.638145
[73]	validation_0-merror:0.25	validation_0-mlogloss:0.639121
[74]	validation_0-merror:0.266667	validation_0-mlogloss:0.639852
[75]	validation_0-merror:0.266667	validation_0-mlogloss:0.637604
Stopping. Best iteration:
[70]	validation_0-merror:0.25	validation_0-mlogloss:0.635662

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06397
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.04047
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00454
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.983294
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.954219
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.932868
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.912121
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.896135
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.875769
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.858206
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.841401
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.82952
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.822872
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815343
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.808537
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.799719
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.793667
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.787918
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.784396
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.775763
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.773213
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.766285
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.764681
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.759829
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.75756
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.753922
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.750193
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.746573
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.740029
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.739729
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.739811
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.73545
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.734464
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.731142
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.734862
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.735029
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.729274
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.730445
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.729058
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.727295
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.725758
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.724048
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.724103
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.718859
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.716802
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.718898
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.722099
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.719024
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.72099
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.728868
Stopping. Best iteration:
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.716802

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.0702
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.04471
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00872
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.991387
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.963009
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.939062
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.921026
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.904407
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.885338
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.873216
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.85183
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.838572
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.824112
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.805882
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.789745
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.786381
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.776134
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.772396
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.760521
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.754236
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.748309
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.740907
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.734106
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.726832
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.725528
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.722537
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.716049
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.710622
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.705465
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.699988
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.692121
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.688529
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.684044
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.685083
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.682523
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.682578
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.674829
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.673027
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.669999
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.668375
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.665377
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.659972
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.659442
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.65305
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.6501
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.647951
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.649473
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.647847
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.650563
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.649144
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.650313
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.648132
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.641561
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.643334
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.646502
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.643954
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.643638
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.641476
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.639649
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.638959
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.637969
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.639568
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.640738
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.639523
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.640112
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.638278
Stopping. Best iteration:
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.637969

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05311
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01885
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.992598
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.963711
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.955762
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.92949
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.907253
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.888908
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.870912
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.852863
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.837986
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.822022
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808796
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.800453
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.791104
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.784348
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775449
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.765664
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759674
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.753048
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.74705
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.742248
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731139
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.726212
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.71744
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.711483
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.703716
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.700678
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699181
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.694558
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.689932
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.685537
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.6816
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.678488
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.675793
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.673497
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.670505
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.672231
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.67395
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.670725
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.669712
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.668836
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.666519
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.665513
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.661701
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.657446
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.654352
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.652601
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.648702
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.649092
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.646589
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.648674
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.647077
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.650416
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.6498
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.648625
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.646589

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06436
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03498
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00474
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.977448
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.950586
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.928184
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.911826
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897473
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.877119
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.862255
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.851481
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.842978
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.833991
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.825145
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.816101
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.806424
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.803528
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800011
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792003
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.788606
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.781697
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.779794
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775061
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.768523
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.766787
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.76186
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.754883
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.755057
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.750839
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.748537
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.745751
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.746315
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.742896
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.738189
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.739075
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.735372
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.734133
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.734398
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.732442
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.730606
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.72997
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.730974
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.731319
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.72742
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.726283
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.722045
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.721629
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.723828
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.719542
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.721147
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.7212
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.722078
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.725378
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.72611
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.719542

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06927
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04484
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.01227
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.989261
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.966157
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.945555
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.927595
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.911985
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.888518
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.872628
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.859343
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.846182
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.833666
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.823379
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.811649
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.803147
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.796987
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.786416
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.775608
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.768506
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.765981
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.761943
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.753811
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.747617
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.739812
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.735223
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.731715
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.726587
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.719868
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.713754
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.708035
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.704383
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.698305
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.699238
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.693849
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.690844
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.686488
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.68191
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.679442
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.678049
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.673382
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.672848
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.67128
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.668837
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.670267
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.667733
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.663902
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.663381
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.663133
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.666056
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.664233
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.662549
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.661411
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.663718
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.665012
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.664085
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.661599
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.659228
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.657885
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.656078
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.652849
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.652822
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.654191
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.655172
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.6573
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.65421
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.654963
Stopping. Best iteration:
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.652822

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05659
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02388
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.993694
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971091
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.941685
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917691
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.901805
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.891206
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.876815
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.862697
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.849365
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.836425
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.823201
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.809679
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.800039
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.787552
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779846
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769921
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.760579
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.751252
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.744024
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.73945
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.732672
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.728942
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.7258
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.719367
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.716479
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.713891
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.712674
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707038
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703757
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.699116
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.699459
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.695496
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.694723
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.692621
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.690052
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.684834
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.685855
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.68449
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.682486
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.680147
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.678209
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.679303
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.679858
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.680142
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.679198
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.679866
Stopping. Best iteration:
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.678209

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06173
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03236
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00658
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.987164
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.961933
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.936319
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.921773
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.911462
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.897597
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.883928
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.870461
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.855328
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.840956
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.82818
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.820229
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.816029
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.807904
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.801635
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.795743
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.787386
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.780968
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.778231
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.775437
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.771083
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.767382
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.763189
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.75918
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.755901
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.750287
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.750289
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.749956
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.751386
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.746664
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.744585
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.739597
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.735475
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.738389
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.737804
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.7347
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.733051
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.732177
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.729226
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.727399
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.727282
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.726474
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.724959
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.727697
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.725248
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.725718
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.726423
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.724835
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.724236
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.724734
[53]	validation_0-merror:0.366667	validation_0-mlogloss:0.725044
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.725408
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.723988
[56]	validation_0-merror:0.366667	validation_0-mlogloss:0.722755
[57]	validation_0-merror:0.383333	validation_0-mlogloss:0.724456
[58]	validation_0-merror:0.366667	validation_0-mlogloss:0.726253
[59]	validation_0-merror:0.366667	validation_0-mlogloss:0.728078
[60]	validation_0-merror:0.366667	validation_0-mlogloss:0.726658
[61]	validation_0-merror:0.366667	validation_0-mlogloss:0.728957
Stopping. Best iteration:
[56]	validation_0-merror:0.366667	validation_0-mlogloss:0.722755

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07327
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04155
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.01652
[3]	validation_0-merror:0.4	validation_0-mlogloss:1.00152
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.985254
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.961206
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.946625
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.935051
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.917601
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.902844
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.883265
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.869177
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.851817
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.840563
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.828559
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818052
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.805119
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.797428
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.794977
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.783453
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.771534
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.767191
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.759842
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.753287
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.746633
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.740923
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.731265
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.727047
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.720688
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.716101
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.711289
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.708427
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.703502
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.698353
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.695013
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.693074
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.689272
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.688025
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.684075
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.68166
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.677442
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.673482
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.671335
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.66863
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.666135
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.662016
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.660885
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.657259
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.653505
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.652139
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.650233
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.648482
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.647069
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.647683
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.646304
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.647684
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.644767
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.644529
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.643506
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.643826
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.642472
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.641591
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.641861
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.641563
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.640908
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.637983
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.63624
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.634733
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.632943
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.63353
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.633992
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.633656
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.634879
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.633068
Stopping. Best iteration:
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.632943

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05486
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02446
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00217
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.973142
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.964632
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.945893
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.930104
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.912127
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.894486
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.878819
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.866834
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.852132
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.839267
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.829799
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.817777
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.81258
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.79995
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.786855
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.78196
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.773787
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.764565
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.758758
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.752028
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.745435
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.734316
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.728993
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.717499
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.710875
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.705663
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.699153
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.694294
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.69158
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.686736
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.682437
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.681288
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.678619
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.677137
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.67388
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.670913
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.668144
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.668303
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.668821
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.663833
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.662737
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.65941
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.654981
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.653026
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.650544
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.645181
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.64697
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.644077
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.646045
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.647167
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.650047
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.649304
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.647749
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.644077

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06418
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.04018
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00432
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.983836
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955606
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935842
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.915558
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.898718
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879463
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.861796
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.845042
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.832802
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82647
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815794
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.809887
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.800756
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.794753
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.788388
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.784622
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.77683
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.774159
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.766586
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765001
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.761444
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.758901
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.755808
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.752951
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.750171
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.747869
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.746817
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.746249
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.742513
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.741184
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.738068
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.741498
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.743477
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.738079
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.738536
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.736754
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.735318
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.733402
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.731586
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.729524
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.726412
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.72553
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.727446
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.731065
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.726179
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.727089
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.732767
Stopping. Best iteration:
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.72553

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06946
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.04373
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00771
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.990488
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.962146
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.938137
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.920052
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.903523
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.884604
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.87072
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.84937
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.836226
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.821982
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.803616
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.788419
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.785436
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.776636
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.772554
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.760674
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.754332
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.748798
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.739901
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.733387
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.725797
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.724366
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.720857
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.712213
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.705375
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.698924
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.694892
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.688045
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.68397
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.679727
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.679959
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.677418
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.678678
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.671071
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.669841
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.668546
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.666598
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.66292
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.657349
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.659717
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.654303
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.651504
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.650251
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.654428
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.653144
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.651367
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.651615
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.651878
Stopping. Best iteration:
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.650251

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05287
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01811
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.991785
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962936
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.954953
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.928744
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.906494
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.889361
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.870795
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852724
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.837822
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.823357
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810308
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801868
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.791533
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.784683
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775814
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.765977
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759557
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.753095
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.745264
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.739264
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.728097
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.724305
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.715918
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.709294
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.7013
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.698843
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.695854
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.691933
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.686015
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.680608
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.673027
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.670061
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.667225
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.664296
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.660165
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.661607
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.663487
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.660474
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.661182
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.660191
Stopping. Best iteration:
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.660165

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06455
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03512
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00429
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.976806
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.950598
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.927673
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.911164
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.897082
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.876832
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.861863
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.851132
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.842718
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.833786
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.824993
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.815916
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.806832
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.803901
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.799899
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.791073
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.787379
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.780265
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.776541
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.772028
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.765964
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.764413
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.759397
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.752306
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.752583
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.751156
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.74877
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.748556
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.748895
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.745345
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.740353
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.741966
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.740136
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.739333
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.739277
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.738025
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.73701
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.735419
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.737422
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.737301
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.735243
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.734007
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.732998
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.731638
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.733777
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.729557
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.733057
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.734625
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.736295
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.737389
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.737858
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.729557

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06861
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.0415
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00898
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.984519
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.961464
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.942425
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.924767
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.910639
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.889381
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.873305
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.860233
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.84799
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.834774
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.824476
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.812537
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.804229
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.79811
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.789947
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.780565
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.77346
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.772524
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.770789
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.76403
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.755445
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.74736
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.74261
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.736506
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.731585
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.724457
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.718383
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.714498
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.710814
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.704508
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.704524
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.699104
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.697049
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.692672
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.687549
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.68474
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.68237
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.679187
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.679075
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.676175
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.67453
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.674961
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.673783
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.66971
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.669557
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.66906
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.671191
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.668118
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.66389
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.662301
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.662311
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.663588
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.662232
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.66015
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.657004
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.655127
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.652566
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.649633
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.649594
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.649369
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.650458
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.651654
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.648476
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.648913
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.647937
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.649237
[69]	validation_0-merror:0.3	validation_0-mlogloss:0.650332
[70]	validation_0-merror:0.3	validation_0-mlogloss:0.648509
[71]	validation_0-merror:0.3	validation_0-mlogloss:0.648547
[72]	validation_0-merror:0.3	validation_0-mlogloss:0.646904
[73]	validation_0-merror:0.3	validation_0-mlogloss:0.645791
[74]	validation_0-merror:0.3	validation_0-mlogloss:0.642202
[75]	validation_0-merror:0.3	validation_0-mlogloss:0.641701
[76]	validation_0-merror:0.3	validation_0-mlogloss:0.64589
[77]	validation_0-merror:0.3	validation_0-mlogloss:0.64672
[78]	validation_0-merror:0.3	validation_0-mlogloss:0.643468
[79]	validation_0-merror:0.3	validation_0-mlogloss:0.646123
[80]	validation_0-merror:0.3	validation_0-mlogloss:0.646634
Stopping. Best iteration:
[75]	validation_0-merror:0.3	validation_0-mlogloss:0.641701

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05659
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02282
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992666
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970005
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.941658
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916665
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.901739
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.891142
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.876759
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.86361
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.850572
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.836952
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.82208
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.809321
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.800045
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.788484
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.779008
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.769377
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.76011
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.751216
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.745277
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740612
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.734544
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.730963
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.72763
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.722892
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.720388
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.715764
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.714609
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.708774
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.706044
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.701594
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.698659
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.695409
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.6958
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.695572
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.693391
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.687023
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.687427
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.686227
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.684959
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.682545
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.680158
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.680473
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.680959
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.682007
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.681174
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.679142
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.678694
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.676643
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.674852
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.675656
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.676082
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.675333
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.676535
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.676612
Stopping. Best iteration:
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.674852

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06166
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03198
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.0062
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.985175
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.959569
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.93377
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.918799
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.907895
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.892856
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.879084
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.865458
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.850247
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.835004
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.822475
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.814632
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.811668
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.802574
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.795425
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.787499
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.779091
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775179
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.772351
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767611
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.761941
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.75726
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.753707
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.753276
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.750138
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.746274
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.745265
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.74467
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.745043
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.739905
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.737223
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.733325
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.729394
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.732356
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.729076
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.726902
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.724815
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.723018
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.722562
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.720143
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.720878
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.718786
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.720403
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.721961
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.722983
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.723468
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.723533
Stopping. Best iteration:
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.718786

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07283
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.04079
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.01534
[3]	validation_0-merror:0.4	validation_0-mlogloss:1.00047
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.978458
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.954362
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.938961
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.92735
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.911019
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.894825
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.875183
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.861061
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.847251
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.835401
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.826754
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.818823
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.806534
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.797988
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.790454
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.779687
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.771562
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.767063
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.759744
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.75308
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.746202
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.740903
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.732608
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.727946
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.722646
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.718733
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.715196
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.713629
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.708093
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.703421
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.698113
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.694443
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.691222
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.691567
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.688305
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.685672
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.682668
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.679149
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.679011
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.676595
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.674509
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.671238
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.669794
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.668332
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.666391
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.664861
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.662474
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.660516
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.659146
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.659719
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.658818
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.660184
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.659138
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.658189
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.656556
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.654538
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.651772
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.648488
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.646153
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.647359
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.64825
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.645369
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.64389
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.643442
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.641457
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.642619
[70]	validation_0-merror:0.25	validation_0-mlogloss:0.641239
[71]	validation_0-merror:0.25	validation_0-mlogloss:0.641948
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.644906
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.642414
[74]	validation_0-merror:0.266667	validation_0-mlogloss:0.64128
[75]	validation_0-merror:0.266667	validation_0-mlogloss:0.642264
Stopping. Best iteration:
[70]	validation_0-merror:0.25	validation_0-mlogloss:0.641239

[0]	validation_0-merror:0.516667	validation_0-mlogloss:1.05973
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03024
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00648
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.978338
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.969778
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.950449
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.934426
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.916546
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.895235
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.879393
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.867109
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.852783
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.840077
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.831701
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.819748
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.81767
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.805264
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.793342
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.787716
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.779551
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.771781
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.764276
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.756869
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.749724
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.738525
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.736777
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.724287
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.716576
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.711245
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.705574
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.701254
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.696616
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.693062
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.689499
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.686344
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.682649
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.679037
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.67381
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.671876
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.669515
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.669941
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.670137
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.666149
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.663744
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.66068
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.659921
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.657436
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.655022
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.652588
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.655183
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.651432
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.65264
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.653558
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.657845
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.657894
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.656825
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.651432

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06418
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.04058
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00588
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.984957
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.956897
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.936092
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.915932
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.899638
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.880712
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.863892
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.848827
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.83645
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.827431
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.819646
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.814104
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.804876
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.798786
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.794105
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.791283
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.783149
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.779266
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.77462
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.773031
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.769103
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.766321
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.762591
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.759904
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.754688
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.751104
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.750621
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.752483
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.748909
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.747217
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.744325
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.747219
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.748277
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.74249
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.744846
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.745163
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.744144
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.742419
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.737724
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.735699
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.732391
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.728279
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.729572
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.73051
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.729355
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.732042
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.739936
Stopping. Best iteration:
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.728279

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.07332
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04693
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.01095
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.993766
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.968867
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.944912
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.92803
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.911219
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.893107
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.876602
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.854885
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.840943
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.827556
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.812033
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800067
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.794537
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.784676
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.779681
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.767256
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.760731
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.755028
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.746021
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.739611
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.731369
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.730381
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.727108
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.719501
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.714338
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.710119
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.706413
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.698919
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.693902
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.68857
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.690228
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.687463
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.688419
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.68243
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.680092
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.678737
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.676929
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.674394
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.66868
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.67094
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.667663
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.663748
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.662767
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.665937
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.665648
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.663094
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.664084
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.664308
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.662767

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05261
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01782
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.992705
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.964269
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.956363
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.930167
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.909009
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.891659
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.873824
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856992
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.84397
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.829406
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.815523
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.80605
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.794772
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787837
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779017
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.770495
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.765578
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754727
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746604
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741885
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.73064
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.726097
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.71777
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.711134
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.702948
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.701063
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.697637
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.693526
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.688968
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.685451
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.682375
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.680277
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.678552
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.673467
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.671142
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.672293
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.67358
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.666873
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.666311
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.665089
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.663413
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.662247
[44]	validation_0-merror:0.25	validation_0-mlogloss:0.659626
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.656023
[46]	validation_0-merror:0.25	validation_0-mlogloss:0.653628
[47]	validation_0-merror:0.25	validation_0-mlogloss:0.650338
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.645781
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.647602
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.646896
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.647551
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.646031
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.647129
Stopping. Best iteration:
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.645781

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06563
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03965
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00866
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982308
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.956028
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.93302
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.916799
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.900406
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.879577
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.864573
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853735
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.845083
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.836352
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.826322
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.817213
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.80809
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.805113
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.801169
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.793907
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.790543
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.783622
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.779841
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775184
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.771238
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.771373
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.766208
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.759618
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.756982
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.753038
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.750098
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751446
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.75207
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.747919
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.742784
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.744014
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.740247
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.739943
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.741973
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.739737
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.738515
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.737289
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.738152
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.737672
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.738024
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.735199
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.737299
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.735465
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.738258
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.734577
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.737947
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.736599
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.738038
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.739072
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.742384
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.734577

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06861
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.0415
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00898
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.984519
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.961464
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.944493
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.926472
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.91224
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.89126
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.875219
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.861619
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.849633
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.837465
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.828751
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.816517
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.81001
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.804083
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.795925
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.786247
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.778798
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.776566
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.77322
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.766436
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.758408
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.750561
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.746155
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.740903
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.735657
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.728608
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.722108
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.721664
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.717234
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.711403
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.710958
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.705606
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.704523
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.699163
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.693609
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.690352
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.687734
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.683234
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.683128
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.680324
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.678124
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.678891
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.676356
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.676643
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.675521
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.67562
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.67746
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.675513
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.675961
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.674848
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.675787
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.675131
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.672872
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.670531
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.667215
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.666707
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.666322
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.667662
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.667123
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.669296
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.670336
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.673315
Stopping. Best iteration:
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.666322

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05742
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02361
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.995281
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.972261
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.946101
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921038
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905887
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.895232
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.880902
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866831
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.853689
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.84114
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.828504
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.816731
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.807499
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.795425
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.785554
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.777391
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.768178
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.760175
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.752758
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.748251
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.741465
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.736933
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.733847
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.729043
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.726772
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.721731
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.720604
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.714425
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.711523
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706356
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.703061
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.70048
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.69823
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.696539
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.692788
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.686582
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.687055
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.685251
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.685506
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.683339
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.681256
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.681107
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.683131
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.684123
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.682836
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.681913
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.684318
Stopping. Best iteration:
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.681107

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06156
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03459
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.01134
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.989289
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.963289
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.937254
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.921988
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.91073
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.895421
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.882104
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.868325
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.853305
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.839901
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.827323
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.818544
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.807632
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.798595
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.791623
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.787337
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.779492
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.775365
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.772809
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.765857
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.760505
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.756542
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.752465
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.750609
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.749828
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.744354
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.741709
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.739931
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.741369
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.738695
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.738524
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.737088
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.738261
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.741126
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.742437
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.739029
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.73695
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.739499
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.738012
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.738199
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.738007
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.737719
Stopping. Best iteration:
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.73695

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.04022
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.0149
[3]	validation_0-merror:0.416667	validation_0-mlogloss:1.00018
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.978736
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.954018
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.939694
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.928084
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.910703
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.89453
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.874998
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.860886
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.845909
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.833342
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.82323
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.816203
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.803578
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.795059
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.78658
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.776477
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.768629
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.763839
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.756324
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.749294
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.741289
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.736987
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.732433
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.729072
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.722737
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.720701
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.717173
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.710262
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.703322
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.700182
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.694458
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.692128
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.688651
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.688667
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.685183
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.683594
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.679196
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.675478
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.674405
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.672364
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.670251
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.666466
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.665292
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.66289
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.664183
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.662122
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.661933
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.660062
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.659362
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.6581
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.657534
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.657339
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.654359
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.652131
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.651031
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.649871
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.646904
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.646635
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.647203
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.646301
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.646372
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.645053
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.641976
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.642964
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.641872
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.63946
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.638722
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.63997
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.642936
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.643688
[74]	validation_0-merror:0.266667	validation_0-mlogloss:0.641139
[75]	validation_0-merror:0.266667	validation_0-mlogloss:0.642145
Stopping. Best iteration:
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.638722

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06182
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00351
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.975276
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.966501
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.942416
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.926359
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.909356
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.887792
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.871819
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.858266
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.844321
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.831637
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.818391
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.808097
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.804101
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.791781
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.779392
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.775155
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.769664
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.76181
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.755357
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.747408
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.742032
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.735127
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.733845
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.723389
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71681
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709715
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.703812
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.699325
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.693668
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.690561
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.687805
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.684531
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.681225
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.680985
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.676749
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.675403
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.672591
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.674332
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.671818
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.667958
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.666293
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.66372
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.661306
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.662006
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.661641
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.65816
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.661756
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.658526
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.661021
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.660792
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.662413
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.65816

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06418
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.04058
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00588
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.984957
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.956375
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.936259
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.91606
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.899854
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.880152
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.86525
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.849749
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.837234
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.830352
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.821269
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.815336
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.80701
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.801713
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.795353
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.791854
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.783608
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.779174
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.771897
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.770842
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.766981
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.764725
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.761034
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.758512
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.753844
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.751567
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.750312
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.750754
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.748156
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.74657
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.741788
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.744615
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.745586
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.742147
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.744899
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.745201
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.741788

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.07077
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04437
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00848
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.991388
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.966534
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.942885
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.925108
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.908024
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.890537
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.875232
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.854119
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.840074
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.826839
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.811487
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800646
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795859
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.788728
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.783141
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.774229
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.767867
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.761379
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.752111
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.745589
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.736537
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.737231
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.730885
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.728165
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.72198
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.717331
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712179
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.708621
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704025
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.700726
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.701543
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.698217
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.69871
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.692541
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.691244
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.68987
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.686909
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.682256
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.677864
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.681141
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.676355
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.673772
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.670661
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.673711
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.673336
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.672789
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.673942
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.6739
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.670661

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0547
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01957
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.99458
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966839
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.958943
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932493
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.909074
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.891507
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.874735
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.857595
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.842959
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.827687
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.81506
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.805734
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.794901
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788836
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.778313
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.770196
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.764693
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.758035
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.748977
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.744502
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.733104
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727952
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.7211
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.715231
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.709676
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.707309
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.703767
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.700498
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.697376
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.692866
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.688654
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.685461
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.683139
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.67933
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.67757
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.6777
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.679333
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.67389
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.673471
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.672343
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.673525
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.671801
[44]	validation_0-merror:0.25	validation_0-mlogloss:0.668784
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.664927
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.662253
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.658943
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.655126
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.657185
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.654859
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.655387
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.650551
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.654023
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.653602
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.653239
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.653347
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.651621
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.650551

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06219
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03721
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00749
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.980592
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95304
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.930459
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.914669
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.898698
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.878013
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.864126
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853252
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.845147
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.836839
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.827212
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.818119
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.80953
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.806416
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.801543
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.794571
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.791224
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.781507
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.775758
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.77091
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.766874
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.766992
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.762356
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755964
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.756494
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.752383
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.749599
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.749976
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.750139
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.747793
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.742682
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.743537
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.739667
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.737361
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.738091
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.735932
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.737374
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.736119
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.737002
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.736698
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.737451
Stopping. Best iteration:
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.735932

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.07074
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04268
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.01113
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.986443
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.9635
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.942631
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.924931
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.911014
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.89507
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.879087
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.866021
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.854658
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.841446
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.833315
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.820971
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.813965
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.808042
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.799928
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.790217
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.78111
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.777435
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.774132
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.767162
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.760435
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.755676
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.749554
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.745624
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739739
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.732835
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.7249
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.724661
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.721392
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.714234
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.713861
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.708759
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.706351
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.702406
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.699319
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.696032
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.694785
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.690154
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.689877
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.688767
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.686938
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.688772
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.685207
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.683204
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.681023
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.678929
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.682717
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.680924
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.679981
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.67946
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.678843
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.680482
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.678242
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.674558
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.672691
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.672137
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.673833
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.6706
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.673291
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.673949
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.674412
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.675963
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.671641
Stopping. Best iteration:
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.6706

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0601
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0299
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00147
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.978421
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.952876
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.926264
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.91106
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.901847
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.886151
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.871497
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.858434
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.843157
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.827659
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.812325
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.803475
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.792022
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.78491
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.774966
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.764588
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.757645
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.751164
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745839
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.738279
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.733877
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.730366
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.723974
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.723076
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.718202
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.71531
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707801
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.705638
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.699664
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.698023
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.696471
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.692633
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.692028
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.689832
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.685562
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.684478
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.683482
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.684434
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.682504
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.682366
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.684452
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.687021
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.687612
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.682935
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.683968
Stopping. Best iteration:
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.682366

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0648
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0377
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.01477
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.993513
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.968026
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.942017
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.927181
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.916398
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.901196
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.888101
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.874158
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.858222
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.843558
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.831606
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.822384
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.81331
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.803503
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.796879
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792089
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.784355
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.779541
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.777231
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.770097
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.767651
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.763135
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.759665
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.755011
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.754165
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.751525
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.748923
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.747326
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.743431
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.741109
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.740644
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.738551
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.738902
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.741632
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.743478
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.741722
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.737817
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.738404
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.739336
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.737631
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.738939
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.737819
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.737258
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.741876
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.74192
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.744696
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.744026
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.743955
Stopping. Best iteration:
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.737258

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04312
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.01763
[3]	validation_0-merror:0.416667	validation_0-mlogloss:1.00282
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.984833
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.959738
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.945415
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.933495
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.916115
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.899928
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.880328
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.866158
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.849204
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.836497
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.827422
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.822516
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.809832
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.80089
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.791305
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.781299
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.773645
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.768721
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.761382
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.754369
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.746563
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.74395
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.738329
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.733092
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.725925
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.720725
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.715948
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.712857
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.709294
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.706173
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.70292
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.700183
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.696557
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.695265
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.691851
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.690943
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.686767
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.684329
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.683188
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.681124
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.680605
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676809
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.676551
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.674952
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.674289
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.67295
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.671999
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.668943
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.667741
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.665542
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.666084
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.664895
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.662727
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.66332
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.661182
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.660757
[60]	validation_0-merror:0.25	validation_0-mlogloss:0.656693
[61]	validation_0-merror:0.25	validation_0-mlogloss:0.657584
[62]	validation_0-merror:0.25	validation_0-mlogloss:0.655796
[63]	validation_0-merror:0.25	validation_0-mlogloss:0.658813
[64]	validation_0-merror:0.25	validation_0-mlogloss:0.659065
[65]	validation_0-merror:0.25	validation_0-mlogloss:0.656011
[66]	validation_0-merror:0.25	validation_0-mlogloss:0.656383
[67]	validation_0-merror:0.25	validation_0-mlogloss:0.656934
Stopping. Best iteration:
[62]	validation_0-merror:0.25	validation_0-mlogloss:0.655796

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05485
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02649
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999197
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.970188
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.961305
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.938168
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.922181
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.905324
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.883922
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.86599
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.851884
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.837946
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.825269
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.81426
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.804154
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.800452
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.788741
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.776403
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.772601
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.76784
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.761624
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.754147
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.749513
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.744955
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.736904
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.735341
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.724701
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.718524
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.711743
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.70884
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.703708
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.699149
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.696903
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.694386
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.691945
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.688187
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.685278
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.685653
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.688949
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.685315
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.687861
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.686621
Stopping. Best iteration:
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.685278

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06397
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.04031
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.007
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.984669
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.956879
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.936502
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.916002
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.898781
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.878871
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.861852
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.845744
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833852
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82705
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.816185
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811505
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.802492
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.797296
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.790883
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.78657
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.77817
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.774361
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.767878
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.766691
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.762644
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.760571
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.758303
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755999
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.751748
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.748818
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.747748
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.747182
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.743061
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.742088
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.74116
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.744369
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.742582
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.740669
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.742853
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.743393
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.743524
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.742912
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.738222
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.738864
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.736946
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.738276
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.734607
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.735096
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.731234
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.731669
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.732145
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.729413
[51]	validation_0-merror:0.366667	validation_0-mlogloss:0.733187
[52]	validation_0-merror:0.366667	validation_0-mlogloss:0.734811
[53]	validation_0-merror:0.383333	validation_0-mlogloss:0.736912
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.74463
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.741764
Stopping. Best iteration:
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.729413

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.07103
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0439
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00815
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.990923
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.966127
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.942377
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.924833
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.907777
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.889563
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.874179
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.853269
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.83953
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.824449
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.808925
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.798021
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.793356
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.785666
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.780772
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.774136
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.769273
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.76562
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.757134
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.755172
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.749821
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.750654
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.746864
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.741133
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.734441
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.729648
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.724918
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.724417
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.719907
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.716894
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.716418
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.712862
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.711306
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.706648
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.705492
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.704071
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.701235
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.696074
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.692457
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.694533
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.690112
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.685603
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.680426
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.681228
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.683047
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.681027
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.68266
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.67875
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.676824
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.672309
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.671359
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.675325
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.673921
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.675878
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.674675
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.672933
Stopping. Best iteration:
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.671359

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05462
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.02132
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.99444
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966787
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.958751
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.932981
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.911333
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.893442
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.876294
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.859457
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.844342
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.829263
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.818005
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.810295
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.798599
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.792231
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.781296
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771773
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.765127
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76011
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.751493
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.746849
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.734956
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.72887
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.719716
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.713147
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70639
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.704219
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.700686
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.699853
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.697568
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.694167
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.688263
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.684856
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.682913
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.678365
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.675816
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.67541
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.676776
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.670011
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.67
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.669596
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.669738
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.668301
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.665581
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.664941
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.663441
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.662333
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.659705
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.661261
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.660362
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.662458
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.660502
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.664299
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.659705

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06212
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03714
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00786
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.980917
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.954327
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932207
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.915921
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.899927
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.879033
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.865045
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853749
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.844314
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.836312
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.827315
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.81905
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.808865
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.80562
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.799848
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.792852
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.789445
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.77979
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.774691
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.770096
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.766237
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.766146
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.761482
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.755147
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.754411
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.749508
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.745535
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.744509
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.744002
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.741465
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.74421
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.743812
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.739826
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.739881
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.739877
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.738018
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.73834
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.737086
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.738055
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.73776
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.739034
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.737195
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.739182
Stopping. Best iteration:
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.737086

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06886
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04072
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00836
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.98375
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.961685
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.945778
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.927986
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.914023
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.898275
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.879524
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.867025
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.854732
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.841713
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.833765
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.821563
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.814607
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.809451
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.801387
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792285
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.78469
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.781119
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.777866
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.770889
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.764652
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.76233
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.755416
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.751542
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.746117
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.739113
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.734549
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.736875
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.732408
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.725361
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.727326
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.720576
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.717132
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.714247
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.710123
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.706025
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.705365
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.700766
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.700379
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.69983
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.701317
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.702674
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.69864
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.697539
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.696166
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.696569
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.701422
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.697346
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.698753
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.696916
Stopping. Best iteration:
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.696166

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05904
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02869
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.0001
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.977695
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.952691
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.925981
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.910867
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.901116
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.885448
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.870899
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.857776
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.841435
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.827347
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.814743
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.805963
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795847
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.786737
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.779378
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.768817
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.758941
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.751981
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.746253
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.739875
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.73426
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.731035
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.726143
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.723037
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.718489
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.716985
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712813
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.709704
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.705935
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.704634
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.703183
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.700207
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.700125
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.697752
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.692378
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.693112
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.691125
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.69273
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.691563
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.69116
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.688226
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.690005
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.688007
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.686185
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.688134
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.688774
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.686815
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.685354
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.684912
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.680937
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.6805
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.680643
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.679823
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.67975
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.678003
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.676767
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.677196
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.676167
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.675977
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.674782
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.674993
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.674647
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.673412
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.674031
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.676189
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.673414
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.673811
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.67225
[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.672622
[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.669983
[73]	validation_0-merror:0.283333	validation_0-mlogloss:0.669909
[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.66773
[75]	validation_0-merror:0.283333	validation_0-mlogloss:0.668622
[76]	validation_0-merror:0.283333	validation_0-mlogloss:0.669483
[77]	validation_0-merror:0.283333	validation_0-mlogloss:0.670789
[78]	validation_0-merror:0.266667	validation_0-mlogloss:0.670578
[79]	validation_0-merror:0.266667	validation_0-mlogloss:0.669806
Stopping. Best iteration:
[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.66773

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06302
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03594
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.01207
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.991244
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.96499
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.938885
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.923997
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.913484
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.898258
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.884081
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.870167
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.854785
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.840133
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.827171
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.817881
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.809997
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.800368
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.79371
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.789788
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.782757
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.778764
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.776161
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.769629
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.766218
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.760876
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.757775
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.754052
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.753331
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.749475
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.746853
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.745442
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.745586
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.742182
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.741281
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.738342
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.73727
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.740282
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.738607
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.737932
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.737045
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.737796
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.736235
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.735221
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.735783
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.736553
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.737988
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.738389
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.736653
Stopping. Best iteration:
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.735221

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04312
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.01763
[3]	validation_0-merror:0.416667	validation_0-mlogloss:1.00282
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.984833
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.959738
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.945415
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.934348
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.917271
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.899667
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.880132
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.866026
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.84955
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.83842
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.826577
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.821617
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.809055
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.799578
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789791
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.780706
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.772695
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.768225
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.763208
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.757766
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.749191
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.746001
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740164
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.736555
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.732078
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.729865
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.724166
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.722113
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.718296
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.715658
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.710035
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.705359
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.701903
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.698649
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.695453
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.69323
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.689284
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.6878
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.68451
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.681968
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.679397
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.677325
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.67644
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.674494
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.67404
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.674843
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.671611
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.672921
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.673176
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.670639
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.670401
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.671054
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.67119
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.669503
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.668104
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.666942
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.664444
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.664505
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.663877
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.664578
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.665587
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.664453
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.662435
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.662286
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.659651
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.662985
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.663511
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.664748
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.66546
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.666092
Stopping. Best iteration:
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.659651

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.0578
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0233
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.995614
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.962591
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.9541
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.928858
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.909052
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.893497
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87577
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856235
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.84349
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.83101
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.816165
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.806826
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.801279
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.80021
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.787223
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.77795
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.771087
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.76545
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.75484
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.746139
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.737503
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.729232
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.723113
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.722656
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.710425
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.704715
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.701474
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.693946
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.68546
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.680901
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.677113
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.67147
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.670656
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.668116
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.665328
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.658064
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.65847
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.652849
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.6554
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.656685
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.654221
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.652781
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.651744
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.650165
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.646046
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.64454
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.646148
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.648401
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.647331
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.649179
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.648588
Stopping. Best iteration:
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.64454

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05977
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03521
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.995366
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.970362
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.937073
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.914262
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.892475
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.875008
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.856394
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.841365
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.827344
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.811428
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.806994
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.798521
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.791723
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781202
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.77792
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.776843
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.775165
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.767633
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.769325
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.763098
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.76242
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.758708
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.761256
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.760075
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755788
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.753468
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.748499
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.746387
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.745989
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.746504
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.748928
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.748874
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.75441
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.750293
Stopping. Best iteration:
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.745989

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05905
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.03382
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.99241
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.968313
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.932902
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.908628
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.89683
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883877
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.865869
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.852677
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834202
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.823215
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.808688
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.793769
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.778993
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.773014
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.764749
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.762485
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.752422
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.742553
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.73999
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.73603
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.728547
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.720708
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.72266
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.722172
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.71354
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.707712
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.706025
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.701579
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.697337
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.697312
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.698895
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.703335
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.704063
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.708371
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.70287
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.697312

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05043
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01248
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.978423
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.953169
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.947497
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.918219
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.89993
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883535
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.864997
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846083
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.830201
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.817515
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.803553
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.790819
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.780605
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.775992
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765539
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.755162
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.749176
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.745446
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.73735
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.732163
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.720793
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.715993
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.706329
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.704227
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.6973
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.697368
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.695128
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.691425
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.687178
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.683647
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.677836
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.674291
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.67118
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.669362
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.667544
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.668581
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.671881
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.668595
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.669129
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.6664
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.663811
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.662874
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.660603
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.65914
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.659884
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.659617
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.658133
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.658422
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.65911
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.662115
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.660428
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.66237
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.658133

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06281
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03296
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997669
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.964216
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.937778
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.917751
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.897341
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.88111
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.861438
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.848532
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.838631
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.829182
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.822288
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.811353
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.804151
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.794612
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.795206
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.789037
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.78407
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.780812
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.778444
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.775555
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.769934
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.765984
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.767714
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.764916
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.761884
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.760557
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.762134
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.7571
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.759123
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.758389
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.757017
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.756559
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.758768
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.760414
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.76172
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.764189
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.764759
Stopping. Best iteration:
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.756559

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06108
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02676
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.993748
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.976703
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954353
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.938128
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.918737
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.909141
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.891904
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.877402
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.865237
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.855927
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.839894
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.829348
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.816156
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.808949
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.804248
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.795702
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.786527
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.777965
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.777134
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.773159
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.77222
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.764745
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.759632
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.755694
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.749517
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.749386
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.744033
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.739371
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.738129
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.734747
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.731823
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.729938
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.725522
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.723957
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.723416
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.721213
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.720008
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.71875
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.714814
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.712424
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.711673
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.709126
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.713638
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.710323
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.706039
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.705849
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.709434
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.713967
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.711723
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.712617
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.71312
Stopping. Best iteration:
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.705849

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05144
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01473
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.980782
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.956461
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.923612
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.898528
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.880875
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.870922
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.855183
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.841326
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.829177
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.812271
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.792662
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.778001
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.768371
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.759899
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.751537
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.743611
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.736753
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.728498
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.724012
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.720533
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.715502
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.710624
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.708136
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.703154
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.699174
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.696605
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.694438
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.688679
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.688517
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.68343
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.678998
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.673337
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.673729
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.671943
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.66979
[37]	validation_0-merror:0.233333	validation_0-mlogloss:0.669453
[38]	validation_0-merror:0.233333	validation_0-mlogloss:0.669261
[39]	validation_0-merror:0.233333	validation_0-mlogloss:0.669421
[40]	validation_0-merror:0.233333	validation_0-mlogloss:0.667679
[41]	validation_0-merror:0.233333	validation_0-mlogloss:0.667057
[42]	validation_0-merror:0.233333	validation_0-mlogloss:0.664644
[43]	validation_0-merror:0.233333	validation_0-mlogloss:0.665018
[44]	validation_0-merror:0.233333	validation_0-mlogloss:0.664505
[45]	validation_0-merror:0.233333	validation_0-mlogloss:0.661917
[46]	validation_0-merror:0.233333	validation_0-mlogloss:0.660993
[47]	validation_0-merror:0.233333	validation_0-mlogloss:0.660493
[48]	validation_0-merror:0.233333	validation_0-mlogloss:0.661137
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.661688
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.661751
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.660358
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.659923
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.659448
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.660848
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.662112
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.6606
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.660319
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.658964
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.658375
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.658633
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.658155
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.65703
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.657606
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.655388
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.654301
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.654541
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.656904
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.657423
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.658089
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.655189
Stopping. Best iteration:
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.654301

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0579
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03241
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00428
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.983382
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.951774
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.928467
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.915977
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.907153
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.896561
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.884536
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.873269
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.857722
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.842197
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.82815
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.821971
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.813943
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.807964
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.803036
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.803092
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.795217
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.796594
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.792319
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.7907
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.787585
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.785879
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.783837
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.786241
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.78399
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.784497
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.783078
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.785796
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.784911
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.782643
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.78378
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.782458
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.781169
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.787323
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.791703
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.791312
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.795223
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.793857
Stopping. Best iteration:
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.781169

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06658
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03362
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.99884
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981844
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.955739
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.928932
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.908183
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.893516
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.874108
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854952
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.840397
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833609
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.811133
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.794134
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791046
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.779485
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.768175
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.759942
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.753456
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.746555
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.74156
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.740811
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736863
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.727994
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.720921
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.716071
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.715505
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.709141
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.704232
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.70246
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.704018
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.707765
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.703117
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.700769
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.695715
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.692976
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.696977
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.702627
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.69966
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.699119
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.697108
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.692976

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.05503
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.0214
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.996471
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.966974
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.957835
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.93583
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.917767
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.899517
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.883813
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.865355
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.855729
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.843394
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.833483
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.824722
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.816142
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.814189
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80257
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.790315
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.784839
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.77779
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.768325
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.760648
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.7538
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.747572
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.738254
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.735328
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.723747
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.719116
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.714644
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.707619
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.698678
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.6938
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.690144
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.686215
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.683265
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.676986
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.676091
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.673112
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.672557
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.670462
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.670407
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.669551
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.665393
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.660148
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.659996
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.659185
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.657065
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.654236
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.651034
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.653471
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.652059
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.653826
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.655748
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.657316
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.651034

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05957
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03661
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.997528
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.970834
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938883
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917164
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.894751
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.87785
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.85885
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.842085
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.825218
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.810714
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.803819
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.795427
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.787928
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.775074
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.77084
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.767594
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.767465
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.759997
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.757818
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.75374
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.751791
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.749621
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.752104
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.749853
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.746553
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.745108
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.746963
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.74206
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.74389
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.743036
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.744923
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.743666
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.745459
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.74206

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06106
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03292
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.994233
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.977921
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.947931
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.924275
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.908017
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.894366
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875189
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.864679
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.846414
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.840112
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.825368
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.809164
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.792644
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788923
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.779666
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772506
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.76275
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.752697
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.748016
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.74325
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.737184
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.728599
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.726909
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.724041
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.715199
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.709957
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.705883
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.70362
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.700992
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.697789
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.697818
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.701859
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.701003
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.706385
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.701533
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.697789

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.04961
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01117
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.978857
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.949177
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.944848
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.915179
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.896254
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.879004
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.860195
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.841356
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.825098
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.811544
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.798063
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.788212
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.779963
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.77541
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.764884
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.753946
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.747193
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.74361
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.734281
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.729667
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.719789
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.715083
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.706421
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.703897
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.696191
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.695728
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.691736
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.689855
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.687187
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.681282
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.67494
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.670726
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.6678
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.664519
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.665131
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.668444
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.673002
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.667998
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.666239
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.664519

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.06394
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02932
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.99773
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.961937
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.933499
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914091
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.895931
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.880777
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.862559
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.848062
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.838563
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.830192
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.821614
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.809777
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.802677
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.793976
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.793867
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.788526
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.783913
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.784066
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.781279
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.780786
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.776272
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.770668
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.770768
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.767484
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.762477
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.758489
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.759512
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.75496
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.755639
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.757922
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.756238
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.754119
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.754669
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.757057
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.759428
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.764098
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.764732
Stopping. Best iteration:
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.754119

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06085
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03054
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.997844
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976678
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.943465
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.924854
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.905774
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.892384
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.872629
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.859999
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.849171
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.838668
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.8228
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.812877
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.799621
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.793317
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.788428
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.781844
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.774315
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.764943
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.765834
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.763513
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.76085
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.755228
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.749326
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.746351
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.74459
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.742166
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.739656
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.736027
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.734943
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.732868
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.728611
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.734945
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.730673
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.728128
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.728318
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.726535
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.722422
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.721863
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.718083
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.717511
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.716956
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.71707
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.722608
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.722227
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.720246
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.716753
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.71967
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.723069
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.721378
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.724288
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.722861
Stopping. Best iteration:
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.716753

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05358
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02062
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.988117
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962684
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.931607
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.90531
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.886164
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.875267
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.859026
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.845003
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.833302
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.818165
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.797711
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.783278
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.773605
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.765606
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.757889
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.747861
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.741026
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.734539
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.730496
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.727096
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.721779
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.717194
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.712611
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.7066
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.701475
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.698823
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.697937
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.691936
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.689128
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.685812
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.681627
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.676143
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.67579
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.677258
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.678511
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.678128
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.67714
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.677848
Stopping. Best iteration:
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.67579

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05504
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02836
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.996886
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.974586
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.947231
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.923708
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.90848
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897995
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.885204
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.874554
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.862039
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.844421
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.828824
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.818574
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.811568
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.803497
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.793331
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.788699
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.786524
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.779975
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.779503
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.776801
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.775719
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.774168
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.773049
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.770101
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.774042
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.769136
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.769119
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.770487
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.775052
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.774889
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.774864
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.776066
Stopping. Best iteration:
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.769119

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06321
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03425
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00142
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982569
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.959994
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.933836
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.915153
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.898191
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.878993
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.862101
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.845945
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.829863
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.811162
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.798134
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.790188
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.780731
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.772797
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.762562
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.760647
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.753462
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.747775
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.745114
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.738847
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.730018
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.720993
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.716036
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.712273
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.707024
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.701394
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.698545
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.699515
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.699064
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.693874
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.691072
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.686597
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.684562
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.688694
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.691359
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.691734
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.691851
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.688707
Stopping. Best iteration:
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.684562

[0]	validation_0-merror:0.533333	validation_0-mlogloss:1.05945
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02968
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00214
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.974151
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.964205
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.93986
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.922741
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.905456
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.889455
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.870755
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.859316
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.846951
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.834928
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.824316
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.817954
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.817058
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.804945
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.793671
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.788541
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.783392
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.773188
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.764324
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.754344
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.745303
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.7368
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.734034
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.72567
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.720335
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.71631
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.711942
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.706994
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.702401
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700709
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.697359
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.696128
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.693819
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.69371
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.690261
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.691347
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.687922
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.689484
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.690199
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.688459
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.684712
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.682077
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.681956
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.681968
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.678545
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.675418
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.678912
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.675488
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.679
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.681518
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.681498
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.675418

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06013
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03549
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.998109
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.974118
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.941115
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.920036
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.898387
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.881923
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.861845
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.844199
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.827512
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.812204
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805096
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.796564
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.788917
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.778713
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.772461
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.76905
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.764484
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.761291
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.756016
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.74977
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.748548
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.746341
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.747759
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.746058
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.742699
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.737628
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.73694
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.736972
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.736755
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.734875
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.731905
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.728977
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.732219
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.737375
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.732042
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.736452
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.737058
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.728977

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06803
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.04004
[2]	validation_0-merror:0.283333	validation_0-mlogloss:1.00266
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.980111
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.953333
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.929863
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.910361
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897227
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.87881
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.863603
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.844479
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.836184
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823313
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.809029
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797411
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.794462
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.787387
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.781547
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.773583
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.763495
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.758951
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.753043
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.748453
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.740403
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.737687
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.73439
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.728349
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.722974
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.719375
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.715427
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.71135
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.707902
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.705989
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.708181
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.708366
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.710464
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.704235
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.704055
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.700729
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.699339
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.694353
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.691081
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.692792
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.689135
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.689978
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.689791
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.689465
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.690295
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.693891
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.689135

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05231
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01224
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.986084
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.957297
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.950057
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.919223
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.898752
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.881787
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.862921
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.843077
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.829601
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815346
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.801538
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.792387
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.783488
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.7796
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.767801
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.756794
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.750365
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.74678
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.735081
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.729988
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.719651
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.714017
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.704021
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.700733
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.694413
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.694337
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.689821
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.688168
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.685366
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.677814
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.673613
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.671248
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.668249
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.664312
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.662361
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.661593
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.664667
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.661376
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.661258
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.655183
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.653347
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.651277
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.648894
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.646264
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.645425
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.643822
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.642178
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.645066
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.64693
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.648114
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.648508
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.652152
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.642178

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06502
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03399
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00012
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.97198
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.943765
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922844
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.906643
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.890256
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.866367
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852982
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.843902
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.832324
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.82233
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.811404
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.807451
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.798621
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.79545
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.7912
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.788174
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.788494
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.781828
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.778897
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.774002
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.767986
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.769622
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.766896
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.763895
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.761581
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.763156
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.759652
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.764112
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.767594
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.765491
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.763586
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.762738
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.759652

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.0613
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03293
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.0015
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.973139
[4]	validation_0-merror:0.266667	validation_0-mlogloss:0.941147
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.919237
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.899981
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.884536
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.866931
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.853469
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.841023
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.828161
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.814561
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.802204
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.790098
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.784481
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.78153
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.777437
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.770146
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.761984
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.760799
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.758249
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.751772
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.742546
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.736848
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.733604
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.73176
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.728795
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.724263
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.720225
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.719417
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.716754
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.713182
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.714401
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.711061
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.711566
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.709108
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.709373
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.707035
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.705332
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.700877
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.701177
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.70095
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.701652
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.705406
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.703874
Stopping. Best iteration:
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.700877

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05466
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02089
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.991079
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.964037
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.935681
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.909852
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.888802
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.878163
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.861605
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.850008
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.836878
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.817614
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.799509
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.785506
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.776163
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.765957
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.758704
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.748581
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.74186
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.732804
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.725716
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.721909
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.716527
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.714296
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.712108
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.704173
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.699562
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.696282
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.69516
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.689841
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.685368
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.68018
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.676058
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.672
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.667658
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.671295
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.670276
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.668951
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.667403
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.668747
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.670167
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.666387
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.666609
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.66725
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.667928
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.667805
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.66764
Stopping. Best iteration:
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.666387

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0556
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02498
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.993206
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969849
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.941429
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.917924
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.899765
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.888883
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87453
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.861976
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.850498
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.833763
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.821112
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.809017
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.802837
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.794731
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.787116
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.784644
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.77961
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.775455
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.772123
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.769842
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.766102
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.762276
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.760324
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.758575
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.758537
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.758577
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.75785
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.758698
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.75792
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.758875
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.760446
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.76196
Stopping. Best iteration:
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.75785

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06797
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03897
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00537
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.987894
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.965845
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.939555
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.921611
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.904401
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.884981
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.869748
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853122
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.836723
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.81904
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.805081
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.797705
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.786704
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.772601
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.762029
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.755194
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.747671
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.74402
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.741628
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.737405
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.729051
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.721315
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.718346
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.715947
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.710819
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.704579
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.702182
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.701605
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.703477
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.697473
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.69444
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.690905
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.688983
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.691951
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.694273
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.692074
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.691026
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.689908
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.688983

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06128
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.00054
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.972818
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.964559
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.938162
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.919248
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.90055
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.883628
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.867356
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.855428
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.83989
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.827675
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.815906
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.811168
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.810203
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.798423
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.786856
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.781638
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.776155
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.765591
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.758166
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.750619
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.746613
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.73662
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.737764
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.73195
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.728907
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.72324
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.721622
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.717606
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.713234
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.712502
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.71009
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.70912
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.70718
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.708573
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.704988
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.705727
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.702954
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.703416
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.703685
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.700691
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.696835
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.696535
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.694419
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.695193
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.69156
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.690699
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.693106
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.693475
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.695563
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.696422
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.699072
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.690699

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06533
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04297
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.0066
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981242
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.94741
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.927082
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.908697
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.89066
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.871015
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.854732
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.837847
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.82299
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.818244
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.808899
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.801722
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.794844
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.788306
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.7851
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.778432
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77183
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.766552
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.759051
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.757606
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.754994
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.754272
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.751271
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.749496
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.747464
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.74433
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.74221
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.743766
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.740516
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.738257
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.735002
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.738114
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.738865
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.734124
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.739238
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.73875
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.736747
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.736247
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.734863
Stopping. Best iteration:
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.734124

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04078
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00238
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.981194
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95575
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.934158
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.912739
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.899422
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.883259
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.870752
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.84953
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.836649
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.823858
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.81043
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799024
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.796783
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.79006
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.783438
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.769872
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.765446
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.758686
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.749875
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.746775
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.736825
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.736134
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.73229
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.728215
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.722686
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.721837
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.716739
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.711278
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704876
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.705454
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.706637
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.703651
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.702518
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.697534
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.697807
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.695091
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.691171
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.68522
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.683126
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.684701
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.679943
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.678479
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.675362
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.6773
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.678129
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.678603
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.679321
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.675493
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.675362

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05034
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.0113
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.988315
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.961188
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.954259
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923992
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.901078
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.882066
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.866776
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.848827
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.831771
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.816984
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805606
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.796099
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.786765
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.783759
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775359
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.765235
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.760441
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.755731
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746008
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741035
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.728949
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.723601
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.71488
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.712076
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.705036
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.704785
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.70073
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69893
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.695422
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.688795
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.684278
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.681595
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.678546
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.672687
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.671081
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.670187
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.672487
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.664716
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.667016
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.662485
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.663289
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.662155
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.660308
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.65781
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.655933
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.652927
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.649953
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.65073
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.651442
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.651642
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.649432
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.652997
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.653078
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.655932
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.656914
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.65745
Stopping. Best iteration:
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.649432

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06286
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02949
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.998829
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.968015
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.93959
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.92159
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.906258
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.888677
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.865181
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.851002
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.841879
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.832631
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.823563
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.814425
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.808381
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799866
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.795991
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.789585
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.783255
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783162
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.776637
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.77367
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.768768
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.766599
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.767079
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.764481
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.760284
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.757388
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.756983
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.75437
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.756589
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.759914
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.757506
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.756663
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.75612
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.75437

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06684
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03552
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00184
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.973443
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.944917
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.921264
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.903662
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.888647
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.871376
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.856948
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.843782
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.832069
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.816698
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.80373
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.794385
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.788525
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.784848
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.779063
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.771881
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.763778
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.761258
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.75903
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.752472
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.744147
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.74096
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.736177
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.736294
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.732131
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.730223
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.726512
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.726728
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.72086
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.71648
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.719281
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.718012
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.721215
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.718749
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.718845
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.71648

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05723
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0229
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.993449
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967104
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.939398
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914161
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.896599
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.886015
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.866653
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.852454
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.840428
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.821152
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.807928
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.799128
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.790539
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.7817
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.771185
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.765058
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.755373
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.745768
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.739262
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.736373
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.731402
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.725595
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.721679
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.715169
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.713353
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.710676
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.710388
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.705069
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.700425
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.695802
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.694047
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.690756
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.687811
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.685836
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.683695
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.681215
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.679537
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.679104
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.679394
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.679927
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.678724
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.678769
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.679476
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.679352
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.677429
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.677146
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.679148
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.677867
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.67707
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.677657
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.676005
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.676278
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.679501
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.679353
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.679906
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.68007
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.676005

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05738
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02806
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.999564
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.978997
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.946137
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.924083
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.909845
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.899657
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.890426
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.877872
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.865565
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.854913
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.841202
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.828818
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.82256
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.818331
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.809926
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.806231
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.80508
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.799863
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.798483
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.797314
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.79388
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.791489
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.789709
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.7852
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.787011
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.785309
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.784961
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.784363
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.784396
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.785593
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.784974
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.787084
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.786964
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.784363

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06214
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02997
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.997659
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.978992
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.955198
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.928901
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.912916
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.900252
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.88189
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.867835
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.849559
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.832212
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.812859
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.801224
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.793052
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.787099
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.773905
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.763639
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.758489
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.749338
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.745236
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.742563
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.734326
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.72647
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.717293
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.714382
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.712837
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.710416
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.704363
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.703901
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.704825
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.702129
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.700157
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.696776
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.693971
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.692255
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.693052
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.695967
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.694992
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.693477
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.692024
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.690777
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.689575
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.688963
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.692223
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.691184
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.690701
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.690601
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.690057
Stopping. Best iteration:
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.688963

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02709
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.997797
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.970545
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.961793
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.938023
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.92001
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.902715
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.884745
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.863433
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.850482
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.836175
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.822653
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.810832
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.801094
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.799079
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.786595
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.775445
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.769645
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.765043
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.758124
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750889
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.747875
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.741906
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.73127
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.731144
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.723358
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.720468
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.714293
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.711212
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.708428
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.704062
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.702656
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.700435
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.699775
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.695564
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.696058
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.694572
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.69729
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.696452
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.699091
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.699194
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.698693
Stopping. Best iteration:
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.694572

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06237
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03979
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00542
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.979812
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.947386
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.929179
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.910729
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.894207
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.877208
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.860415
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.842581
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.827423
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.820447
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.811057
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.804265
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.798361
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.792698
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.784118
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.778084
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.770444
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.76734
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.762667
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.761118
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.758885
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.757762
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.755959
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.754696
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.751163
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.74862
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.746839
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.746907
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.744845
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.74474
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.744426
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.747341
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.745992
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.743545
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.743395
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.743561
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.743627
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.741034
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.73726
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.737695
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.737524
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.738337
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.737001
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.737346
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.733869
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.734678
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.734424
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.730413
[51]	validation_0-merror:0.366667	validation_0-mlogloss:0.732312
[52]	validation_0-merror:0.366667	validation_0-mlogloss:0.730991
[53]	validation_0-merror:0.366667	validation_0-mlogloss:0.732021
[54]	validation_0-merror:0.366667	validation_0-mlogloss:0.739477
[55]	validation_0-merror:0.366667	validation_0-mlogloss:0.741032
Stopping. Best iteration:
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.730413

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06523
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.036
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.997275
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.976128
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.953391
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.928075
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.912282
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.897811
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.879006
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.867463
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.848211
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.834841
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.82276
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.808387
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797019
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.79591
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.789787
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.784923
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.778193
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.773795
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.767809
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.763052
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.762375
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.756433
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.755967
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.75234
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.746749
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.740113
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.738647
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.73351
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.72978
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.726849
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.727347
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.72691
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.724726
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.723397
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.71786
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.719596
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.716911
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.714862
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.708816
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.707189
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.708351
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.704292
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.700036
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.693537
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.693625
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.69434
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.692756
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.694363
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.690438
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.688794
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.684701
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.685855
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.691327
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.690352
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.690745
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.690698
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.684701

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05087
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01291
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.986075
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957666
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.951163
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.924585
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.906545
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887219
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.869906
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.850605
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.835657
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.821992
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808549
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.79993
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.791169
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78607
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776794
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.765231
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759218
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753569
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.745065
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.740401
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.730141
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.722309
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.71324
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.709162
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.702781
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.702887
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699939
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.698878
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.695757
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.690566
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.687389
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.684434
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.683716
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.677823
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.676178
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.673687
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.675724
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.673575
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.675404
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.671559
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.671391
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.670538
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.669102
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.666628
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.666438
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.664539
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.662968
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.660321
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.661086
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.663369
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.663047
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.663708
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.664929
Stopping. Best iteration:
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.660321

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06325
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02935
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998514
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967407
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939631
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.922086
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.906829
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.890674
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.86906
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.852981
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.840346
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.828425
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.822972
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.811709
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.805848
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.797844
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.794374
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.787499
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.782239
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.778381
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.774527
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.768927
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.765463
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.761923
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.762146
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.759416
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.754976
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.751027
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.749484
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.746165
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.747778
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.748107
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.74612
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.746898
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.746775
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.746329
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.747134
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.749029
Stopping. Best iteration:
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.74612

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06594
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03723
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00678
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.979286
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.958339
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.935581
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.915812
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.902914
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.88737
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.869205
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.856026
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.844887
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.831243
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.819748
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.809764
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.803949
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.799418
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.791911
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.785896
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.776208
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.773758
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.771161
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.763999
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.757639
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.757845
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.752831
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.752938
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.747816
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.744603
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.740925
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.743723
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.737118
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.731386
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.733162
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.729057
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.729026
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.725219
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.725031
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.722204
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.723826
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.718786
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.718326
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.719017
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.720406
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.721859
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.721022
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.716424
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.716044
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.7171
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.720235
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.715017
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.715963
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.71411
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.713793
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.717501
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.716506
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.714363
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.713789
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.712396
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.712962
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.713548
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.716644
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.719634
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.721359
Stopping. Best iteration:
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.712396

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05698
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02288
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.993037
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.967213
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.939434
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914048
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.89602
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.884341
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.864334
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.849952
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.835355
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.816926
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.798515
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.783703
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.775657
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.765721
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.756951
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.748008
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.737954
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.7277
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.723564
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.722327
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.715794
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.710041
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.706079
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.702139
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.702261
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.696572
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.694748
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.689199
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.688702
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.683468
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.682146
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.679158
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.678798
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.675004
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.67454
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.672561
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.671709
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.672355
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.671524
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.670427
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.669953
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.67083
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.67269
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.671881
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.668999
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.672796
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.672732
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.672298
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.672392
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.675397
Stopping. Best iteration:
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.668999

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05952
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03021
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.99853
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.98004
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.949282
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.926707
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.912225
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.902914
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.89168
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.877633
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.865179
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.853623
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.840314
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.827386
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.819685
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.816389
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.808478
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.804221
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.797854
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.794333
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.791617
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.790094
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.786138
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.782212
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.780047
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.777344
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.774835
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.773167
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.772191
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.770619
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.772242
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.773534
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.773173
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.774158
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.773857
Stopping. Best iteration:
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.770619

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06678
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03343
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00229
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982148
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.957681
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.928592
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.912108
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.900639
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.880659
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.865535
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.84769
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.828831
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808943
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.7953
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.787049
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.77995
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.766729
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.757645
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.751226
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.742459
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.738238
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.732846
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.725712
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.717283
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.709812
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.706178
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.702116
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.696
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.690566
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.687669
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.687337
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.690739
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.690098
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.688869
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.687506
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.688684
Stopping. Best iteration:
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.687337

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05651
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02071
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.991115
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.958273
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.950185
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92495
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.906
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.888262
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.871587
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.851761
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.839623
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.826878
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.81478
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.803015
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.796641
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.798507
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.785607
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.773687
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.765104
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.756949
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.747757
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.738328
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.727669
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.71925
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.713168
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.711486
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.699219
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.695358
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.691176
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.683417
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.676678
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.672358
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.670045
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.667756
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.662356
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.659306
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.656948
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.649184
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.652526
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.648987
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.651177
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.647216
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.645933
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.645389
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.643166
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.642435
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.642065
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.640237
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.638641
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.639913
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.637965
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.640045
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.640164
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.644388
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.644
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.645374
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.637965

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05889
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03467
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.995581
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.970179
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.934272
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.910746
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.887395
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.871863
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.852329
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.834292
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.820225
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.810174
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.807161
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.798222
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.7926
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.780679
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.775888
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.771077
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.769684
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.764134
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.76167
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.755637
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.756669
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.7525
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.751523
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.750375
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.745878
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.740481
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.73613
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.737651
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.734918
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.736827
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.736647
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.735323
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.742543
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.74077
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.734918

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06059
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.03283
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.993314
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.969068
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.936968
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.912168
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.897329
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.884544
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.870335
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.858755
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.844173
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.833775
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.821271
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809555
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.792732
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.7846
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776454
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.772406
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.763307
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.758721
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.758328
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.756611
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.753483
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.743241
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.742869
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.742089
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.734104
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.733045
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.730024
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.725905
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.724486
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.728643
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.728874
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.733323
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.735275
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.739601
Stopping. Best iteration:
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.724486

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05242
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01123
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.979208
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.950255
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.946396
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.917151
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.896374
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.881344
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.863679
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.845526
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828694
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.818891
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.807415
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.795644
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.787195
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.782933
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773418
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.765759
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.760657
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.754974
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.74583
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.740172
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.727274
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.719551
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.71186
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.709717
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.70248
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.703252
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.699494
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.698162
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.695469
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.688495
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.683831
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.681612
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.681261
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.676999
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.675041
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.678595
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.681765
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.679299
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.680236
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.674069
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.67279
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.670531
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.66686
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.665375
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.662984
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.663231
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.661813
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.662444
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.662665
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.665672
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.667069
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.670757
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.661813

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06215
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03157
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.998467
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.96896
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938863
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.919798
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.897331
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.881661
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.855902
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.8438
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.832436
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.825642
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.816644
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.807265
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.800492
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.793437
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.793158
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.789633
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.785539
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.78383
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.779445
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.777995
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.772734
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.768748
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.771653
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.769026
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.76634
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.768254
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.76984
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.765724
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.765628
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.767831
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.768619
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.765933
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.766934
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.763841
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.765782
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.771232
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.769652
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.768515
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.769448
Stopping. Best iteration:
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.763841

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06393
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03084
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.999863
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.979868
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955011
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.942623
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.932829
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.924103
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.908857
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.896509
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.881788
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.868029
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.855755
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.846295
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.834735
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.832196
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.829068
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.821438
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.810904
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.804113
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.808356
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.803326
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.803003
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.797711
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.794107
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.79369
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.788926
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.787932
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.782289
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.780019
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.779398
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.77707
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.775086
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.775741
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.776155
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.7774
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.781016
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.778454
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.775086

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05218
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01976
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.987194
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.959213
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.923736
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.899843
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.883497
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873307
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.85699
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.844744
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.833133
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.818493
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.79748
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.780217
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.771137
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.760352
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.751775
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.743761
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.735639
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.724295
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.720068
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.71507
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.710106
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.703529
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.699357
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.694696
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.691753
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.688813
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.687471
[29]	validation_0-merror:0.233333	validation_0-mlogloss:0.682237
[30]	validation_0-merror:0.233333	validation_0-mlogloss:0.679749
[31]	validation_0-merror:0.233333	validation_0-mlogloss:0.676442
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.673071
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.672752
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.672528
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.672614
[36]	validation_0-merror:0.233333	validation_0-mlogloss:0.67302
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.675689
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.676191
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.674203
Stopping. Best iteration:
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.672528

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05759
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03179
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00137
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.984316
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.960491
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.938798
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.925247
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.918696
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.906352
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.893675
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.880519
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.866777
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.850229
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.838342
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.830745
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.824959
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.8162
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.810876
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.804549
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.798212
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.799749
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.796079
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.795491
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.792951
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.789876
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.788838
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.79183
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.792615
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.795082
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.794639
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.796489
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.788838

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06064
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03257
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.997701
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976618
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.956113
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.930375
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.907855
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897625
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87681
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.857909
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.846678
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.83845
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.819035
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808022
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.804445
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.798988
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.78871
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.781327
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.77839
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.771866
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.765177
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.767963
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.763134
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.754565
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.749519
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.746838
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.745861
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.744158
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.746058
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.745679
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.747592
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.748945
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.744675
Stopping. Best iteration:
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.744158

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.05596
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02161
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.994682
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.966924
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.958075
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.936527
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.918495
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.899803
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.882298
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.86463
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.854716
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.84188
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.832317
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.823381
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.816098
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.816221
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.806027
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.796018
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.789648
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.782226
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.773261
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.763684
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.752755
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.747748
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.73762
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.735373
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.72439
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.719542
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.715223
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.707008
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.698461
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.694088
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.693202
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.691502
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.688647
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.682353
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.680427
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.677303
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.677475
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.676713
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.677328
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.675552
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.671118
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.66959
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.669447
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.669996
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.669327
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.666343
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.664392
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.666135
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.662965
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.665007
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.665435
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.665298
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.664758
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.663525
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.662965

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05957
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03632
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997965
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.974944
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.942803
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.922011
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.899063
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.883219
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.864367
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.849294
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.831559
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.817001
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.811343
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.803528
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.795155
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.781229
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.773749
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.771791
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.770989
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.763901
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.760967
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.757486
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.755481
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.754388
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.75373
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.750869
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.749557
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.748041
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.749798
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.747179
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.750796
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.752953
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.753134
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.751099
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.75449
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.747179

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0598
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03266
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.994967
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.97865
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.947333
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.924019
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.905689
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.89331
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.878621
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.869292
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.851689
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.845481
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.830914
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.814679
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.799059
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.798772
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.789437
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.782633
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.772484
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.765841
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.762294
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.759066
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.756725
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.748936
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.748138
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.746331
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.74013
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.736536
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.731119
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.729451
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.728457
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.728397
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.72917
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.732068
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.735082
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.741974
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.738655
Stopping. Best iteration:
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.728397

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05104
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01076
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.976546
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.947758
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.944416
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.914714
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.893383
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.875629
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.856067
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.837417
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.820573
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807127
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.793275
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.779056
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.771876
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.767084
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.75783
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.745851
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.739422
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.736295
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.728174
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.722155
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.71277
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.707796
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.701896
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.699014
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.691734
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.692176
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.687743
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.686111
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.681281
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.67445
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.669651
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.665366
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.66263
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.658824
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.658587
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.655866
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.6579
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.652713
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.652752
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.648661
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.647089
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.644357
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.642957
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.642457
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.642123
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.641773
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.641975
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.64371
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.644973
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.64633
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.644703
Stopping. Best iteration:
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.641773

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.06304
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02974
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.998647
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.96719
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.934282
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.914037
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.894607
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.880889
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.858978
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846385
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.836152
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.827488
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.819417
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.80911
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.803725
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.792721
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.792538
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.789641
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.78541
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.786048
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.784317
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.781962
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.777506
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.77234
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.772498
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.769987
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.765555
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.762528
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.764068
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.760855
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.766135
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.768855
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.767142
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.761787
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.761529
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.760855

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06175
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03369
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00247
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.980377
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.950434
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.933366
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.914787
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.899345
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.881091
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.866929
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.855972
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.842912
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.827812
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.817364
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.802167
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.797774
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.79325
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.78701
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.780568
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.771408
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.772993
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.773198
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.767924
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.762365
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.760442
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.756926
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.752498
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.750126
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.74482
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.740353
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.738196
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.735795
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.732507
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.735674
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.733839
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.737031
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.734119
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.731895
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.729448
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.727091
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.725861
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.72489
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.723077
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.725735
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.729322
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.728617
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.726453
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.724605
Stopping. Best iteration:
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.723077

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05441
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02315
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.989846
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.964462
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.932654
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.908252
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.891743
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.87941
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.861779
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.850568
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.838917
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.826635
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.804412
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.789401
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.780418
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.771938
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.763631
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.753773
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.745108
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.738006
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.732673
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.727355
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.722296
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.716742
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.712739
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.707942
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.703303
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.696751
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.69702
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.693002
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.688047
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.689067
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.687056
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.687778
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.686186
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.685095
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.683255
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.681055
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.678785
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.67885
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.677635
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.676469
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.674949
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.676963
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.679792
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.680287
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.680094
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.680957
Stopping. Best iteration:
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.674949

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0569
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03084
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998853
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.980749
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955913
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.934461
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.918145
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.90756
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.896949
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.885798
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.874071
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.856704
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.840882
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.832183
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.823463
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.8156
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.805613
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.799836
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79244
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.787327
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.785958
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.784703
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.782856
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.777951
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.776404
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.774561
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.776134
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.773
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.768361
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.769414
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.771725
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.773655
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.774641
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.775492
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.768361

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05932
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03257
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.999498
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.97868
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95678
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.932393
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.916957
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.904184
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.885512
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.869988
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.855345
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.838826
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.819459
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.807171
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.801521
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.78922
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.782142
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.779592
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.772443
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.766714
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.761696
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.757613
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.752567
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.745094
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.74028
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.73523
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.732203
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.73131
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.726954
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.726642
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.726723
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.729761
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.725359
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.72426
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.720342
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.718495
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.722014
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.722888
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.721028
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.721816
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.719603
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.718495

[0]	validation_0-merror:0.533333	validation_0-mlogloss:1.05945
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02883
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.998949
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.973125
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.963735
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.940205
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.923498
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.906375
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.890284
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.873573
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.864019
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.852828
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.840314
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.831794
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.824538
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.822854
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.810754
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.799353
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.794292
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.789085
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.778239
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.770209
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.760206
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.751965
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.743154
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.740753
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.73228
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.723632
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.717924
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712702
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.707874
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.7009
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.70024
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.694598
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.694385
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.691874
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.690995
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.688778
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.690091
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.686742
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.688438
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.688648
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.68684
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.683762
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.680389
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.679697
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.680878
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.677499
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.673671
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.677126
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.67235
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.675778
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.677369
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.677318
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.678366
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.680238
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.67235

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06013
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03415
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997853
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976479
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.943022
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922599
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.906097
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.891193
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.873059
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.855836
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.837361
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.824163
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.820043
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.808588
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.803368
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.792409
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.784532
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.780324
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.776923
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.772461
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.766699
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.759068
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.757878
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.757601
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.760861
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.759268
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.755991
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.751204
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.75064
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.752915
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.753587
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.752388
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.746539
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.746072
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.749632
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.75286
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.748024
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.752654
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.752972
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.746072

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06825
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03793
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00177
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.979205
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.952554
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.927349
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.909975
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.897356
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.88223
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.871216
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.852377
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.844189
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.831038
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.816423
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.803542
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.802804
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.794613
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.789712
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.782398
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.774316
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.767264
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.760698
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.755889
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.748074
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.746062
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.741617
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.735966
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.731584
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.731237
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.727035
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.723036
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.718714
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.716911
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.717533
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.715027
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.716745
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.714281
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.714031
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.710993
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.709296
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.703933
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.700677
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.702217
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.698751
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.69959
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.699388
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.69899
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.699731
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.70312
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.698751

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05191
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01332
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98527
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.959399
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.953782
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.922187
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.902145
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.883997
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.865518
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847842
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.834009
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.818356
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805176
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.790715
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.782383
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.778762
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.767058
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.756238
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.74975
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.745263
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.735047
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.730357
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.722233
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.716787
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.709109
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.706318
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.701126
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.699335
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.693853
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.691108
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.688522
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.680964
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.677082
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.674
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.672559
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.668392
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.668576
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.664736
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.667262
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.664766
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.665242
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.659147
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.657196
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.655464
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.653637
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.649668
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.649262
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.648337
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.648259
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.650084
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.651431
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.652549
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.651917
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.655912
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.648259

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0633
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0336
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00065
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.966998
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.935619
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.91475
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.898248
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.882925
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.858495
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.842969
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.831186
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.81937
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.812149
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.800906
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.796995
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788971
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.786373
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.780991
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.776581
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.775505
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.768928
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.766175
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.760493
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.755799
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.756689
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.755441
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.752768
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.751563
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.754624
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.754862
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.760123
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.764626
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.766248
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.751563

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06263
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03437
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.0044
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.975991
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.943538
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.920731
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.898602
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.883867
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.868628
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.855105
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.840044
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.827967
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.814861
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.802972
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.789698
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.786698
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.781663
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.775925
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.76927
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.76342
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.762379
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.759645
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.754053
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.747193
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.743243
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.739959
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.737816
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.734801
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.731018
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.724093
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.726229
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.72321
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.719366
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.722936
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.721438
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.722281
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.721307
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.720885
Stopping. Best iteration:
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.719366

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05556
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02263
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992587
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966848
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.937994
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.913574
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.895292
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.886054
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.866854
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.855945
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.84371
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.82641
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.809101
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.797997
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.787183
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.776644
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.766441
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.757689
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.748061
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.741449
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.732751
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.728679
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.723686
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.718269
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.713971
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.706417
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.700827
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.69593
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.694261
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.689384
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.68434
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.681089
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.680129
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.676745
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.675686
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.675572
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.673715
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.6737
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.672902
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.671421
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.672783
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.671112
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.672752
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.674085
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.672591
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.673745
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.673232
Stopping. Best iteration:
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.671112

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05932
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03242
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999134
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.980459
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955998
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.933953
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.917603
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.90927
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.897334
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.884626
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.875175
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.85952
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.845003
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.83308
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.827298
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.816015
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.808849
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.807214
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.801311
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.797701
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.792135
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.788083
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.783219
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.779853
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.77798
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.775944
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.776839
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.776577
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.775332
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.775248
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.776865
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.777425
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.775708
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.77705
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.777474
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.775248

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06378
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.0351
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00078
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981908
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.958998
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.93182
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.916621
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.901446
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.881195
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.864802
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.848292
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.832194
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.811615
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.800652
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.793005
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.781016
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.769503
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.761968
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.75637
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.753119
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.750085
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.74828
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.742925
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.736729
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.729629
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.726044
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.724228
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.720749
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.716759
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.71483
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.714776
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.717609
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.71475
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.712662
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.711675
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.710037
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.712381
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.715354
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.713401
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.712937
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.710809
Stopping. Best iteration:
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.710037

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06128
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998155
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.972639
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.964555
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.938156
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.919305
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.904021
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.887284
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.870465
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.859862
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.844928
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831485
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.820864
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.815095
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.812968
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80069
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.788928
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.783221
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.777427
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.768146
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.76031
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.752812
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.7493
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.739199
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.740064
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.733548
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.730756
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.725033
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.721862
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.716111
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.711207
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.711786
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70819
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707156
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.705747
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.7074
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.704083
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.707038
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.704937
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.708234
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.704285
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.701627
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.696899
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.698038
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.695907
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.697822
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.695936
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.695131
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.698698
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.698993
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.702585
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.703602
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.703442
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.695131

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06533
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04297
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.0066
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982471
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950579
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.930601
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.912368
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.893735
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.87568
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.859966
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.842686
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833959
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.829296
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.82016
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.813224
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806181
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800177
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.794883
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.787202
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.780661
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775524
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.76834
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.766956
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.765279
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.76444
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.761343
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.759745
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.757836
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.754714
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.752507
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.752502
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.749353
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747138
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.746323
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.748018
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.750223
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.745648
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.749624
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.749421
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.748463
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.745499
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.742384
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.743051
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.742577
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.740672
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.743042
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.743674
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.743435
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.748033
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.747086
Stopping. Best iteration:
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.740672

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04078
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00238
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.981194
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95575
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932988
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.911602
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.8983
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.883418
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.870832
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849772
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.837061
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.82408
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808817
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797392
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795548
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.78884
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.782301
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.768802
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.765972
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.759306
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.750695
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.747612
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.737814
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.736958
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.732947
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.72815
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.722253
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.721421
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.715637
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.710268
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706613
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.706971
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.708223
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.706233
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.705341
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.697662
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.698163
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.696036
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.69226
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.686393
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.683997
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.685793
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.681404
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.67977
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676546
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.678228
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.678334
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.681006
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.682115
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.678277
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676546

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01258
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.987735
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.957647
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950047
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.91936
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897395
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.879686
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864528
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845539
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.831532
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.817139
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.806432
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.797269
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.787938
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786371
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.778145
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.766918
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759846
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.755077
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.746052
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.74287
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.731268
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.726062
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.716503
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.715166
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.707255
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.706284
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.702216
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.70004
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.695526
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.689349
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.685539
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.682758
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.680424
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.675206
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.675045
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.674122
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.675811
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.671313
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.673462
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.668541
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.668188
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.667264
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.665672
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.663571
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.661282
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.659112
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.656216
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.65588
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.656093
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.657083
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.656346
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.658707
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.658622
Stopping. Best iteration:
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.65588

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06286
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02716
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.997132
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.967021
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.935384
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.916334
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.901325
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.884574
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.859724
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845253
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.836565
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.827451
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.820745
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.811755
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.80711
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.799821
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.796741
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.790772
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.783311
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.784541
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.779062
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.776136
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.772612
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.771289
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.772405
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.770293
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.766292
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.765329
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.763952
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.762259
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.765575
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.765074
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.765302
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.765806
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.766221
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.762259

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06736
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03604
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00298
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.974578
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.946013
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.921892
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.901509
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.886389
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.868291
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.855427
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.84201
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.832637
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.818104
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.805956
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.796926
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.793975
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.789595
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.784321
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.775464
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.767447
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.764236
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.761181
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.753587
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.74464
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.741619
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.738043
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.736223
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.730591
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.728381
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.724079
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.723761
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.718004
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.71177
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.717932
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.715899
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.71934
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.715469
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.715159
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.71177

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05701
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02398
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994111
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.96959
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.940245
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.914816
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.895065
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.883695
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.863135
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.853334
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.83866
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.821838
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.803404
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79306
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.784026
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.774904
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.764314
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.756037
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.746058
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.738754
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.731008
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.725094
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.721564
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.713564
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.711121
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.702886
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.70127
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.698706
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699167
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.696784
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.697388
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.694559
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.692689
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.690847
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.691704
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.690004
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.688639
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.686642
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.685825
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.683813
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.685467
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.684773
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.685803
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.685797
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.688731
Stopping. Best iteration:
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.683813

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.0593
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03123
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00053
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.981541
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.950761
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.929801
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.914656
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.907994
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.896734
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.884112
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.872596
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.862247
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.848487
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.8364
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.82823
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.817544
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.809864
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.807052
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.803754
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.799201
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.797787
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.795132
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.791059
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.787215
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.786204
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.784473
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.786132
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.787285
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.786581
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.786362
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.788063
Stopping. Best iteration:
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.784473

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06214
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02872
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996058
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.975585
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.952857
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.926139
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.910484
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.897444
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.87867
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.863826
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.845722
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.828408
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.81452
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.803521
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.79857
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.789913
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.775338
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.765342
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.762482
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.756569
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.753084
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.753871
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.747433
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.737502
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.731484
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.729564
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.728366
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.722318
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.71762
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.711932
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.713371
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.711389
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.707909
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.706279
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.704717
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.702514
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.705668
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.707305
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.706343
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.705779
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.704402
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.702514

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02709
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.997797
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.970545
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.961793
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.939563
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.921597
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.903881
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.885888
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.864563
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.851558
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.837323
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823874
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.811944
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.802237
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.800252
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.787881
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.776584
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.77117
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.767456
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760578
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.753228
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.750189
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.744212
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.733618
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.732867
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.725026
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.722141
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.715908
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.714761
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.708066
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703774
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.701829
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.699772
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.699027
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.694995
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.696241
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.694674
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.697514
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.696678
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.698785
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.698521
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.697626
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.694674

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06237
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03979
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00542
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.981143
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.949636
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.931461
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.912704
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.896518
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879604
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.863222
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.845864
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.836329
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.829403
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.817846
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.810734
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.804684
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.799143
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.790672
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.786369
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.779631
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775745
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.771031
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.769682
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.766959
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.765911
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.764389
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.763426
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.76097
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.756997
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.755139
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.755197
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.75236
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.75145
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.751232
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.754029
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.75152
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.749968
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.749717
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.74969
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.75031
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.748021
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.74499
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.745509
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.745259
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.746568
[45]	validation_0-merror:0.383333	validation_0-mlogloss:0.745034
[46]	validation_0-merror:0.383333	validation_0-mlogloss:0.745599
Stopping. Best iteration:
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.74499

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06523
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.036
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.997275
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.976128
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.953391
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.928075
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.912282
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.897811
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.879006
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.867619
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.848356
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.834958
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.822842
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.808465
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.797099
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795265
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.789023
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.783688
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.777234
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.772994
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.767138
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.761956
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.761437
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.755525
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.755058
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.751414
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.745797
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739081
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.737517
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.732287
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.729494
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.726714
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.727301
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.727031
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.72492
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.723026
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.717299
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.716727
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.713958
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.711892
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.706067
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.703931
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.705067
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.700589
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.696309
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.690414
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.690613
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.691497
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.690884
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.692506
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.68868
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.687008
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.683168
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.684278
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.689713
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.688831
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.689288
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.690255
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.683168

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05087
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01395
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985301
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957111
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.94899
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.921943
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.905768
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.886583
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.869548
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.847951
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834539
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.821748
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808833
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.800496
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.791738
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.786861
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.777741
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.766056
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.76029
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.755021
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.74766
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.743892
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.733269
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.725346
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.717459
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.715048
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.709717
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.709583
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.706482
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.705087
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.700845
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.696997
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.693703
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.69142
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.690663
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.685228
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.683762
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.681668
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.684281
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.682511
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.684255
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.680396
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.679473
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.67848
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.677089
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.674604
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.673416
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.67139
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.667601
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.66716
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.667715
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.669359
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.669008
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.669918
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.671343
Stopping. Best iteration:
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.66716

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06325
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0279
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.997754
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.966974
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.937657
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.919284
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.904242
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.888285
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.866764
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.852036
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.839558
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.827587
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.821264
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.812073
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.807459
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.79931
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.79581
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.791014
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.78673
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783359
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.781039
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.775424
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.769688
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.766505
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.765932
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.763562
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.760261
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.756401
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.752206
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751195
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.753473
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.753803
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.753009
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.752065
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.751875
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751195

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06594
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03723
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00757
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.98003
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.959036
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.936189
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.916732
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.903786
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.888259
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.870916
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.857655
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.846503
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.832415
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.820815
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.812389
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.808427
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.803739
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.796777
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.791406
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.782243
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.779885
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.778238
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.771972
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.766603
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.767011
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.760232
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.759818
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.753661
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.750579
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.748772
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751677
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.745203
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.739013
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.73929
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.735182
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.734244
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.732413
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.73178
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.731021
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.731037
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.726193
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.724287
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.72476
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.724935
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.725816
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.721909
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.717368
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.717587
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.720199
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.723901
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.717444
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.718076
Stopping. Best iteration:
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.717368

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02396
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.994106
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.969025
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.940978
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917571
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.898006
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.884828
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.862865
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.850161
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.836061
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.818805
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.7999
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.785025
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.776403
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.765961
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.755298
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.746747
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.736469
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.728021
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.720551
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.717713
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.711896
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.706784
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.702704
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.694225
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.692622
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.6904
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.689253
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.685775
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.683509
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.677872
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.677406
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.673304
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.675309
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.672749
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.67177
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.670098
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.670587
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.669327
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.671899
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.673255
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.673047
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.671983
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.676352
Stopping. Best iteration:
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.669327

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05929
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00051
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.982945
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.956
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.932197
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.91809
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.911624
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.901495
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.887411
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.874521
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.864427
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.851117
[13]	validation_0-merror:0.416667	validation_0-mlogloss:0.838411
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.830731
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.819003
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.81112
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.807789
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.805144
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.803297
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.79974
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.797889
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.793791
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.789807
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.787606
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.785989
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.784604
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.783298
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.782133
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.780989
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.782526
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.782118
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.781389
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.781955
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.782287
Stopping. Best iteration:
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.780989

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06678
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03173
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00069
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.98049
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.956083
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.927114
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.911418
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.900697
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.881699
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.865138
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.8482
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.831211
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.813909
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.802252
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.794898
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787862
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773919
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.763979
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.760813
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.75035
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743372
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741627
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.734238
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.726288
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.719658
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.714214
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.711429
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.707548
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.701304
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.699988
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.70013
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.698704
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.697526
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.696227
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.694301
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.695687
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.698142
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.695733
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.694568
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.693077
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.690957
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.690372
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.688129
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.68811
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.688631
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.689306
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.689301
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.689214
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.689124
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.68811

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05651
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02134
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.991782
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.958686
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.951365
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.927162
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.907929
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.891645
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.876056
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.857781
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.846732
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.833715
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.820869
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809571
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.800914
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.80222
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.788359
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.778866
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.771327
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.763456
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.756818
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745703
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.734416
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.725827
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.718969
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.715436
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.702514
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.701302
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.69533
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.68766
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.680395
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.676687
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.676425
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.67377
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.671077
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.667527
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.664794
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.661727
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.663843
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.659602
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.662097
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.660501
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.66004
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.65837
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.656619
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.65409
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.654527
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.652429
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.652529
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.654441
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.653795
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.653591
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.65339
Stopping. Best iteration:
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.652429

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05889
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.03307
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.993996
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.9679
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.937053
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914708
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.891322
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.877178
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857641
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.837953
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.82387
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.81367
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.809501
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.800239
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.796232
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.784535
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.779564
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.776931
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.775537
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.774075
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.773133
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.763033
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.763077
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.759548
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.759141
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.759229
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.754925
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.74989
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.743361
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.744383
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.743137
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.741605
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.740415
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.743558
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.749325
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.751307
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.745674
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.747761
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.740415

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06067
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.03292
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.993709
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.969517
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.937038
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.915656
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.900571
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.887567
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.871802
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.859815
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.845133
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.834551
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.820604
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.808676
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.792017
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.785848
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775904
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.771994
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.763911
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.758837
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.758036
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.757447
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.752149
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.740703
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.740253
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.738796
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.730358
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.728813
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.726087
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.721715
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.720214
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.724026
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.722989
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.727043
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.725802
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.729239
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.720214

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05201
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01215
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.979937
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.950287
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.948911
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.920002
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.897435
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.884064
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.869406
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.852035
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834237
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.828554
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.81536
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.80101
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792631
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789544
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.78024
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.773357
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.768472
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762704
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.752155
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.747374
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.738621
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.726531
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.719445
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.715951
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.709131
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.711489
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709328
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.707654
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.705361
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.698325
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.692752
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.696311
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.695373
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.692662
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.691071
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.69399
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.695843
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.695451
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.696713
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.693554
Stopping. Best iteration:
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.691071

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06159
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03394
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00561
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.975033
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.947495
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.92905
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.908555
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.892343
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.867056
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.856281
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.848815
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.841042
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.834015
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.823538
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.816565
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.803781
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.804668
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.803737
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.797085
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.793789
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.791166
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.788034
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.781921
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.780401
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.781517
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.781485
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.779146
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.778578
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.779455
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.777086
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.778478
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.780353
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.782429
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.778793
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.781065
Stopping. Best iteration:
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.777086

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06432
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03121
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00144
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.981523
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.957279
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.948579
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.939206
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.930944
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.91327
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.902749
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.888242
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.873266
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.861545
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.855912
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.845928
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.845771
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.840715
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.833014
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.821871
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.814035
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.818377
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.813473
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.813404
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.807094
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.803613
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.80264
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.797771
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.798058
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.793665
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.790814
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.78888
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.786348
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.783849
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.783102
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.783735
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.784799
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.787122
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.785227
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.784145
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.783102

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05266
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02218
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.989808
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.961731
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.927659
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.903301
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.887817
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.876577
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.860424
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.848102
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.839224
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822659
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.801337
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.784214
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.775826
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.76505
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.755368
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.749185
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.740419
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.728949
[20]	validation_0-merror:0.233333	validation_0-mlogloss:0.724246
[21]	validation_0-merror:0.233333	validation_0-mlogloss:0.719552
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.717273
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.711648
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.709024
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.703474
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.701955
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.696493
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.696715
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.69214
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.689243
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.68367
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.681924
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.677184
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.671843
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.670178
[36]	validation_0-merror:0.233333	validation_0-mlogloss:0.669707
[37]	validation_0-merror:0.233333	validation_0-mlogloss:0.667626
[38]	validation_0-merror:0.233333	validation_0-mlogloss:0.666038
[39]	validation_0-merror:0.233333	validation_0-mlogloss:0.666999
[40]	validation_0-merror:0.233333	validation_0-mlogloss:0.665559
[41]	validation_0-merror:0.233333	validation_0-mlogloss:0.664445
[42]	validation_0-merror:0.233333	validation_0-mlogloss:0.660819
[43]	validation_0-merror:0.233333	validation_0-mlogloss:0.66341
[44]	validation_0-merror:0.233333	validation_0-mlogloss:0.662693
[45]	validation_0-merror:0.233333	validation_0-mlogloss:0.664294
[46]	validation_0-merror:0.233333	validation_0-mlogloss:0.667066
[47]	validation_0-merror:0.233333	validation_0-mlogloss:0.666586
Stopping. Best iteration:
[42]	validation_0-merror:0.233333	validation_0-mlogloss:0.660819

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05714
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03128
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00554
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.98941
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.959219
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935322
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.92309
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.918837
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.905457
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.892072
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.879664
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.867886
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.853313
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.841284
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.834471
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.829121
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.819214
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.815831
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.81511
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.812687
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.812932
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.809885
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.80908
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.805531
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.801551
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.797942
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.801047
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.804486
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.804411
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.805201
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.806182
Stopping. Best iteration:
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.797942

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06064
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03458
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.999883
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.980447
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.957892
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.935769
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.912327
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.903188
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.881689
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.863614
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.851966
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.840075
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.818347
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.806482
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.801872
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.797873
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.786842
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.781323
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.775938
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.770518
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.765408
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.769047
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.761518
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.757562
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.754288
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.751476
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.750058
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.747153
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.742835
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.742925
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.741565
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.743605
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.744271
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.744143
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.738552
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.741276
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.741994
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.743191
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.743248
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.744447
Stopping. Best iteration:
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.738552

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.05596
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02161
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.994682
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.966924
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.958075
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.936569
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.918525
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.899814
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.882309
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.864499
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.856494
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.843567
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.834147
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.824957
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.8172
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818139
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.806777
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.797755
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.791468
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.784127
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.775549
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.767867
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.757285
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.74744
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.73761
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.736413
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.725748
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.721542
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.716006
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.709358
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.700255
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.696001
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.69554
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.694596
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.690778
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.68479
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.684055
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.682735
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.685317
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.683694
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.687061
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.684272
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.679915
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.676967
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.674028
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.67125
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.671447
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.667763
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.666496
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.668129
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.665891
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.666251
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.666609
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.668051
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.667206
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.666239
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.665891

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05957
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03632
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997965
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.975765
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.942151
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.921533
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.898623
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.881094
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.861943
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.846965
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.82923
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.814812
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.809584
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.801827
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.794061
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.780909
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.773896
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.772012
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.771368
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.766393
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.763786
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.760543
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.759314
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.757328
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.758831
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.756051
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.752848
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.751464
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.753028
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.752363
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.755031
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.756008
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.75639
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.751464

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0598
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03266
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.994967
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.97865
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.947333
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.923469
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.905192
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.892772
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.878155
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.864212
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.846865
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.840024
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.827343
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.811615
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.796491
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.796061
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.787417
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.783105
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.77432
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.768043
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.763867
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.759036
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.756432
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.748366
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.7478
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.74625
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.740194
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.73668
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.731666
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.728846
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.727867
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.727636
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.727541
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.729157
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.732805
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.739582
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.735897
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.735361
Stopping. Best iteration:
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.727541

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05104
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01154
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.977336
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.948081
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.946239
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916675
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.90212
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.884072
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.863235
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.844728
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.827859
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.815022
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.803698
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.788978
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.782227
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.778763
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.768177
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.755834
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.748623
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.744645
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.737896
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.731671
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.722354
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.716473
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.710064
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.707136
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.701302
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.699857
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.694627
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.69493
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.69128
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.684492
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.680668
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.677006
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.675892
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.672834
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.672621
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.670937
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.673094
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.669381
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.670798
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.66686
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.66324
[43]	validation_0-merror:0.25	validation_0-mlogloss:0.661545
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.660875
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.661084
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.659726
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.658986
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.660376
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.662333
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.663327
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.665469
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.662975
Stopping. Best iteration:
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.658986

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.064
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03171
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.998351
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.964723
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934362
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.917536
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.899594
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.886053
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.869349
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.858708
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.849777
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.841353
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.836851
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.824077
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.817643
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.803236
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.801927
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.797724
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.794244
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.793713
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.792657
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.790409
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.785418
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.779555
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.779816
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.778241
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.773984
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.772946
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.777267
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.774171
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.778164
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.780626
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.782246
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.772946

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06206
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03399
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00278
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.980639
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.950704
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.928926
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.908562
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.894897
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.876481
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.860682
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.849419
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.838057
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.822587
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.811086
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79609
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791908
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.785065
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.77881
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.772054
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.765147
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.765615
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.765244
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.763705
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.75929
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.756414
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.754507
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.750914
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.748197
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.744845
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.742033
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.741361
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.739563
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.735927
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.74
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.739432
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.741824
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.73895
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.736459
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.735927

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05602
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02505
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.994263
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.970252
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.939953
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.917992
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.903614
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.89137
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.87119
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.8559
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.845449
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.831712
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.813754
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.800053
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.792573
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.784766
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.773717
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.764081
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.758183
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.748471
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.743891
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.740611
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.735469
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.729913
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.726721
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.722426
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.717817
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.718389
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.718627
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.714379
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.708667
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.707389
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.70319
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.700233
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.700505
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.702321
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.700164
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.696832
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.693394
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.692732
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.691328
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.687801
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.687491
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.689516
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.688408
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.688245
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.688831
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.689515
Stopping. Best iteration:
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.687491

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05649
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02942
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.99865
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.981073
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.958873
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.936499
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.919292
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.911016
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.899155
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.885391
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.873151
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.861524
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.847831
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.832622
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.822851
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.813142
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.804196
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800047
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.796113
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.790633
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.788915
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.785971
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.784641
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.780279
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.778287
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.776144
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.775884
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.776839
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.774742
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.775968
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.779102
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.781341
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.781501
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.781824
Stopping. Best iteration:
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.774742

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05932
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03354
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00058
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.980026
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.958898
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.934553
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.920075
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.909512
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.890861
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.875649
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.861527
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.846264
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.826286
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.813852
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.806244
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.795502
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.785555
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.779149
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.770723
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.76555
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.758209
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.75583
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.752521
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.744406
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.738358
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.732027
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.729324
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.728708
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.726334
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.725938
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.72449
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.728108
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.726719
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.72476
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.720881
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.719015
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.72069
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.723096
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.721774
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.722158
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.719889
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.719015

[0]	validation_0-merror:0.533333	validation_0-mlogloss:1.05945
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02883
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.998949
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.973125
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.963735
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.939616
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.922894
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.905841
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.889751
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.873112
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.863561
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.851939
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.83995
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.83141
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.823656
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.821905
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.809831
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.798557
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.793109
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.787913
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.777209
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.769201
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.759325
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.751177
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.742489
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.740056
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.730727
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.725201
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.7201
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.714779
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.710007
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.702879
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.703319
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.699867
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.699699
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.696713
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.695967
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.693685
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.694802
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.690596
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.692206
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.692782
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.691036
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.688034
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.684761
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.684542
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.685597
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.682219
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.679459
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.681793
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.676956
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.680423
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.681978
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.682093
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.682546
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.681806
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.676956

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06013
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03415
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997853
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976479
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.943207
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922781
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.906268
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.891363
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.873183
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.856071
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.838402
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.828456
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.824234
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.812631
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.807315
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.79627
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.78841
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.784111
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.779709
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77616
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.770662
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.762944
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.761777
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.761402
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.762791
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.761287
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.757844
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.753549
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.752935
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.754288
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.755008
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.753864
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747933
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.747503
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.752108
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.75853
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.753634
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.758247
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.758434
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.747503

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06825
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03793
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00177
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.979205
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.952554
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.926894
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.909497
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.896856
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.88175
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.870706
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.851852
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.843648
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.830497
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.815882
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.802981
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.802206
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.794026
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.789114
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.781807
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.773469
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.766406
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.759869
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.758378
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.750485
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.748134
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.743444
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.737699
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.733851
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.733176
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.728866
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.72431
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.720668
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.718943
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.720093
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.718145
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.720022
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.717503
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.716207
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.713249
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.712076
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.706613
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.703253
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.704795
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.701443
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.702479
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.7023
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.701934
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.702397
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.706524
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.701443

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05191
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01332
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98527
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.959399
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.95625
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.9254
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.904556
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.886473
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.868326
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.850612
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.836627
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.822529
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809434
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.794078
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.786107
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.782804
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.772261
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.76151
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.754905
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.750482
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.740519
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.736909
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.728242
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.720036
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.712494
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.709693
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70445
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.703685
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.698233
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.695485
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.692397
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.685082
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.680814
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.678789
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.678005
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.6735
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.671931
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.668355
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.67099
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.666576
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.665473
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.660272
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.656711
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.655824
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.653964
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.65121
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.650674
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.650401
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.649602
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.651919
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.653029
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.654135
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.652398
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.656332
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.649602

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06264
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03309
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.0021
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.973397
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.94338
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921279
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.904856
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.889275
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.864774
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852617
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.840741
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.832398
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.825411
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.816552
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.813149
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.80241
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.799848
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.794982
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.790539
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.790585
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.785086
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.782336
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.778222
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.773333
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.774115
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.773011
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.769706
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.768278
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.764692
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.764434
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.766343
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.766
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.768354
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.767063
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.767594
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.764434

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06263
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03437
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.0044
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.975991
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.943538
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.920731
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.899357
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.884675
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.86782
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.855673
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.840567
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.828389
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.815442
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.803538
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.790267
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.786826
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.782743
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.777087
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.77044
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.764371
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.763364
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.760609
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.756549
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.751985
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.747892
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.746282
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.743921
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.740948
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.738165
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.730379
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.731681
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.72857
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.724698
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.728864
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.72742
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.726204
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.72514
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.72421
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.721391
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.721865
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.72024
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.719767
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.717692
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.715536
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.718272
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.716372
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.712568
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.710977
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.71323
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.713484
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.712557
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.712432
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.711822
Stopping. Best iteration:
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.710977

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05556
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02298
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.993127
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.968291
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941737
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.916556
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.898652
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887601
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.867921
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.85635
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.845213
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.827445
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.812496
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.798872
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.787574
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.777224
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.766837
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.757871
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.746309
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.738168
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.733174
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.728458
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.722379
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.720036
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.717655
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.708607
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.702697
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.69758
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.694099
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.689215
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.686484
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.684725
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.682802
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.67963
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.676455
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.676743
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.678305
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.675637
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.672459
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.672369
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.674411
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.675046
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.675265
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.676897
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.677259
Stopping. Best iteration:
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.672369

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05911
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03219
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999965
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.981888
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957124
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.935516
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.919446
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.91152
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.899266
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.88615
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.876467
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.859025
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.845412
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.83432
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.828074
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818276
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.81188
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.811589
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.804832
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.799048
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.791894
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.788123
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.783947
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.780801
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.779133
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.778239
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.779538
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.779332
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.780185
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.780284
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.784466
Stopping. Best iteration:
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.778239

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06378
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03382
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.999568
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.980748
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.959029
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.931784
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.915137
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.901434
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.881402
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.864986
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.847339
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.832129
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.813691
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.801762
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.794196
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781895
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.770304
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.762565
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.755646
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.747548
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.744763
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745895
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.740557
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.732828
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.727762
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.722487
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.720127
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.715491
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.70993
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.705826
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.704783
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704399
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700398
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.700561
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.69813
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.694917
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.697271
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.69845
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.69473
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.694446
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.692528
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.691174
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.689975
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.689685
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.688402
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.68681
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.691276
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.690956
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.692221
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.692175
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.695697
Stopping. Best iteration:
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.68681

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06128
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998155
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.972639
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.964555
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.938156
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.919305
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.904021
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.887284
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.870465
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.859862
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.844928
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831485
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.820864
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.815095
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.812968
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80069
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.788928
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.783221
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.777427
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.768146
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.76031
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.752812
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.7493
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.739199
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.740064
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.733548
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.730756
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.725033
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.721862
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.716111
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.711207
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.711786
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70819
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707156
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.705747
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.7074
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.704083
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.707038
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.704937
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.708234
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.704285
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.701627
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.696899
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.698038
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.695907
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.697822
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.695936
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.695131
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.698698
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.698993
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.702585
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.703602
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.703442
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.695131

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06533
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04297
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.0066
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982471
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950579
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.930601
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.912368
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.893735
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.87568
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.859966
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.842686
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833959
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.829296
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.82016
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.813224
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806181
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800177
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.794883
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.787202
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.780661
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775524
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.76834
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.766956
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.765279
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.76444
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.761343
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.759745
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.757836
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.754714
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.752507
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.752502
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.749353
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747138
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.746323
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.748018
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.750223
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.745648
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.749624
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.749421
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.748463
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.745499
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.742384
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.743051
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.742577
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.740672
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.743042
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.743674
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.743435
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.748033
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.747086
Stopping. Best iteration:
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.740672

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04078
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00238
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.981194
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95575
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932988
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.911602
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.8983
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.883418
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.870832
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849772
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.837061
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.82408
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808817
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797392
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795548
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.78884
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.782301
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.768802
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.765972
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.759306
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.750695
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.747612
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.737814
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.736958
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.732947
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.72815
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.722253
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.721421
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.715637
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.710268
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706613
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.706971
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.708223
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.706233
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.705341
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.697662
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.698163
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.696036
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.69226
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.686393
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.683997
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.685793
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.681404
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.67977
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676546
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.678228
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.678334
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.681006
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.682115
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.678277
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676546

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01258
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.987735
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.957647
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950047
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.919254
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896601
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.878962
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.863804
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.844895
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.830878
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.816579
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805901
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.796933
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.787632
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.78458
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.772183
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.760876
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.75613
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.75135
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.742447
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.738064
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.726916
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.720789
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.712674
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.711311
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.705606
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.706412
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.702499
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.699636
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.695303
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.689191
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.686924
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.68427
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.682013
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.676955
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.676495
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.674673
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.676392
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.674248
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.676366
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.67166
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.671288
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.669784
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.667903
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.666133
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.665195
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.662608
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.659614
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.659033
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.659581
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.660561
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.659691
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.662914
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.661831
Stopping. Best iteration:
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.659033

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06286
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0276
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.997612
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.967481
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.937682
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.918669
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.903689
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.887588
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.862756
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.848287
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.839523
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.830405
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.823985
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.815203
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810547
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.801297
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.79932
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.793683
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.78975
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.78997
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.783191
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.780082
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.776522
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.775214
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.775432
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.77234
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.767205
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.76469
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.762516
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.760625
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.761686
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.762881
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.761623
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.761946
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.762226
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.760625

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06736
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03604
[2]	validation_0-merror:0.3	validation_0-mlogloss:1.00298
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.974578
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.946013
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.921892
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.901509
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.886389
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.868291
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.855427
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.84201
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.832637
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.818104
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.805956
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.796926
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.793693
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.78935
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.784083
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.775237
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.767713
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.764445
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.761438
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.753872
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.74495
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.741912
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.738351
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.737886
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.732256
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.730038
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.725677
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.726295
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.720485
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.714211
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.716154
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.713715
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.71714
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.715691
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.715463
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.714949
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.715014
Stopping. Best iteration:
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.713715

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05701
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02463
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994724
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.970629
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.942185
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.91669
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.900661
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.888344
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.867216
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.856443
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.841279
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.824984
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.807063
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.793404
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.785088
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.776509
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.76696
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763008
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.751919
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.743677
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.73467
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.732236
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.727542
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.722477
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.719045
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714965
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.708747
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.705381
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.704977
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.700391
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.70019
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.698202
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.69834
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.696702
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.696398
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.695428
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.695307
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.694549
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.69362
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.693136
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.69607
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.695064
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.697312
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.697425
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.699592
Stopping. Best iteration:
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.693136

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05837
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03028
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00092
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.981278
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.950989
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.929955
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.91588
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.909565
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.898202
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.885556
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.874038
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.862678
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.849629
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.838095
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.82932
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.821191
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.814558
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.811766
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.808762
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.804054
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.802865
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.800707
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.798066
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.794312
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.7935
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.791606
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.791997
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.792322
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.792541
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.790896
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.792598
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.792465
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.790982
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.793205
[34]	validation_0-merror:0.416667	validation_0-mlogloss:0.793008
Stopping. Best iteration:
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.790896

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06214
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02872
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996058
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.975585
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.952857
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.926139
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.910484
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.897444
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.879298
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.864437
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.846318
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.828891
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.81537
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.803804
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798731
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.789469
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.774519
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.764774
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.759949
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.752084
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.748582
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.747974
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.741558
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.730346
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.723014
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.719053
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.71759
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.714238
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.706362
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.703432
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.705304
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.702798
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.702474
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.701406
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.701804
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.700611
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.703788
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.707299
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.706321
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.702829
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.699325
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.699751
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.700344
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.700602
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.699844
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.698187
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.697312
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.695929
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.695469
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.695268
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.696922
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.696024
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.696803
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.696484
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.700103
Stopping. Best iteration:
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.695268

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02709
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.997797
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.970545
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.961793
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.939563
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.921597
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.903881
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.885888
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.864563
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.851558
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.837323
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823874
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.811944
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.802237
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.800252
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.787881
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.776584
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.77117
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.767456
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760578
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.753228
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.750189
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.744212
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.733618
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.732867
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.725026
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.722141
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.715908
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.714761
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.708066
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703774
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.701829
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.699772
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.699027
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.694995
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.696241
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.694674
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.697514
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.696678
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.698785
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.698521
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.697626
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.694674

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06237
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03979
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00542
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.981143
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.949636
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.931461
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.912704
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.896518
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879604
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.863222
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.845864
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.836329
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.829403
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.817846
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.810734
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.804684
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.799143
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.790672
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.786369
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.779631
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775745
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.771031
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.769682
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.766959
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.765911
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.764389
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.763426
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.76097
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.756997
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.755139
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.755197
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.75236
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.75145
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.751232
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.754029
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.75152
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.749968
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.749717
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.74969
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.75031
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.748021
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.74499
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.745509
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.745259
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.746568
[45]	validation_0-merror:0.383333	validation_0-mlogloss:0.745034
[46]	validation_0-merror:0.383333	validation_0-mlogloss:0.745599
Stopping. Best iteration:
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.74499

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06523
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.036
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.997275
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.976128
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.953391
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.928075
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.912282
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.897811
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.879006
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.867619
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.848356
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.834958
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.822842
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.808465
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.797099
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795265
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.789023
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.783688
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.777234
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.772994
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.767138
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.761956
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.761437
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.755525
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.755058
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.751414
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.745797
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739081
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.737517
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.732287
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.729494
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.726714
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.727301
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.727031
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.72492
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.723026
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.717299
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.716727
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.713958
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.711892
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.706067
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.703931
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.705067
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.700589
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.696309
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.690414
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.690613
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.691497
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.690884
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.692506
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.68868
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.687008
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.683168
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.684278
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.689713
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.688831
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.689288
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.690255
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.683168

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05087
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01395
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985301
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957111
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.94899
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92175
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.905558
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.886376
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.869312
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.847685
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834235
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.821426
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808497
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.800122
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.79137
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78647
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.777346
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.765666
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759877
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754606
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.747244
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.743454
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.732692
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.724782
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.716097
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.713721
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70846
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.708307
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.705303
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.703896
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.701269
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.697973
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.694929
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.692821
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.692519
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.686653
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.685117
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.682825
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.685456
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.683361
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.685096
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.68118
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.681052
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.680239
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.678849
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676419
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.676413
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.674333
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.670565
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.670046
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.670595
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.672019
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.671721
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.672363
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.673818
Stopping. Best iteration:
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.670046

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06325
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0279
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.997754
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.966974
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.937657
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.919284
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.904242
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.888285
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.866764
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.852036
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.839558
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.827587
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.821264
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.812073
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.807459
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.79931
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.79581
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.791014
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.78673
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783359
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.781039
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.775424
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.769688
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.766505
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.765932
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.763562
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.760261
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.756401
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.752206
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751195
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.753473
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.753803
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.753009
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.752065
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.751875
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751195

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06594
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03723
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00757
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.98003
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.959036
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.936189
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.916732
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.903786
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.888259
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.870916
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.857655
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.846503
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.832415
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.820815
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.812389
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.808427
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.803739
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.796777
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.791406
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.782243
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.779885
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.778238
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.771972
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.766603
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.767011
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.760232
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.759818
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.753661
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.750579
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.748772
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751677
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.745203
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.739013
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.73929
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.735182
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.734244
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.732413
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.73178
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.731021
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.731037
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.726193
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.724287
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.72476
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.724935
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.725816
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.721909
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.717368
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.717587
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.720199
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.723901
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.717444
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.718076
Stopping. Best iteration:
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.717368

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02526
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995203
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.970282
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.942756
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.91912
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.899614
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.885481
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.865286
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.852536
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.838636
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.821294
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.802441
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.787503
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.779333
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.76896
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.762095
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.753257
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.742404
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.736541
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.730396
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.725921
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.720528
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.713216
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.710302
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.703672
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.702055
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.69835
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.696312
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.691772
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.690243
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.6859
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.685367
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.684063
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.686121
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.682269
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.681507
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.679847
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.678388
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.678088
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.680384
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.678828
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.67887
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.679318
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.681524
Stopping. Best iteration:
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.678088

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05929
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00051
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.982945
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.956
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.932197
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.91809
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.911624
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.901495
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.887411
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.874521
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.864427
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.850954
[13]	validation_0-merror:0.416667	validation_0-mlogloss:0.838252
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.830572
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.818864
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.812101
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.808522
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.803997
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.802232
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.798505
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.796704
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.792597
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.789704
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.787223
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.785487
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.783002
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.781638
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.780483
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.780879
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.783689
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.783094
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.782547
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.783101
Stopping. Best iteration:
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.780483

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06678
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03173
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00069
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.98049
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.956083
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.927114
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.911418
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.900697
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.881699
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.865138
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.8482
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.831211
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.813909
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.802252
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.794898
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787862
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773919
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.763979
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.760813
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.75035
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743372
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741627
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.734238
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.726288
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.719658
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.714214
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.711429
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.707548
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.701304
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.699988
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.70013
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.698704
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.697526
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.696227
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.694301
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.695687
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.698142
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.695733
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.694568
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.693077
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.690957
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.690372
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.688129
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.68811
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.688631
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.689306
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.689301
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.689214
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.689124
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.68811

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06135
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02496
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998763
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965218
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.944513
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.920399
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.901523
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885842
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.865485
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.852847
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.84274
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.827972
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.816693
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809165
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.796987
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78271
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.775648
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765066
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759575
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.754234
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.748274
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.742569
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.735022
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.728226
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.719479
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.713226
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.706038
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.704012
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699252
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.691373
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.688755
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.684725
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.681383
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.680618
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.680694
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.682512
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.682353
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.676893
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.676885
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.674924
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.671117
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.67088
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.665923
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.664751
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.664956
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.663812
[46]	validation_0-merror:0.25	validation_0-mlogloss:0.664953
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.661047
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.659456
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.66368
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.661378
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.666357
[52]	validation_0-merror:0.25	validation_0-mlogloss:0.666444
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.668415
Stopping. Best iteration:
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.659456

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05716
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02075
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.9857
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.960764
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.933283
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.912794
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.892119
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.875536
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858593
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.841357
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.827453
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814817
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.799543
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79219
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.786748
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.777844
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.773988
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767633
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.765745
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.762265
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.759641
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.754738
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.755561
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.754986
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.75734
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.752488
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.745849
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.740803
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.73564
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.738257
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.739697
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.738085
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.737834
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.733953
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.738328
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.739077
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.732695
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.734178
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.733275
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.732159
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.732866
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.729269
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.727292
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.723205
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.725426
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.725765
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.729143
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.726905
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.728317
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.723205

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06252
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02418
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.990121
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.966782
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.94126
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.918289
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.897109
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.880505
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.864166
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.850843
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.833094
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.822278
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.811359
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.79554
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.787049
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.782832
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774067
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.768833
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757747
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.750649
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.748059
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.741411
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.737001
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.727948
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.726587
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.724476
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.72164
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.719117
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.714722
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.708656
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.702053
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.696961
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.691642
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.694263
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.691544
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.691419
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.682966
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.679749
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.678156
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.677258
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.677731
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.672154
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.671672
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.666211
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.663144
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.66277
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.66445
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.662323
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.662387
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.662011
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.663386
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.66337
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.658593
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.660544
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.665542
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.663916
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.662881
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.662174
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.658593

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05432
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02087
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.996762
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.961435
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940893
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.919484
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.900153
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.879603
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.86269
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847201
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.835107
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.82118
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809797
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.802203
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788741
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.775306
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.766112
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.757285
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.752722
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.749848
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.743893
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737593
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.729643
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724434
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.719693
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.710817
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.704015
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.702763
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.70369
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.701178
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.694509
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.690858
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.683664
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.680291
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.677291
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.674089
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.670716
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.67226
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.673306
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.670583
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.667685
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.664556
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.664413
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.665244
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.659981
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.659089
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.656517
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.654548
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.651683
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.651622
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.651184
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.653319
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.650402
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.65325
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.652565
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.651951
[56]	validation_0-merror:0.25	validation_0-mlogloss:0.655809
[57]	validation_0-merror:0.25	validation_0-mlogloss:0.653929
Stopping. Best iteration:
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.650402

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05661
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02089
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.994132
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.963409
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939089
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.91594
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.899623
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.884112
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.869206
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856774
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.847576
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.840768
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.826251
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.818302
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.810258
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.800853
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.795139
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.790579
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.783162
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.774531
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.766169
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.760756
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.756919
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.754407
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.754253
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.748583
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740225
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.737451
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.735993
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.735657
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.73278
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.733082
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.728395
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.722099
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.719948
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.720566
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.717505
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.720524
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.719819
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.723554
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.722546
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.725579
Stopping. Best iteration:
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.717505

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06162
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02419
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.995502
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.968754
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.94702
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.924702
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.902362
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885106
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867463
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856766
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.846775
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.834811
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.823605
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815476
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.805527
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.800097
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.796132
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.790008
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.781135
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.778585
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.770054
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.760815
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.753178
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.743442
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.736994
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.732118
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.725374
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.721896
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.715487
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.710262
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.706307
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.704656
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.698176
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.697719
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.69328
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.690756
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.68531
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.682423
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.681435
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.679769
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.676967
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.677228
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.676296
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.674787
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.673339
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.672615
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.669828
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.669794
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.6677
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.67054
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.669003
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.668155
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.667274
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.668744
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.669445
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.667062
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.663952
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.661312
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.661155
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.660723
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.662426
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.662622
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.660174
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.66319
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.66301
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.659809
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.661113
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.661497
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.661247
[69]	validation_0-merror:0.3	validation_0-mlogloss:0.661273
[70]	validation_0-merror:0.3	validation_0-mlogloss:0.659217
[71]	validation_0-merror:0.3	validation_0-mlogloss:0.659422
[72]	validation_0-merror:0.3	validation_0-mlogloss:0.656557
[73]	validation_0-merror:0.3	validation_0-mlogloss:0.655091
[74]	validation_0-merror:0.3	validation_0-mlogloss:0.651438
[75]	validation_0-merror:0.3	validation_0-mlogloss:0.652076
[76]	validation_0-merror:0.3	validation_0-mlogloss:0.655714
[77]	validation_0-merror:0.3	validation_0-mlogloss:0.66129
[78]	validation_0-merror:0.3	validation_0-mlogloss:0.660423
[79]	validation_0-merror:0.3	validation_0-mlogloss:0.661719
Stopping. Best iteration:
[74]	validation_0-merror:0.3	validation_0-mlogloss:0.651438

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05611
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02068
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.98647
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.955587
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.931792
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.90804
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.887698
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868128
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.851453
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83916
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826822
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814517
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.801452
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.787164
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.777067
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.766363
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.759598
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.751441
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.744675
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.737542
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.732795
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.725728
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.724049
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.717875
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.714305
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.707678
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.705769
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.702653
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.697121
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.692741
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.689925
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.689306
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.688783
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.686133
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.686139
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.681935
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.679157
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.677978
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.677421
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.677069
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.675441
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.67607
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.673899
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.673734
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.67386
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.674801
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.673293
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.671904
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.67061
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.669877
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.667985
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.668826
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.669708
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.669693
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.669073
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.671302
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.667985

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05781
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02599
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.995518
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970909
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.945964
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.924741
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.90338
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.892087
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879878
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.868035
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.858636
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.845897
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.836876
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.828572
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.823106
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.81337
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.806314
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.80081
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.795323
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.788574
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.781864
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.77704
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.775072
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.771137
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.766533
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.761551
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.756094
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.755624
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.75409
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.749879
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.749669
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.746814
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.743929
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.741884
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.738785
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.734897
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.735207
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.732978
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.732709
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.734316
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.731692
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.730103
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.728576
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.72767
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.725456
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.724403
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.722426
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.721043
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.720289
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.71889
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.720501
[51]	validation_0-merror:0.366667	validation_0-mlogloss:0.720751
[52]	validation_0-merror:0.366667	validation_0-mlogloss:0.719328
[53]	validation_0-merror:0.366667	validation_0-mlogloss:0.723379
[54]	validation_0-merror:0.366667	validation_0-mlogloss:0.722561
Stopping. Best iteration:
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.71889

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06798
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03255
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.999221
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.974127
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.950911
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.924384
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.90385
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897919
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.88126
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.875527
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.868387
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.861738
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.856411
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.848712
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.837216
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.829229
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.818035
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.810373
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.806616
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.794778
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.787444
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.779611
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.771777
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.765522
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.758147
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.753596
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.748856
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.747531
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.743647
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.740226
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.739174
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.737595
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.734611
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.730464
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.727124
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.72366
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.719459
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.718059
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.717559
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.716097
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.713815
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.712387
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.710512
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.707716
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.706027
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.707114
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.704203
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.702309
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.699005
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.69728
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.694214
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.693324
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.690464
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.68848
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.688864
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.68883
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.687371
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.686378
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.684258
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.682879
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.682354
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.681897
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.683729
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.681986
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.682257
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.681876
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.681854
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.679942
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.680244
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.67987
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.679343
[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.681322
[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.679606
[73]	validation_0-merror:0.283333	validation_0-mlogloss:0.68
[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.678686
[75]	validation_0-merror:0.283333	validation_0-mlogloss:0.677822
[76]	validation_0-merror:0.283333	validation_0-mlogloss:0.67818
[77]	validation_0-merror:0.283333	validation_0-mlogloss:0.67819
[78]	validation_0-merror:0.283333	validation_0-mlogloss:0.677336
[79]	validation_0-merror:0.283333	validation_0-mlogloss:0.677697
[80]	validation_0-merror:0.283333	validation_0-mlogloss:0.677028
[81]	validation_0-merror:0.283333	validation_0-mlogloss:0.675714
[82]	validation_0-merror:0.283333	validation_0-mlogloss:0.677065
[83]	validation_0-merror:0.283333	validation_0-mlogloss:0.675558
[84]	validation_0-merror:0.283333	validation_0-mlogloss:0.675912
[85]	validation_0-merror:0.283333	validation_0-mlogloss:0.677089
[86]	validation_0-merror:0.283333	validation_0-mlogloss:0.677032
[87]	validation_0-merror:0.283333	validation_0-mlogloss:0.676657
[88]	validation_0-merror:0.283333	validation_0-mlogloss:0.677765
Stopping. Best iteration:
[83]	validation_0-merror:0.283333	validation_0-mlogloss:0.675558

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05895
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02293
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.996971
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965337
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.94564
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.921773
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.90509
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.886065
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.867969
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.855497
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.844169
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.830003
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.819263
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.810009
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.798057
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.78574
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779179
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.768082
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.764339
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.758645
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.75121
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.746207
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.738635
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.731945
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.723142
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.716703
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.710462
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.707093
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.703179
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.69658
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.693902
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.689445
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.683137
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.682609
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.68272
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.685579
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.684664
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.681073
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.680541
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.678414
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.676919
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.675081
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.672196
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.671062
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.672581
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.673008
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.674233
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.668747
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.667234
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.671411
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.66878
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.672369
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.672403
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.674425
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.667234

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05747
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02221
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.987467
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.963712
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.93681
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914956
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891895
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.874583
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857665
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.839278
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.827232
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815202
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.802837
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.796868
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79559
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786245
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.781951
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.778363
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.776805
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.772831
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.77147
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.766064
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.766107
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.76493
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.765949
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.760858
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.75749
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.754222
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.753044
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.753927
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.755018
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.751824
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.753144
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.749018
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.752048
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.756601
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.750591
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.751807
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.749479
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.749018

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06263
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02431
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.990213
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966924
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.941126
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.917951
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.895385
[7]	validation_0-merror:0.233333	validation_0-mlogloss:0.879308
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.862843
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.851222
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.832523
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.82165
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.810511
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.794485
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.785642
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.782605
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776251
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.769772
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.758671
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.751616
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.748776
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.742166
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.737725
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.728446
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.726877
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.725585
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.724176
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.72276
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.717059
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.720237
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.714181
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.707807
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.703036
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.70445
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.701528
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.702478
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.693735
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.689349
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.687279
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.687145
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.690746
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.685389
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.685793
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.680693
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.679256
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.678741
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.68247
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.679563
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.679273
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.681398
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.680459
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.678741

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05336
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02036
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.994915
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.959577
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.941039
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922463
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.905383
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.885068
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867918
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852288
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.839967
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.827285
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.814603
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.806921
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.79289
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.779708
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.771161
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.761923
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.756792
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753782
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746582
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.743076
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.734472
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.729448
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723557
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.713222
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.705391
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.703855
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.705388
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.700925
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.693609
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.689647
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.682533
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.679481
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.675555
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.671553
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.668954
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.670239
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.670754
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.667909
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.669369
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.665299
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.66551
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.666034
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.662197
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.66118
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.660072
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.657501
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.654125
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.654567
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.655719
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.657668
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.655763
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.659115
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.654125

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05669
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02357
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.996253
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.965441
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.941781
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.91877
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.902211
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.886891
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.871616
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.859166
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.849914
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.843274
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831397
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.825084
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.814993
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.805298
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.802326
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.798452
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.790868
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.785541
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.777246
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769256
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.76624
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.761248
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.76152
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.755508
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.745502
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.744163
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.74171
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.742278
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.743967
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.743399
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.738467
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.732664
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.730431
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.729463
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.726642
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.730225
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.730244
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.733767
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.731947
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.734612
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.726642

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06305
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0268
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998088
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.975034
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.953303
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.930146
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.908037
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.890958
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.872727
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.862775
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.850508
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.839245
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.828536
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.820359
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.812421
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.806028
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.801462
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.793794
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.784608
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.779397
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.770028
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.761114
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.754978
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.749891
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.740364
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738625
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.731332
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.727408
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.720825
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.716296
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.711522
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.709869
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.703198
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.702653
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.697603
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.696635
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.69035
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.686535
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.685432
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.683339
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.680609
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.679519
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.677931
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.677499
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.67655
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.675305
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.672175
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.669649
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.667401
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.670244
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.668837
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.669025
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.668176
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.669573
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.667401

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02218
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.986227
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.956672
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932714
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.909271
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88971
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868898
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.853149
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.842651
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830703
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.816472
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.803696
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.790413
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.781244
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.770056
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.76272
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.760391
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.753471
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.744411
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.738218
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.730819
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.72902
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.727525
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.721515
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714794
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.709608
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.707826
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.70265
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.696517
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.69374
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.692116
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.690042
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.688157
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.68617
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.679852
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.678159
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.676817
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.6768
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.677614
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.675051
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.675103
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.673007
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.674016
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.672407
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.674792
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.673283
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.673698
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.674852
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.673947
Stopping. Best iteration:
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.672407

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05674
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02435
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993657
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.968617
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.94356
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.921957
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.903378
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.889204
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.876313
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863351
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.851939
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.838437
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.829885
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.822129
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.814838
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.805002
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.798815
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.792823
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.786125
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.785721
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.779135
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.774327
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.772607
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.767682
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.761791
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.757758
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.751913
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.750706
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.745952
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.743365
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.74201
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.737264
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.736026
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.732593
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.731125
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.727945
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.727391
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.723609
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.720419
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.718492
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.71767
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.71581
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.714834
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.714001
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.713168
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.712359
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.709711
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.709379
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.709033
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.707703
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.708733
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.708841
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.70936
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.712099
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.711099
Stopping. Best iteration:
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.707703

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06754
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03172
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.999086
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.973193
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.948428
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.925296
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904734
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895911
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875356
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866516
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.861092
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.854995
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.846449
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.838397
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.829594
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.821239
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.8136
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.805856
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.794596
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.793669
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.781915
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.77638
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.766911
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.761854
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.752497
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.751356
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.743492
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.741253
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737907
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.732285
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.730907
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.728964
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.725921
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.721239
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.717619
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.713193
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.70921
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.708396
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.706105
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.70427
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.703674
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.701519
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.698012
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.693947
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.691609
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.691811
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.689958
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.689679
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.688144
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.687513
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.687091
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.685173
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.685485
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.686847
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.684145
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.68437
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.68531
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.684929
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.681792
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.680638
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.681503
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.684808
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.682883
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.686086
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.684276
Stopping. Best iteration:
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.680638

[0]	validation_0-merror:0.516667	validation_0-mlogloss:1.06381
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02945
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00256
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.973673
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.953475
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.926453
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.909626
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.89078
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.873162
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.858552
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.846386
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.834259
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823478
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.81404
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.804443
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.79536
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.78675
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.775056
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.770782
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766533
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759283
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.753921
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.748215
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.740675
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.732344
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.726366
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.718994
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.715528
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.713577
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.705829
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.703062
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.697897
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.695169
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.693979
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.693518
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.696676
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.69607
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.691952
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.693141
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.69065
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.686344
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.687009
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.683585
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.682776
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.684582
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.682685
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.6832
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.680424
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.679737
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.680513
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.678035
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.682546
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.682214
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.683333
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.681654
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.680899
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.678035

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02024
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.986567
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961473
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934308
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.910889
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.888173
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.870272
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.8535
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.835879
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.821232
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.807545
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.793121
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.785504
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.780522
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.771828
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.767434
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.75875
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757506
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.752888
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.750508
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745125
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.743804
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.742434
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.741013
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.736289
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.733771
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.728105
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.726199
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.727578
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.728632
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.726657
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.726018
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.722102
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.725676
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.729209
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.722882
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.725212
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.724663
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.722102

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06649
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02828
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.994208
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.9696
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.94695
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.921567
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.900247
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.882152
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.866162
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.854601
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.835665
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.824306
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.812723
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.797658
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.789198
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.784236
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775192
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.769693
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.760166
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.752754
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.749265
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.744014
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.739869
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.730289
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.728553
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.728738
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.727127
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.722447
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.718539
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.719004
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.712766
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.708866
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.700896
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.702352
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.699343
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.70002
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.69577
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.693112
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.688907
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.688515
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.691794
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.686575
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.686551
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.682917
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.679918
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.677913
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.681476
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.678465
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.675077
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.676124
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.676673
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.675795
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.670872
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.671751
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.677221
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.674564
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.674026
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.673106
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.670872

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05321
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02047
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.995754
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.962628
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.944208
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.92647
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.90969
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.889259
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.87369
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.858362
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.847935
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.834671
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.822634
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.816067
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.801224
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787809
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.77987
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.772201
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.766501
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.764898
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.757414
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.752734
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.743897
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.737385
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.735778
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.725455
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.719854
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.716942
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.716263
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.71333
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.706007
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.70138
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.692286
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.689792
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.687095
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.682872
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.681334
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.682731
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.686062
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.682831
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.680789
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.677531
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.676726
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.676693
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.671541
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.670087
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.66716
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.661615
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.657679
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.657809
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.65674
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.657374
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.655365
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.656854
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.655342
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.655114
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.657782
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.655895
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.6573
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.654425
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.655986
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.656925
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.65787
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.660103
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.662431
Stopping. Best iteration:
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.654425

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05671
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02409
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.996775
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.969334
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.94628
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.922919
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.906518
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.88928
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.87352
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.861363
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852098
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.846912
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.835036
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.82754
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.816563
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.806846
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.801208
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.796352
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.790106
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.783246
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.775723
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.767826
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.763194
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.75875
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.758593
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.752082
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.742951
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.740478
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737456
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.735629
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.736511
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.735272
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.73036
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.726405
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.724571
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.724012
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.722396
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.725598
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.725221
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.728349
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.726919
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.728775
Stopping. Best iteration:
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.722396

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06305
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02691
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998191
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.975112
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.953477
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932775
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.912037
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895964
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.876358
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.866273
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.853513
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.841796
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.831096
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.825527
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.818618
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.811643
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.805563
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.798491
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.791138
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.788626
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.783156
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.77644
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.768642
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.75966
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.751267
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.749367
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.741731
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.73775
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.730587
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.726154
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.723043
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.717663
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.710887
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.710796
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.705819
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.704811
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.697456
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.692768
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.69184
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.690281
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.686195
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.686542
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.684386
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.683454
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.684085
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.682817
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.681482
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.679382
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.676275
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.678531
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.677168
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.677266
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.677375
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.678597
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.676275

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05867
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02302
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.989497
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.959657
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.935418
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.912516
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.891843
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.873398
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857465
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846788
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834717
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820751
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.808764
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.796068
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786779
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.777116
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.767519
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.759293
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.753659
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.746307
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.741695
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.734405
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.732585
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.730486
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.728883
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.719155
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.71731
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.714106
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.709122
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.700486
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.698325
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.696663
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.692554
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.686748
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.683957
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.679388
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.677278
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.673276
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.672528
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.671352
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.671595
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.673944
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.673336
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.675446
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.676027
Stopping. Best iteration:
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.671352

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05705
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02725
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996394
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.970504
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.943641
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.922253
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.903917
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.885527
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87216
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.863664
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852815
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.842987
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.829957
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.822606
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.815651
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806027
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.798424
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.793389
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.787498
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.784215
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.777427
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.771857
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.764359
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.761656
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.757146
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.753496
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.749485
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.747508
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.744417
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.741233
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.740904
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.738469
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.738394
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.73837
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.738497
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.737653
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.737655
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.734832
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.732793
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.730081
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.729632
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.732981
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.734424
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.732651
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.733618
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.735434
Stopping. Best iteration:
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.729632

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03114
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997493
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971687
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.949147
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926288
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.906025
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.897354
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.876942
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.867087
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.861902
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.854575
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.848562
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.839585
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.831523
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.820695
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.809424
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.797997
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.788919
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.783628
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.776907
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.770334
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.759718
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.751857
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.741664
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.740605
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.733236
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.733674
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.728194
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722585
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.72166
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.721448
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.716249
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.711243
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707388
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.705238
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.700939
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.698336
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.695638
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.693828
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.691868
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.689011
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.686465
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.683693
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.681974
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.678932
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.678333
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.676654
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.674976
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.6742
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.673457
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.67195
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.671917
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.671202
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.670587
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.669398
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.669773
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.669808
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.668537
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.669856
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.670887
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.675664
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.67715
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.677709
Stopping. Best iteration:
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.668537

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06586
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03794
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.00958
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.97925
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957714
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.929205
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.912377
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.894361
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.876652
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.861531
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.848507
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.837119
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.826156
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.816277
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.806298
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.795233
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.785492
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.774876
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.770543
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.765894
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.757192
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.750756
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.744939
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.737832
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.728634
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.727891
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.723783
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.721022
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.717034
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.710642
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.708441
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.70301
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.700107
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.700921
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.698929
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.702687
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.701393
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.700305
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.701185
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.697238
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.695019
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.693344
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.690644
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.69081
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.692539
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.690406
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.692733
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.689734
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.68885
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.692228
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.689638
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.692679
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.691624
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.693272
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.68885

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02075
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.987031
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.96022
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.932139
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.911389
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.889295
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.871481
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.854786
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.838194
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.823102
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.810657
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.798772
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.790213
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.785707
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.77706
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.772842
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.766819
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.76551
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.758956
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.756809
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.751247
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.750844
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.748094
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.748324
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.743315
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.740238
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.736796
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.733094
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.733124
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.732721
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.72977
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.728903
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.725543
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.729721
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.733203
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.726967
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.729983
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.729713
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.725543

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06617
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02796
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.994569
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.972002
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.949225
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92622
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.903872
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.886134
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.87136
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.859379
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.840754
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.829014
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.817506
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.80225
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.79236
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.790747
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.783252
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.776314
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767582
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.761308
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.757934
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.753662
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.749549
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.737421
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.734332
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.734786
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.734442
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.732767
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.729492
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.732718
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.72603
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.721165
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.716468
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.719454
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.716352
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.721149
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.717291
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.714308
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.71021
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.712786
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.710712
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.707162
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.707895
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.703761
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.701077
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.697713
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.701481
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.698948
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.695861
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.698429
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.697735
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.69598
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.691318
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.693165
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.700167
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.698869
[56]	validation_0-merror:0.333333	validation_0-mlogloss:0.698161
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.698224
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.691318

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0559
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02377
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.998034
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965322
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.945261
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.926622
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.90522
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887186
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.87519
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.859965
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.848225
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.834651
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.825009
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.817065
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.802935
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788909
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.781168
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773819
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.770477
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.768274
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760676
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.754945
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.746547
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.740842
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.736617
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.73043
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.724597
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.722531
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.721698
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.718039
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.713036
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.70848
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.702104
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.697655
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.695912
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.692483
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.689182
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.685071
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.685964
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.682587
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.683738
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.677736
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.677156
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.676804
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.672265
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.673406
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.670608
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.665095
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.661854
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.662124
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.662396
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.661955
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.656241
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.65998
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.658141
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.655558
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.65827
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.656764
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.65751
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.655104
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.65685
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.658246
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.660925
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.661501
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.663204
Stopping. Best iteration:
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.655104

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05524
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02037
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.992915
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.963957
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.939777
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917508
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.90136
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.884845
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.867878
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.857257
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.850503
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.845317
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.833707
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.825778
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.815628
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.806295
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.80315
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.796489
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.788863
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.781848
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.770858
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.763571
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.759608
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.759668
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.759628
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.753861
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.746796
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.744886
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.742334
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.74051
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.740412
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.739692
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.736673
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.735157
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.73328
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.732669
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.729372
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.730855
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.730034
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.732279
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.730622
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.731871
Stopping. Best iteration:
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.729372

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06405
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02797
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.99926
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976212
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954598
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.933591
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.911607
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895571
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.876654
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.866536
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.854291
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.843
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.831282
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.82469
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.816649
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.809091
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.805034
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.797364
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.789944
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.78753
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.781322
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.773246
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.765068
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.754932
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.749914
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.748022
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.740333
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.737747
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.731232
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.726378
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.725098
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.719609
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.711638
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.711087
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.704426
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.702395
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.702473
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.698032
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.69615
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.69498
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.689089
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.688508
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.684611
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.686599
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.688178
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.687016
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.683043
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.681155
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.682151
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.680957
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.680038
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.680342
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.67794
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.679328
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.681544
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.680416
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.674624
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.67512
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.674843
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.674514
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.676285
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.677879
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.681103
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.682452
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.681981
Stopping. Best iteration:
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.674514

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06376
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03201
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00118
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971155
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.948816
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.926938
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.906387
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.889292
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87342
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.86195
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.84991
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.837434
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.825099
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813077
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.803632
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.792411
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.784725
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.779658
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.771629
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.762989
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754807
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.749201
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.748092
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.74618
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.743335
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.735731
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.732361
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.728772
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.725916
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.72047
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.718481
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.71569
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.715735
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.711574
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.710679
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.709742
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.709292
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.705066
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.70474
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.704544
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.704532
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.706007
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.702571
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.70344
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.702792
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.70423
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.701472
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.702494
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.700869
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.697569
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.6955
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.697329
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.694553
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.692788
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.688687
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.689871
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.688491
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.688226
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.688581
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.690343
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.68772
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.687316
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.685427
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.684921
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.682234
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.683324
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.681699
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.680762
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.680862
[69]	validation_0-merror:0.3	validation_0-mlogloss:0.681805
[70]	validation_0-merror:0.3	validation_0-mlogloss:0.679633
[71]	validation_0-merror:0.3	validation_0-mlogloss:0.679977
[72]	validation_0-merror:0.3	validation_0-mlogloss:0.680105
[73]	validation_0-merror:0.3	validation_0-mlogloss:0.679648
[74]	validation_0-merror:0.266667	validation_0-mlogloss:0.679901
[75]	validation_0-merror:0.266667	validation_0-mlogloss:0.681518
Stopping. Best iteration:
[70]	validation_0-merror:0.3	validation_0-mlogloss:0.679633

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05826
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03014
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.99829
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969273
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.945041
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.927552
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.910553
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.898459
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.885525
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.875681
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.865307
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.85463
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.841081
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.831438
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.821517
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.812402
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.803854
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.799492
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.793955
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.789419
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.782059
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.778549
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.771291
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.770099
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.765059
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.76279
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.760523
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.758045
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.756315
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.753362
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.75099
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.752097
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.750847
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.750221
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.751059
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.74925
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.749668
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.745902
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.742183
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.739823
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.739836
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.739135
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.741305
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.739018
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.738552
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.739921
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.736814
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.738355
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.737063
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.736368
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.735568
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.735643
[52]	validation_0-merror:0.35	validation_0-mlogloss:0.739603
[53]	validation_0-merror:0.366667	validation_0-mlogloss:0.741585
[54]	validation_0-merror:0.366667	validation_0-mlogloss:0.739449
[55]	validation_0-merror:0.366667	validation_0-mlogloss:0.739138
Stopping. Best iteration:
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.735568

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03114
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997493
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971589
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.948869
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.926473
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905896
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897186
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.876178
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.867455
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.862827
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.85701
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.847907
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.839297
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.826326
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.818406
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.807347
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.795886
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.786774
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.78077
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.776346
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.771828
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.763581
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.753632
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.746109
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.741654
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.736452
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.733179
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.728311
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.724946
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.723294
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.719272
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.713532
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.708838
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.70467
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.699908
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.697904
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.696459
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.692342
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.691718
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.686698
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.685396
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.682355
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.679451
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.682098
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.679221
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.677497
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.676628
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.674977
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.673993
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.672937
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.67092
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.667035
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.666282
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.663738
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.664917
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.663354
[57]	validation_0-merror:0.25	validation_0-mlogloss:0.662261
[58]	validation_0-merror:0.25	validation_0-mlogloss:0.661517
[59]	validation_0-merror:0.25	validation_0-mlogloss:0.660106
[60]	validation_0-merror:0.25	validation_0-mlogloss:0.660569
[61]	validation_0-merror:0.25	validation_0-mlogloss:0.662063
[62]	validation_0-merror:0.25	validation_0-mlogloss:0.661573
[63]	validation_0-merror:0.25	validation_0-mlogloss:0.664075
[64]	validation_0-merror:0.25	validation_0-mlogloss:0.663629
Stopping. Best iteration:
[59]	validation_0-merror:0.25	validation_0-mlogloss:0.660106

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05848
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03262
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00557
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.973702
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954976
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.932828
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.915603
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.898774
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.881025
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.863335
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.851413
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.839477
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.828178
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.818582
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.808157
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.798559
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.789253
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.77789
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.77187
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.766783
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.760282
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.754661
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.749372
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.743093
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.733605
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.732885
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.729016
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.726873
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.71987
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.713901
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.710743
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.70548
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.703434
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.703966
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.70167
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.700303
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.697575
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.697627
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.698155
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.696524
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.694087
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.693685
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.693076
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.694661
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.696638
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.693101
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.695142
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.691167
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.689413
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.691805
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.688543
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.692302
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.690102
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.690878
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.69168
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.689058
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.688543

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0575
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02225
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.98976
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.962656
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934871
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.915271
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.893942
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.873107
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855488
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.838387
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.823319
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.810922
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.799041
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.791182
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.788507
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.780701
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.775571
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.770188
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.768761
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.762036
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.759302
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.753821
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.7537
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.750638
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.752333
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.747904
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.744502
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.738886
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.73453
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.734455
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.735298
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.731999
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.732243
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.730753
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.733492
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.734447
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.7332
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.736126
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.732238
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.730753

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06634
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02809
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.99563
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.973685
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.950613
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.927364
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.905467
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.887548
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.871235
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.859425
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.840717
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.82892
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.817504
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.802124
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791826
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.78851
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.780916
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.773444
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.765025
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759647
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.756105
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749962
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.749892
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.745266
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.745324
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.74583
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.7439
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.738831
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.73668
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.739323
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.735654
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.732445
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.727449
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.728909
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.726073
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.728395
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.728376
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.726541
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.722834
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.726413
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.721314
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.717795
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.718248
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.714206
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.711054
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.706238
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.709268
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.708322
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.704769
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.707613
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.703113
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.702469
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.697145
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.698723
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.706764
[55]	validation_0-merror:0.35	validation_0-mlogloss:0.706792
[56]	validation_0-merror:0.35	validation_0-mlogloss:0.705723
[57]	validation_0-merror:0.35	validation_0-mlogloss:0.705606
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.697145

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05582
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02895
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00127
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.965521
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.943955
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921273
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.899859
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.882358
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.866964
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.851897
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.839839
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.826278
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.816353
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.810141
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.794688
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.780508
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.771833
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.764424
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.758856
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.758009
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.750653
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.748206
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.738145
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.730825
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.726489
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.720153
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.71399
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.713211
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.711939
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.710078
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.706298
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.701396
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.692793
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.690716
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.688405
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.684466
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.682246
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.678489
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.679531
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.674699
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.674684
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.670414
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.668709
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.669753
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.668933
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.669692
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.669361
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.663893
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.661963
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.66062
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.661372
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.660981
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.659141
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.662412
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.663586
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.660577
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.663609
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.662597
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.659141

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05846
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02394
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.996354
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967445
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.944089
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922056
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.90547
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.88792
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.870719
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.85207
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.844141
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.837788
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.826287
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.820386
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.810497
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.802521
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.798741
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.79296
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.786332
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.781747
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.771401
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.764824
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.75772
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.752834
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.75408
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.747514
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.74045
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739464
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.735409
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.737949
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.73813
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.736389
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.735235
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.734867
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.732147
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.731335
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.728058
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.730353
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.72958
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.732139
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.730151
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.731171
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.728058

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06375
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02956
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00085
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.97775
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.956649
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935587
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.913474
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.898758
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.879096
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.868878
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.856627
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.845175
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.834391
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.828499
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.820393
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.814187
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.807177
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.79878
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.790505
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.788095
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.78434
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.783352
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775629
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.765039
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.761674
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.755484
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.748029
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.74498
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.736768
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.733925
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.734127
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.731452
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.724789
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.725846
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.719098
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.718461
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.715813
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.711599
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.709761
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.709267
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.703516
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.702605
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.700227
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.703018
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.70318
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.698591
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.697292
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.695596
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.695397
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.698169
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.697358
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.696208
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.69525
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.696769
[54]	validation_0-merror:0.35	validation_0-mlogloss:0.699457
[55]	validation_0-merror:0.35	validation_0-mlogloss:0.693975
[56]	validation_0-merror:0.333333	validation_0-mlogloss:0.687879
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.686883
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.687113
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.687876
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.689808
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.692586
[62]	validation_0-merror:0.316667	validation_0-mlogloss:0.695118
Stopping. Best iteration:
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.686883

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.0627
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03085
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999969
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970718
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.949097
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.927243
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.906346
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.889457
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.873039
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.861454
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.849227
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.838132
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.826703
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.813281
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.804202
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.794257
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.785364
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.778586
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.772994
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766177
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759531
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.753947
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.750761
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748104
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.745229
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.738165
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.734719
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.732385
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.729466
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.724456
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.722039
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.721623
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.720087
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.719814
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.721829
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.719987
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.718662
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.71654
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.716295
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.716536
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.716603
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.715773
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.714229
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.714273
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.709795
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.708155
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.706763
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.706092
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.706115
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.707563
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.704784
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.707072
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.707588
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.706866
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.70515
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.70291
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.700322
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.69903
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.699847
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.69922
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.697732
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.697089
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.695731
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.696612
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.698163
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.697988
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.697611
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.695849
Stopping. Best iteration:
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.695731

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05715
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02739
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.994041
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965801
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.938375
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.918972
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.900039
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.886607
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.873876
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863635
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.85328
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.843123
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.831054
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.822182
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.815613
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.807352
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.800991
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.793982
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.787607
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783759
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.777269
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.775487
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.771345
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.768946
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.763392
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.760019
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.757581
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.758197
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.755542
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.753664
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.751147
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.752045
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747311
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.748183
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.745683
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.742596
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.740717
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.737926
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.735776
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.735276
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.73542
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.734587
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.734939
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.73479
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.733863
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.735729
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.735833
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.736201
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.735585
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.734303
Stopping. Best iteration:
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.733863

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0343
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00054
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.974659
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.951715
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.925813
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905415
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895566
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875365
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.866715
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.861954
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.855832
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.850844
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.842652
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.830812
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.81949
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.809546
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.80286
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.795842
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.784242
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.783097
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.775276
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.769253
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.763317
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.756908
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.752189
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.750022
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.747504
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.743892
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.740205
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.73917
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.73253
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.727566
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.722063
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.72103
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.718173
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.714228
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.711913
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.707603
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.706054
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.705022
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.702293
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.7017
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.701911
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.703715
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.701247
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.701377
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.701793
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.698953
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.695685
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.693044
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.689661
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.687834
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.68633
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.68672
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.68535
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.685508
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.684407
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.684036
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.681799
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.680414
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.682031
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.682594
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.682682
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.682557
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.683627
Stopping. Best iteration:
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.680414

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06121
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02042
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.992263
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.954937
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.935771
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.909055
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.890876
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.872613
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.854189
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.837395
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.825535
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.812109
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.799157
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.791786
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.779707
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.769863
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.758795
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.752683
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.746058
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.742086
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.729914
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.724777
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.713758
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.705852
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.696226
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.691634
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.686264
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.689166
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.686717
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.676232
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.67038
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.665722
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.663057
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.660164
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.664691
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.670419
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.671083
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.666621
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.665162
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.660164

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05714
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02468
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.986043
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957078
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.922451
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.901617
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.875781
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.858435
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.8358
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.820828
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.809566
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.798493
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.790291
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.780219
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.777007
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.767143
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.764793
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.758353
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.756276
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.756103
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.75737
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.758738
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.760792
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.76041
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.763296
Stopping. Best iteration:
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.756103

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01834
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.980372
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.960594
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.932014
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.917393
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.899277
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.885981
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.8702
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.857506
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.843149
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.831583
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.81653
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.802422
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788593
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.791803
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.783752
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.781364
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.772663
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.766723
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.766699
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.767062
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.766397
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.759449
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.759014
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.75901
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.755179
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.754457
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.753244
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.750921
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.74379
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.738355
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.73574
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.738613
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.741544
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.743724
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.740105
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.733443
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.73514
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.738325
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.745627
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.744159
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.744127
Stopping. Best iteration:
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.733443

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.04513
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00906
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.977176
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.940912
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.91954
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.890533
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.86747
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.84862
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.829531
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.810975
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.798751
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.784535
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.772169
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.759128
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.750826
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.738523
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.727591
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.719495
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.716805
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.714671
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.708317
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.704246
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.697335
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.69577
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.691565
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.691038
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.685359
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.687406
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.685046
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.68479
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.68003
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.676939
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.672737
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.67177
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.673663
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.673751
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.67232
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.675428
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.676542
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.67177

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05363
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00769
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.975822
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.942108
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.9154
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.886343
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.866565
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.849245
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.823579
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.811589
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.805372
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.801637
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.793991
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.788253
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.780721
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.774216
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.770462
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763714
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.756322
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.749416
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.743609
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.74378
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740062
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.740961
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.745905
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.743889
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741958
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.740495
Stopping. Best iteration:
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740062

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05149
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0137
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.981471
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.962592
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.936281
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.916923
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.901069
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.889516
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.866118
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.854184
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.848018
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.832828
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.820414
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.808718
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.796287
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.790337
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.787831
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.777602
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.771156
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.764713
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760584
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.76124
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754747
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.751479
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.746775
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.747571
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.74721
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.745814
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.743643
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.738052
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.73629
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.739003
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.736708
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.740838
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.736835
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.73942
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.73629

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04996
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.00719
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.97286
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.938689
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.910487
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.883204
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.860175
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.837327
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.818676
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.804868
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.792345
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.778041
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.765656
[13]	validation_0-merror:0.233333	validation_0-mlogloss:0.752554
[14]	validation_0-merror:0.233333	validation_0-mlogloss:0.743537
[15]	validation_0-merror:0.233333	validation_0-mlogloss:0.734827
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.728646
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.72548
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.721007
[19]	validation_0-merror:0.233333	validation_0-mlogloss:0.717249
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.711136
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.705879
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.70524
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.701502
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.701308
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.69442
[26]	validation_0-merror:0.233333	validation_0-mlogloss:0.693157
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.691404
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.692218
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.686691
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.683741
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.68313
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.678768
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.679616
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.680136
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.679219
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.679064
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.680566
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.678768

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05323
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02259
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.984991
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957735
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.92673
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.902048
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.885197
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.86627
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.850853
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.839747
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.830103
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.818538
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.809407
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.800042
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.794653
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.784415
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.778156
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.770395
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.770766
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.770553
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.772307
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.773337
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.774563
Stopping. Best iteration:
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.770395

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05901
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01738
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.979764
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.953082
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.918212
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.891127
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870915
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.856191
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.840594
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.831085
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.823657
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.82447
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.818812
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.810803
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.800199
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.794712
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.788389
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.780664
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.780382
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.777519
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.777057
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.773835
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.779822
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.7802
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.775517
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.770915
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.776138
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.780741
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.781488
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.78601
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.787862
Stopping. Best iteration:
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.770915

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05378
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01233
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.983904
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.948843
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928239
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.903212
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.885906
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.865792
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.846097
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.829687
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.820557
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.808494
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.796901
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.78957
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.775946
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.768854
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.760607
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.751101
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.748454
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.744751
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.733745
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.730799
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.721591
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.712473
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.705304
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.700719
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.693947
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.69664
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.698617
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.691896
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.686933
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.684236
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.679419
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.677675
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.680217
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.679693
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.678237
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.674857
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.67709
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.674729
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.676557
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.675677
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.670298
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.668944
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.669383
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.67074
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.67224
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.667653
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.668764
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.675056
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.675265
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.679855
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.680241
Stopping. Best iteration:
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.667653

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05805
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02376
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.987638
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.958604
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.925042
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.901487
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.879648
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.862302
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.841778
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.822203
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.808967
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.798461
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.78835
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.781349
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.777246
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.766735
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.767638
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.75822
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.75558
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.756362
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.76068
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.760622
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.761529
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.762688
Stopping. Best iteration:
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.75558

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05593
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01899
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.981744
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965948
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.93894
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.924475
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.904782
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.8917
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.870017
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856537
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.839718
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.829761
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.812771
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.796343
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.787382
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787829
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.77919
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.773187
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.763638
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.758151
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.756155
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.755074
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.751759
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.745306
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.743166
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.743795
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.743942
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739801
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.736515
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.733387
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.729115
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.729006
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.726445
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.728509
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.730245
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.735668
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.730779
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.72362
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.724501
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.727055
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.734674
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.729774
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.729482
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.72362

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04778
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01246
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.982978
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.946593
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.926948
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.905031
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.887954
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.867112
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.845811
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.831173
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.8167
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.80449
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.792285
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.782324
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.775076
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.763601
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.753029
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.743751
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.741179
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.741001
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.734611
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.729805
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.722735
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.714638
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.710133
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.705012
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.699217
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.699872
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.699602
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69892
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.69315
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.687422
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.684495
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.681507
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.682246
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.681185
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.682028
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.685461
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.686655
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.685069
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.686884
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.681185

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04865
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00514
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.975964
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.940513
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.913168
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.887026
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.871819
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.853979
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.835497
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.821262
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.811856
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.804493
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.795345
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.790085
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.785432
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.778481
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.775252
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.7713
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.768879
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.763315
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.755862
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.758393
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.753644
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.754472
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.757205
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.754319
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.750389
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.745939
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.745934
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.745464
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.749007
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.753218
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.751695
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.753667
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.752551
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.745464

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05588
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01387
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.980358
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.964343
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.935162
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.915908
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.896343
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.883065
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.862529
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.852466
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.844511
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.829754
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.816722
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.809268
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.798266
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.79757
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.793417
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.785611
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.788076
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.780868
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.775834
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.775928
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.771007
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.768224
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.762833
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.760002
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.757943
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.757155
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.750613
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.746247
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.744945
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.74601
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.745565
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.748466
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.745016
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.75058
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.744945

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05395
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01661
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.97732
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.948205
[4]	validation_0-merror:0.266667	validation_0-mlogloss:0.918654
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.894302
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.873435
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.852502
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.835342
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.820145
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.808643
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.793371
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.780432
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.771621
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.761389
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.751577
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.742881
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.731371
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.721255
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.718021
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.711716
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.705732
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.704422
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.703434
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.700958
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.694782
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.692291
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.692552
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.692436
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.686913
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.683784
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.684422
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.682443
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.680046
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.679249
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.678063
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.677461
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.678096
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.677478
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.676263
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.674928
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.677049
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.676361
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.677393
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.677478
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.677578
Stopping. Best iteration:
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.674928

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.0504
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02058
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.983152
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.955531
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.924438
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.903556
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.88457
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.866412
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.849904
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.839506
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.828884
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814012
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.802622
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.789835
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.780852
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.779923
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.771163
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765637
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.766897
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.767257
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.769046
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.762209
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.764381
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.760445
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.757265
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.757939
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.76082
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.764775
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.76574
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.767783
Stopping. Best iteration:
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.757265

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01745
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.981742
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.953265
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.9205
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.894144
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.872909
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.861073
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.846949
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.838691
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.828638
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.816639
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.809692
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.803273
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.795347
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.793366
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780035
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.770772
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.768256
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.765964
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.763563
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.757445
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.761082
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.758478
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.755521
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.753609
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.753486
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.754405
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.752587
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.750781
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.750784
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.750445
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.746484
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.743367
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.742062
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.743041
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.744145
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.744237
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.745339
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.744225
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.742062

[0]	validation_0-merror:0.516667	validation_0-mlogloss:1.06336
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02338
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.992902
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.960055
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.937147
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.909887
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.893793
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.873834
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.856711
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.840316
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.832017
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.819634
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.808304
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.802975
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.793434
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.784833
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776718
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.764555
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.763394
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.761613
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.751669
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.746925
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.743801
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.733891
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.728451
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.729839
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.725215
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.726053
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.724007
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.718776
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.714961
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.710744
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.709792
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.707586
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707909
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.711749
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.710679
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.70587
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.706369
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.705156
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.707092
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.705388
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.701979
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.698902
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.700786
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.699701
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.700206
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.701215
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.703915
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.698902

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02349
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.985969
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959536
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.928719
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.9056
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.880172
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.859581
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.840309
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.823275
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.807868
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.799886
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.791209
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.784736
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.780789
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.769819
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.767007
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.759018
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.76003
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.758431
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.75446
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.752911
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.752632
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.754233
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.754131
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.752768
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.755096
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.752045
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.753139
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.757988
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.758164
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.75932
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.756242
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.752045

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06273
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02092
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.985087
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965015
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.940502
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918537
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.899755
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.884593
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.862892
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.849302
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.832361
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822072
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.811947
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798296
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.785378
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.783985
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.774343
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.76459
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759896
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.753381
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.74582
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.744087
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.740954
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.734149
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.731454
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.733965
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.734555
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.731854
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.72738
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.723863
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.720357
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.713961
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.710045
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.713642
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.7122
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.718645
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.718594
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.715776
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.710045

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04961
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01389
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.986546
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.951189
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929467
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.909882
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.89229
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.870469
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853105
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.83865
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.824571
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.811417
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.800964
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.790993
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.780333
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.769596
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.758966
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.751512
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.749223
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.749816
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.74331
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.737523
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.732344
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.726806
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.724145
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.719236
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.713146
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.713839
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.711058
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.710435
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703323
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.699404
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.697184
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.696864
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.694356
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.691194
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.687698
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.688527
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.686348
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.683263
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.684035
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.683393
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.682985
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.683696
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.682278
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.68261
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.680995
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.679263
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.677393
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.677847
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.678496
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.679164
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.676392
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.67882
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.677257
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.678933
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.680806
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.680223
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.676392

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05026
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00751
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977737
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.947702
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.92005
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.897225
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.880639
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864705
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.84456
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.828433
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.8207
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.815212
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.803581
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.797483
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.791747
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.784431
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.780644
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.775932
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.774207
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.766194
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.759106
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.759299
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754899
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.755158
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.759114
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.758357
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.75468
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.756106
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.75579
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.754154
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.757012
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.761599
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.759433
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.76017
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.758921
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.754154

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05745
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01243
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.983548
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.963446
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939769
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.914023
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.893813
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.878917
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.855102
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.843958
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.833875
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.819054
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.807547
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.799136
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.791313
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.783394
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.781015
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.768811
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.767977
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.762403
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.758517
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.75903
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.753275
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.749676
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.743503
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.74286
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.736142
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.735537
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.729633
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.7268
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.727627
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.723534
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.720721
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.723154
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.721572
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.728121
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.727465
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.72736
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.720721

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05354
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01548
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980212
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.94853
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.919066
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.892176
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.869526
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.850901
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.834001
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.823088
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.810654
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.793344
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.783768
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.773815
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.765411
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.754226
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.746497
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.739945
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.733361
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.730758
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.722862
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.717937
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.7176
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.712554
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.706197
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.702568
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.700392
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.699509
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.696531
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.691624
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.692129
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.689601
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.689747
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.690827
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.694091
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.693661
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.693815
Stopping. Best iteration:
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.689601

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05104
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01805
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.979383
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.949609
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.919674
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.896379
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.878218
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.86196
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.850917
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.836729
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.823003
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.809722
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.799786
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.794975
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789963
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.780918
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.776589
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773711
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.771061
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.769237
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.769848
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.768552
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767879
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.765868
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.763444
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765079
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.764865
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.768165
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.771017
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.76755
Stopping. Best iteration:
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.763444

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06264
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02394
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.989062
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967708
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.937226
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.914193
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.88947
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.870789
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851176
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.845861
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.831906
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.817228
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.806709
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.800106
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.787705
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.784713
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77603
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.768589
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.765948
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.762201
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.763186
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.757509
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.752705
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.747221
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.74297
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.738313
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.737496
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.73738
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.735633
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.738044
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.739638
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.738472
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.738041
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.734266
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.733178
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.734417
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.732197
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.731319
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.728903
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.729954
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.731068
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.73063
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.731427
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.732712
Stopping. Best iteration:
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.728903

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06392
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.03552
[2]	validation_0-merror:0.45	validation_0-mlogloss:1.00427
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.972772
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.948995
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.922907
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.906248
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.888975
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.873658
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852742
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.843336
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829199
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.817946
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.80381
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791829
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.784179
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774774
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.765787
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.762751
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.75965
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.749218
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.743706
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.739516
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.737801
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.731537
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.734349
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.732491
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.731804
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.732843
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.72607
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.725333
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.721588
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.71903
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.716907
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.718972
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.723729
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.724873
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.723097
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.726425
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.716907

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0614
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02665
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.988637
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.961597
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.929339
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.907854
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885141
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.866266
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.847545
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.830563
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814383
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.805592
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.798053
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.789819
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.784529
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.777661
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.773956
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.7648
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.764937
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.759976
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.754742
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.748392
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.749376
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.751801
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.756949
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.754672
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.753199
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.748392

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02467
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.989155
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.967002
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940658
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.919525
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.901598
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.886311
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867594
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.859224
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.841484
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.832067
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.819768
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.80463
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.793853
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.794234
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.786557
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.77729
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.771215
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766404
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760844
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.75608
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754169
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.749938
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.747576
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.74784
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.749505
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.748682
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.747865
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.742504
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.738531
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.732345
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.730048
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.734343
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.736227
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.736671
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.734747
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.731896
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.730048

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05143
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01606
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.991991
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.958594
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.937461
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.911252
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.890433
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.873526
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.860198
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.842401
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.82853
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.815236
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.806518
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.798
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.787322
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.777982
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.770938
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.763228
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.760808
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.763535
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.755699
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.750281
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.744517
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.739233
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.73481
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.729512
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.723986
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.726923
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.728426
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.726989
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.723489
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.720022
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.716847
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.710858
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.708251
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.704758
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.701894
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.700894
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.701581
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.69361
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.695504
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.691331
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.692896
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.69327
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.69352
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.694571
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.695251
Stopping. Best iteration:
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.691331

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05654
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01423
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.984352
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.951727
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.922272
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.893388
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.877808
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.855821
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.837433
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.821214
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.812183
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807385
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.79705
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.790049
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.783155
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.775893
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77122
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.765783
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.763192
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.757393
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.748063
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749187
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.745647
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.748284
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.74876
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.746918
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.74521
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.742683
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.742412
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.74165
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.743704
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.742406
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.743623
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.742956
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.741828
Stopping. Best iteration:
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.74165

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06086
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.25	validation_0-mlogloss:1.01555
[2]	validation_0-merror:0.25	validation_0-mlogloss:0.984762
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.961991
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.942174
[5]	validation_0-merror:0.25	validation_0-mlogloss:0.914316
[6]	validation_0-merror:0.25	validation_0-mlogloss:0.893847
[7]	validation_0-merror:0.25	validation_0-mlogloss:0.8803
[8]	validation_0-merror:0.25	validation_0-mlogloss:0.862094
[9]	validation_0-merror:0.25	validation_0-mlogloss:0.850289
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.836808
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.825577
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.813841
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.803773
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.794025
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.787199
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.783069
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.77552
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.776824
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.769836
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.760817
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.761072
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.754074
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.747429
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.74621
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.746009
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.737501
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.734791
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.73019
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.726267
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.726621
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.722632
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.720772
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.72325
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.719382
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.723985
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.721038
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.720508
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.719966
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.723406
Stopping. Best iteration:
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.719382

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06038
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02292
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.988353
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957764
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.932801
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.909184
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.889895
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873102
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.85593
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.844387
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.833508
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.816465
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.806782
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.798255
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.789549
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.78264
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.773373
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.766145
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.763831
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.756908
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.75194
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.745954
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.740396
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.736746
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.732517
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.726087
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.721356
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.720744
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.719087
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.714287
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.713513
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.715203
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.713725
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.714188
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.713835
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.715686
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.713513

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05037
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01766
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980266
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.954893
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.92852
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.909091
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.892724
[7]	validation_0-merror:0.433333	validation_0-mlogloss:0.875786
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.863163
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.852353
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.837036
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.820688
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.810484
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.804763
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797265
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.793837
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.78979
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.786555
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.78623
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.782964
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.779454
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.777178
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.77427
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.773705
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.772351
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.772626
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.77252
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.772489
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.773141
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.774967
Stopping. Best iteration:
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.772351

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06223
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02446
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.987379
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.96125
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.931356
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.912014
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.89019
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.875426
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.855844
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.84921
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.838077
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.829219
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.821687
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.81889
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.806163
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.807392
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.799726
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.789041
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.789196
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.787729
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.779216
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.771337
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.763381
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.753367
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.746009
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.743678
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.740053
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.738451
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.736105
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.734778
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.736112
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.738612
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.739428
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.736899
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.73651
Stopping. Best iteration:
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.734778

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05968
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03543
[2]	validation_0-merror:0.45	validation_0-mlogloss:1.00486
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971678
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950825
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.930993
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.913047
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.896093
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.877514
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855356
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.845807
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.833364
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.821296
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.808339
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.79797
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.790731
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.779156
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.770651
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.766511
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.765042
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.755903
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.750606
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.746658
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.741647
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.733487
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.732461
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.729755
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.72766
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.72412
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.719593
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.717424
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.714054
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.71332
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.710467
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.712538
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.713081
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.71224
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.712652
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.712806
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.710467

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06076
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02762
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.990376
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.962612
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.931708
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.912237
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.890081
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869296
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.849766
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.831127
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814753
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804894
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.795519
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.786785
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.783777
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.776407
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.772565
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.76254
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.761305
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.755441
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.751786
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.74749
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.748902
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.749959
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.751393
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.749865
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.748796
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.74749

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06357
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02568
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.99034
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.971349
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.949894
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.92728
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904369
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887618
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.867669
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.8532
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.834051
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823475
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.813066
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.800411
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.790006
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.789099
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.781171
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771841
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.765009
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.760458
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.757553
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.750266
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.750534
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.742862
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.740979
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.743882
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.743418
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.740331
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.735655
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.731161
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.726934
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.724888
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.722447
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.723479
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.721746
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.725513
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.726771
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.725536
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.724159
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.725855
Stopping. Best iteration:
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.721746

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05134
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02194
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993771
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.958572
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.934251
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.911072
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.895528
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.877699
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.861719
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.844993
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.834129
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818759
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.809465
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.803086
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.791809
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.7808
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.773165
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.765097
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.762139
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.76201
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.754906
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749423
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.737634
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.735779
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.731872
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.727519
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722721
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.722812
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.724575
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.72256
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.719703
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.713337
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.708253
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.706746
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.705458
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.700653
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.699863
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.696726
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.697884
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.694816
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.694177
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.689494
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.689871
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.689408
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.689525
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.689958
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.691093
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.689398
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.688321
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.6879
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.687405
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.688958
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.687435
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.687966
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.687591
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.685629
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.685979
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.685144
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.687704
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.686896
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.68639
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.687718
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.689341
Stopping. Best iteration:
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.685144

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.06022
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01781
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.987284
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.955706
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.92751
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907078
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891476
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.869178
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851072
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.833987
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.821761
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814867
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.804031
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.797823
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79352
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788712
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.784896
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.778727
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.772814
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.76714
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.758092
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.754626
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.751382
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.750634
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.750641
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.747251
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.741839
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.740475
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.740498
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.741524
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.742396
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.740796
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.74067
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.740475

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05943
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02208
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.995204
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.971245
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.950224
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.930089
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.909324
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.896002
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.875568
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.863603
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849975
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.839903
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.828241
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.818827
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.809612
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.802234
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.796382
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.787242
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.782875
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.777306
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.769004
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.768047
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.76101
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.752105
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.752377
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.755104
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.748402
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.745071
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.740037
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.740822
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.741379
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.735015
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.732896
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.732785
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.728556
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.73262
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.729133
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.727775
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.727322
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.729346
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.725489
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.723352
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.721845
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.721765
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.727026
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.724042
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.724321
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.724392
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.724883
Stopping. Best iteration:
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.721765

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05772
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02265
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.988341
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.958183
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.93261
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.909701
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.89043
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.871946
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.854046
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.840363
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.82984
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.811151
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.797601
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.785211
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.776991
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.769737
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.763346
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.756792
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.749826
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.743098
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.739622
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.734633
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.729099
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.722216
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.716672
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.71054
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.710465
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.708842
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.708901
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707601
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.706856
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703199
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.703789
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.701434
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.702946
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.701902
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.701155
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.700184
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.699592
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.699397
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.701404
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.701991
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.699959
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.701142
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.702618
Stopping. Best iteration:
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.699397

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05342
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01709
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978872
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.95261
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.925153
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.901678
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.882955
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.864431
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.851057
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.842638
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826956
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.812705
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.805524
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.7998
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.791834
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.78492
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.782278
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.780632
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.779152
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.774245
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772428
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.770947
[22]	validation_0-merror:0.416667	validation_0-mlogloss:0.770195
[23]	validation_0-merror:0.416667	validation_0-mlogloss:0.767318
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.763038
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.763485
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.7645
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.767136
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.765515
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.765734
Stopping. Best iteration:
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.763038

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06247
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.0251
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989609
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.958004
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.928874
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.907575
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.884845
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.869589
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.850587
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.841501
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.833367
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.824858
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.819521
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.811387
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.798528
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.792427
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.783788
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.776575
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.775126
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.766682
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.765214
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.756355
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.754618
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.74942
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.743869
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.740712
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.737418
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.737068
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.733503
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.730594
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.731337
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.73157
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.728468
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.723164
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.72022
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.72047
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.719562
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.718701
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.716423
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.715525
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.714199
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.715835
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.717086
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.716706
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.718873
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.719303
Stopping. Best iteration:
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.714199

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06239
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02154
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.991023
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.955536
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.93321
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.905411
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88427
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.865822
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.847153
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.83193
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.822697
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.812067
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.801609
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.790821
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.781446
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.774035
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.763931
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.759809
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.756687
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754155
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743685
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737876
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.729789
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.722355
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.716245
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.710666
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.707238
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.709526
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.704225
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.697406
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.691881
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.689189
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.686193
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.680032
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.683222
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.68672
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.687826
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.686328
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.685563
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.680032

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05741
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02517
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.98987
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.963179
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.930974
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.909311
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885379
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.871344
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.849903
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.835694
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.825575
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.814916
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809531
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.797675
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.787238
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.775338
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.772205
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.762978
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.764233
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.764931
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.764721
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.764223
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.766237
Stopping. Best iteration:
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.762978

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05923
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.0196
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.982996
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.959559
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.930219
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.914866
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.894246
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.881927
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.863201
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.854462
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.842796
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.836886
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.822741
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.812376
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.802346
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.804872
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.795448
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.794138
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.787826
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.786503
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.793952
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.79685
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.796903
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.791604
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.789437
Stopping. Best iteration:
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.786503

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04217
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00369
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.972379
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.935109
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.915939
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.886424
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.864038
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.842308
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.826306
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.812896
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.802311
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.790715
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.777184
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.76463
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.75682
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.746649
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.73873
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.73287
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.733712
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.732755
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.727532
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.725081
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.72026
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.713953
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.7071
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.707204
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.703448
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.707233
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.705888
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.706846
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.702253
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.697973
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.694204
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.693055
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.692703
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.691892
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.691672
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.693357
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.693671
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.697887
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.706978
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.705452
Stopping. Best iteration:
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.691672

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05448
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00689
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.975242
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.940733
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.907829
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.877887
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.858186
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.842016
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.8207
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.809746
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.80332
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.795158
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.785845
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.781025
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.773575
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.76873
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.767505
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.770731
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.768092
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.762629
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759427
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.75848
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.756627
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.757146
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.763138
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.758772
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.757661
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.761398
Stopping. Best iteration:
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.756627

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05001
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01109
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.985827
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.963718
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.935148
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.924093
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.912372
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.902663
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.884286
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.873965
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.867114
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.85588
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.841636
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.832085
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.822007
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.821629
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.822699
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.817534
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.812899
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.807921
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.812048
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.814446
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.811384
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.811646
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.80746
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.810822
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.808837
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.811622
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.809183
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.803837
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.803692
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.808665
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.805288
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.808188
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.804429
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.813298
Stopping. Best iteration:
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.803692

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04955
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00894
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.970751
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.937123
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.907347
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.879639
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.858372
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.838282
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.824368
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.812484
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.801619
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.783708
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.773546
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.759748
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.752048
[15]	validation_0-merror:0.216667	validation_0-mlogloss:0.74233
[16]	validation_0-merror:0.233333	validation_0-mlogloss:0.735178
[17]	validation_0-merror:0.233333	validation_0-mlogloss:0.727743
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.722513
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.714461
[20]	validation_0-merror:0.233333	validation_0-mlogloss:0.708508
[21]	validation_0-merror:0.216667	validation_0-mlogloss:0.704097
[22]	validation_0-merror:0.233333	validation_0-mlogloss:0.704736
[23]	validation_0-merror:0.233333	validation_0-mlogloss:0.702763
[24]	validation_0-merror:0.233333	validation_0-mlogloss:0.699043
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.69481
[26]	validation_0-merror:0.233333	validation_0-mlogloss:0.696713
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.695978
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.693207
[29]	validation_0-merror:0.233333	validation_0-mlogloss:0.691531
[30]	validation_0-merror:0.233333	validation_0-mlogloss:0.689017
[31]	validation_0-merror:0.233333	validation_0-mlogloss:0.687829
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.685854
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.685952
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.686218
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.687532
[36]	validation_0-merror:0.233333	validation_0-mlogloss:0.688226
[37]	validation_0-merror:0.233333	validation_0-mlogloss:0.69006
Stopping. Best iteration:
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.685854

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05618
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02546
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.988831
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.959409
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.930578
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.907103
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.893345
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.87705
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.861544
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.856581
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.84984
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.841415
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.835053
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.830756
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.825071
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.820567
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.812829
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.805651
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.808657
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.803429
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.799817
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.800756
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.804784
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.807637
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.806914
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.811591
Stopping. Best iteration:
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.799817

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06218
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01953
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.981373
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.956327
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.930914
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.902804
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.879323
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.866774
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.854435
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.844945
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.837056
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.832314
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.825994
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.823888
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.818348
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.818175
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.811652
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.80622
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.807697
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.807742
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.807697
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.805953
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.810504
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.807972
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.805597
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.804545
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.806847
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.809115
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.80413
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.805676
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.810336
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.815432
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.821182
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.821849
Stopping. Best iteration:
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.80413

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05367
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01437
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.984003
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.949757
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928702
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903892
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.886344
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863742
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.843044
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.829561
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.821286
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.810315
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.801689
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.79023
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.7766
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.76801
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.760044
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.75169
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.749541
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.747945
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.738773
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.735675
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.727286
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.720033
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.711947
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.706526
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.699125
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.702102
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.702145
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.695392
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.691298
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.686477
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.683424
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.683295
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.683641
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.682422
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.68155
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.675818
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.678283
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.677502
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.679726
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.680617
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.674277
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.670716
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.672264
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.673752
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.675376
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.670626
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.673084
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.677902
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.675112
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.678341
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.676579
Stopping. Best iteration:
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.670626

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05784
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0236
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.990023
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.964833
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.931064
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.907284
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.887644
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.873717
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.854854
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.835482
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.822222
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812793
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.801008
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.794907
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.790589
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.782163
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.781246
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.776598
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.775853
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.774433
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.773998
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.770969
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.775552
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.774222
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.773962
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.77194
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.770987
Stopping. Best iteration:
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.770969

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.0537
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.266667	validation_0-mlogloss:1.01343
[2]	validation_0-merror:0.25	validation_0-mlogloss:0.97765
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.962001
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.933861
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.917229
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.897432
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.884138
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.859526
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.849105
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.836296
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.827298
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.818307
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.805528
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.795671
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.796984
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.786717
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.778643
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.77125
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76527
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.76609
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.765179
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.764471
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.757691
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.75333
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.757732
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.757251
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.756123
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.75204
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.75148
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.750693
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.747991
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.746322
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.748795
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.749319
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.753674
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.75059
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.748414
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.746322

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04547
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.0089
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977517
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.942474
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.922644
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.896051
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.877833
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.855919
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.837192
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.820633
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.806731
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.797957
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.786867
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.77688
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.768284
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.759816
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.7504
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.742334
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.739446
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.73958
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.735301
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.731861
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.725923
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.724836
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.722794
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.718696
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.714709
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.717147
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.71819
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.717146
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.710489
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.707239
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.702244
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.701284
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.703184
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.702053
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.703423
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.703097
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.704691
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.701284

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05076
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00934
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.981929
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.94936
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.918219
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.896607
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.877526
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.858715
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.838645
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.823113
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.814522
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807501
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.799432
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.790453
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.784993
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.777732
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.774709
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.769689
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.769348
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.763073
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.75715
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.756843
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.75392
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.755059
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.758904
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.757333
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755722
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.754566
Stopping. Best iteration:
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.75392

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05486
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01273
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.983517
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961825
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.927605
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.907655
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.895791
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.881895
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.865897
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.857898
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.850068
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.835986
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.824014
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.814907
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.803208
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.804812
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.800558
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.792749
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.790447
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.786976
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.788044
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.791094
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.789
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.785405
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.779163
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.779329
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.776934
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.777514
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.77669
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.773009
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.773344
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.773039
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.771367
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.775798
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.775241
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.783407
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.787039
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.786235
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.771367

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05323
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01397
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.975667
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.945299
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.917544
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.894625
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.872242
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.856263
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.842332
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.83125
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.81717
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.801208
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.787822
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.776105
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.765537
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.752425
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.7448
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.74037
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.738502
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.735765
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.731434
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.723345
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.727319
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.72417
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.719982
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.719165
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.715481
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.715178
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.716404
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.712869
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.712689
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.71656
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.714886
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.714321
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.71118
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.712303
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.7119
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.710697
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.712258
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.710627
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.7122
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.714388
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.715395
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.717487
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.717576
Stopping. Best iteration:
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.710627

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05419
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0217
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.983807
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.957697
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.927131
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.902963
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.881787
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.863488
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.846413
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.832829
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.820861
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.807204
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.799511
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.791642
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.786016
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787543
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.784829
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.780246
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.781539
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.781772
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.782887
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.781191
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.783566
Stopping. Best iteration:
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.780246

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05653
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02245
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984517
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962254
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.931818
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906961
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.886461
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.869352
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.857557
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.851153
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.846305
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.835259
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.826658
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.820499
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.811473
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.808717
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.798828
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.79418
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.789167
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.785315
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.785323
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.783055
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.782384
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.781229
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.774213
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.768875
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.769588
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.77017
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.769994
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.771524
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.774163
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.768875

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.0628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02203
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989209
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957636
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934998
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.908563
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.892287
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.872448
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857025
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.843319
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834914
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.821791
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810207
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.805498
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.797963
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.788452
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.778181
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.767194
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.766225
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.763451
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.754527
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750947
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.746172
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.732582
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.726355
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.727171
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.725087
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.72725
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.727656
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.721447
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.717766
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.713498
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.711739
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.710706
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.712155
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.713113
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.714209
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.711398
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.713064
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.710706

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02349
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.987014
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962683
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932443
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.909573
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.885653
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.86788
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.849408
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83071
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.815838
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807412
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80135
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.794805
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.7899
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.783104
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.779107
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.774991
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.776915
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77473
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.769765
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.768146
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.768995
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.770094
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.770145
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.769237
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.768395
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.768146

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06196
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02022
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.985642
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965685
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.940533
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.917116
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.897309
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883395
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.863444
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.851172
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.834207
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.824249
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.813209
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.79973
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.78833
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787975
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.779167
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.768128
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.765151
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.75797
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.749982
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.749111
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.746302
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.738668
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.734788
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.736277
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.737244
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.735341
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.7315
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.728566
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.725408
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.721664
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.717653
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.720945
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.721224
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.72764
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.726722
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.723588
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.717653

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04762
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00976
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.981357
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.944525
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.925822
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.901855
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.884643
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.863072
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.847246
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.833642
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.824022
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.812995
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.801156
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.791875
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.784003
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.775102
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.763643
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.756721
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.75235
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.753718
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.746662
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.743979
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.738581
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.732526
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.728467
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.724407
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.719248
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.722079
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.720283
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.722001
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.715214
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.708779
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.705294
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.703897
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.704053
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.701613
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.69806
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.697445
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.699078
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.698283
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.699516
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.699281
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.698236
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.697445

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04911
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00621
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.978041
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.948478
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.917216
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.891457
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.87536
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.857377
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.837001
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.821357
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.813599
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807946
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.796825
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.792054
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.789142
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.783668
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.783002
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.782311
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.779697
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.775119
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.769374
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.768788
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.768137
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.768304
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.76914
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.767091
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.76577
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.763989
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.761097
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.758918
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.761786
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.767713
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.764902
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.766785
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.767087
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.758918

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05668
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01144
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.983868
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.963917
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.940283
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916948
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.895212
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.88141
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.860886
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.850973
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.842645
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.828396
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.81577
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808464
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.79845
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797835
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.794311
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.786463
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.785629
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.779959
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.775743
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.776719
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.771148
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.767578
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.763349
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.763728
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.756855
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.756316
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.752088
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751239
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.752635
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.747332
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.746277
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.749566
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.745735
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.751957
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.752279
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.75052
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.751861
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.753979
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.745735

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05208
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01394
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976189
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.94358
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.917443
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.890546
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.868714
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.849763
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.832981
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.822221
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.814029
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.797008
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.785381
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.771248
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.760587
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.752977
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.742938
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.739445
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.732541
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.726185
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.72258
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.719679
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.717373
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.711241
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.706396
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.702611
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.698479
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.695888
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.69131
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.686999
[30]	validation_0-merror:0.233333	validation_0-mlogloss:0.683482
[31]	validation_0-merror:0.233333	validation_0-mlogloss:0.684107
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.682921
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.683928
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.685735
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.687529
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.684538
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.686435
Stopping. Best iteration:
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.682921

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05416
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01998
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.981113
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.955086
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.928794
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.903966
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.88457
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.866013
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.854158
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.844752
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.831143
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.816221
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805156
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.800607
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797417
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788136
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.785045
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.781835
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.779711
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.774766
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.768433
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.767218
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.767604
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.765741
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.764921
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.765685
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.762212
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.766242
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.768136
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.770902
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.770685
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.769527
Stopping. Best iteration:
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.762212

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06406
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02655
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.991475
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967981
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.939127
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.912703
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.892669
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.871401
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.850985
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.847769
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.833517
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.81945
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.806698
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.797319
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.78377
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.776564
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.763515
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.758499
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.755816
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.75322
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.75136
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.749794
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.746705
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.740821
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.739944
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.737361
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.737512
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.737938
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.737135
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.73805
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.738702
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.73883
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.739225
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.737539
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.737135

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06392
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.03552
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00184
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.970401
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.948268
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.9228
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.906488
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.888842
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.873094
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.853366
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842736
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.828871
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.817591
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.809833
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.799121
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.790311
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780682
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.771248
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.768192
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76497
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.754374
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749426
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745389
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.744181
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.736389
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.739148
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.737076
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.73717
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.738237
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.73198
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.730769
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.72813
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.726322
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.723572
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.725373
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.729868
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.73082
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.729007
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.727917
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.723572

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0614
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02665
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.988637
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.962568
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.927061
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.905888
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.883717
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864517
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.846981
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.82983
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.813718
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.805176
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.797951
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.789702
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.78453
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.777803
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.77408
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.767018
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.767616
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.76295
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.757779
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.752174
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.75357
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.756443
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.760493
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.75881
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.756136
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.752174

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02467
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.989155
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.967002
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940658
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.920882
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.902973
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887919
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.871007
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.858915
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.842588
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.83324
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.815115
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.800201
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.78886
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.790262
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.782648
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773338
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.768705
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.76332
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.757679
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.752713
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.750799
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.744164
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.741894
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.742215
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.743843
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.743231
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.742568
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.737043
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.736635
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.73055
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.728317
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.731475
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.733144
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.740605
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.738872
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.735983
Stopping. Best iteration:
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.728317

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04991
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01286
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.986738
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.950475
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.927721
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.901805
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.880818
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.864344
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.851932
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.835919
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.823139
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.811959
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.800229
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.790949
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.783059
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.774944
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.769069
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.760707
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759395
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.756007
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749368
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.74502
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.739188
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.734879
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.730703
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.726102
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.719339
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.721491
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.724023
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722245
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.716781
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.71292
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.710259
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.707318
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.705663
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.703931
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.700895
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.700667
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.702811
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.693593
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.69461
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.691487
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.691903
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.692288
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.691816
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.693308
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.694991
Stopping. Best iteration:
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.691487

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05593
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01344
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.984017
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.95151
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.920504
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.896659
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88113
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.859655
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.841209
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.826969
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.818599
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.814141
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.803253
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.798855
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.797627
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.78701
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.784241
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.781123
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.779557
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.773523
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.762689
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.762781
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.760587
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.762965
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.764596
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.765836
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.764376
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.761394
Stopping. Best iteration:
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.760587

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06034
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.25	validation_0-mlogloss:1.01509
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985204
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.962419
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.942212
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.917736
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.896292
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.882379
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.862125
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.85057
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.838986
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.82573
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.814443
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.805078
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.794426
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789375
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.785277
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.77899
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.779498
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.77504
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.766553
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.76737
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.764304
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.756435
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.755625
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.753527
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.746658
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.744514
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.740097
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.735236
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.735438
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.730535
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.72876
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.732598
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.726519
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.731009
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.728669
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.727304
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.727088
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.730339
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.726519

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.05835
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01985
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.985876
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.953762
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.927929
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.902632
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882693
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864638
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.845566
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.833961
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.82341
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.805422
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.790619
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.777299
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.769655
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.762955
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.751431
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.748033
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.743713
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.735958
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.730969
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.728289
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.724683
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.722074
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.717927
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714328
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.711499
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.71127
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.709189
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.707242
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.704539
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.703274
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.704286
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70526
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.708773
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.709101
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.711154
Stopping. Best iteration:
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.703274

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05229
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01685
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.979563
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.953834
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.929613
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.907021
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.887736
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.872012
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.85864
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.849793
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834372
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.822681
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.810205
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.803431
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.797897
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.794912
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.792674
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.787528
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.787536
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.786944
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.782856
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.781321
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.778964
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.778152
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.773734
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.773531
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.775049
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.778392
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.780178
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.781825
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.787531
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.773531

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06223
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02529
[2]	validation_0-merror:0.25	validation_0-mlogloss:0.986387
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.961231
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.932211
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.912856
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.892074
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.87618
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.858353
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.8524
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.839741
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.831654
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.822926
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.817814
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.806527
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.806872
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.798465
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.791441
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.791846
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.789854
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.788955
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.783207
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.779423
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.770802
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.765369
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.759603
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.758109
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.756214
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.752211
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.749798
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.75019
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.753022
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.750212
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.7488
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.746764
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.745824
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.744441
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.742333
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.743605
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.744889
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.744047
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.743256
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.747257
Stopping. Best iteration:
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.742333

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05968
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03543
[2]	validation_0-merror:0.45	validation_0-mlogloss:1.00486
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.972265
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.95177
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.931339
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.913321
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.896467
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.877948
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.862862
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853273
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.840955
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.828628
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.817517
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.807614
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.79865
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.786975
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.778365
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.77458
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.773115
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.764297
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.759272
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754451
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.746436
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.738521
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.736998
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.734396
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.732127
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.726791
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722527
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.720212
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.716296
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.715405
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.7127
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.714792
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.715349
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.714228
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.713621
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.716885
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.7127

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06076
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02762
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.990376
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.963564
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.931512
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.912125
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.890058
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868858
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.849437
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.831181
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814899
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804573
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.796381
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.78862
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.785969
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.77883
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.775035
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.765828
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.764598
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.758833
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.752875
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.747057
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.747253
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.748242
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.749472
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.74801
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.747104
Stopping. Best iteration:
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.747057

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06357
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02568
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.99034
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.971349
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.949894
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.92728
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904369
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887618
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.867669
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.8532
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.834051
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823475
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.812282
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.799644
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789269
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787193
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779306
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.770041
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.763252
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.758772
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.756318
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.749118
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.749396
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.741771
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.738588
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.741502
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.739665
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.736606
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.734795
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.730167
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.727024
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.724901
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.722512
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.723175
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.721581
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.725374
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.726599
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.725377
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.723971
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.725655
Stopping. Best iteration:
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.721581

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04985
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.01932
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.989122
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.953933
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929909
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.904969
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.887904
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.871331
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.855122
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.838414
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.829345
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815466
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.804308
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79831
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.787355
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.77777
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.770104
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.760982
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.758943
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.759221
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.754113
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.752094
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.74095
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.738917
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.734709
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.730151
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.728156
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.728548
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.728465
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.725918
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.721457
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.717479
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.711213
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.710673
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.709443
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.705097
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.702158
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.699914
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.703706
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.699121
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.699722
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.69483
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.694643
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.694079
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.693738
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.694572
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.695193
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.692406
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.689097
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.689192
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.68866
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.690053
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.688665
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.690079
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.685862
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.685061
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.688184
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.688798
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.691865
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.688725
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.6864
Stopping. Best iteration:
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.685061

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.06022
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01778
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.987977
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.956837
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928688
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908506
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.893058
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.870909
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851743
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.83467
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.822972
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815916
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.804682
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.800548
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.794995
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787987
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.784606
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.778483
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.774184
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.769704
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.760313
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.756714
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.75292
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.753856
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.754497
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.753419
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.751078
[27]	validation_0-merror:0.416667	validation_0-mlogloss:0.748838
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.748553
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.749216
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.751644
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.749225
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.749197
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.749657
Stopping. Best iteration:
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.748553

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05943
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02208
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995979
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.971999
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.950715
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.930535
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.911475
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.898484
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.877445
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.865537
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.854265
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.843537
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.831839
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.822412
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.812767
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.806345
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.800511
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.791002
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.789112
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.786039
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.777389
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.776935
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.773418
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.7664
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.763648
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.765476
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.761257
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.757886
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.752783
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.755034
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.756478
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.750365
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.748578
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.750058
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.746827
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.752633
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.748672
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.747319
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.747013
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.745748
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.74201
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.74094
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.738925
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.738472
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.743186
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.740953
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.741045
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.740558
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.740137
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.738472

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02053
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.986066
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.956459
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.930381
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.906534
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.886777
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868906
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.85028
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.838155
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.827914
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.810113
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.795893
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.782355
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.772658
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.765152
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.754861
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.747775
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.742467
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.735961
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.730038
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.727896
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.725405
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.721135
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.717063
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.712835
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.710868
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.710317
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.708222
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.707167
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.705993
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.70542
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.702987
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.702811
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.701774
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.700438
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.699276
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.699567
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.701733
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.70192
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.705175
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.706802
Stopping. Best iteration:
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.699276

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05265
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01558
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978851
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.952482
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925744
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.901384
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.882181
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.868623
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.855757
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.845311
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.830511
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.819042
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.814115
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.80693
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.798369
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.792371
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.790924
[17]	validation_0-merror:0.416667	validation_0-mlogloss:0.791336
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.788762
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.788283
[20]	validation_0-merror:0.416667	validation_0-mlogloss:0.786332
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.783131
[22]	validation_0-merror:0.416667	validation_0-mlogloss:0.781625
[23]	validation_0-merror:0.416667	validation_0-mlogloss:0.779091
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.774432
[25]	validation_0-merror:0.416667	validation_0-mlogloss:0.773677
[26]	validation_0-merror:0.416667	validation_0-mlogloss:0.773582
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.774396
[28]	validation_0-merror:0.416667	validation_0-mlogloss:0.77357
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.774559
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.776947
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.775512
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.77387
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.773
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.771662
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.773522
[36]	validation_0-merror:0.4	validation_0-mlogloss:0.777254
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.7796
[38]	validation_0-merror:0.4	validation_0-mlogloss:0.779677
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.779405
Stopping. Best iteration:
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.771662

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06247
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.0261
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990544
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.959803
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929789
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.90906
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.886568
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.870439
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.852527
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.84288
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.834119
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.824894
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.816153
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.812193
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.799368
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.793356
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.784527
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.777172
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.774231
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.770432
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.770085
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.765021
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.760369
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.75553
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.749938
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.749008
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.745405
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.743014
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.740091
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.736893
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.739417
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.741944
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.740087
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.734969
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.734765
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.738078
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.736889
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.735633
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.734091
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.732239
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.733421
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.730317
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.730955
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.731005
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.731487
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.733475
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.734712
Stopping. Best iteration:
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.730317

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.0623
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02141
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.990903
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.954534
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.930807
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.90403
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.883938
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.865382
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.845081
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.82534
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.817249
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804234
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.795804
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.784766
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.77715
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.770437
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.759743
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.755248
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.75491
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.750208
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.742926
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737647
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.730794
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.725641
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.72009
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.713781
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.712227
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.715934
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.709714
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.703414
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.697446
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.694964
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.697409
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.697365
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.700779
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.704166
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.704424
Stopping. Best iteration:
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.694964

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05741
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02517
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.98987
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.962401
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.927969
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906389
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882384
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.867255
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.846037
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.832516
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.820569
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.812787
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.805924
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.796081
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.788968
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.777606
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.773313
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.76538
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.769399
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.769114
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.769671
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.768743
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.77153
Stopping. Best iteration:
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.76538

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05954
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.0199
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.9836
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962194
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.931432
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.916332
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.895946
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.884166
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.865492
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.854784
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.842595
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.836226
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823281
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.812698
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.802912
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.803562
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.795343
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.789527
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.782383
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.779619
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.787098
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.790821
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.790287
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.785037
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.780404
Stopping. Best iteration:
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.779619

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04005
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00347
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.972457
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.943102
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.924117
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.895347
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.87474
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.854317
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.838869
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.826127
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.813125
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.803025
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.79082
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.777128
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.770337
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.763075
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.753384
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.749516
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.74622
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.745262
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.740394
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737767
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.733553
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.729188
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.727758
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.729434
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.723443
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.726183
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.725079
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.727309
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.722115
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.719428
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.715333
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.716797
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.718576
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.718885
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.717546
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.714593
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.713536
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.714504
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.720728
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.723111
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.724817
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.725106
Stopping. Best iteration:
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.713536

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05543
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00758
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.979957
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.945385
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.914045
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.883823
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.863635
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.848419
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.825031
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.814297
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.808348
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.805987
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.803418
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.798814
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.795144
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786277
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.784224
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.786887
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.785439
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.780918
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.774536
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.77524
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.773174
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.774222
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.777727
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.776329
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.775632
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.77541
Stopping. Best iteration:
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.773174

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04985
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0109
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.98572
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.963672
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.935083
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915632
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.89866
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.888757
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.871029
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.859041
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.852613
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.842381
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.828539
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.818974
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.809357
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.807365
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.806207
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800033
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.798149
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.79271
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.796363
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.797641
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.794284
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.7929
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.788758
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.792753
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.79143
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.795877
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.792713
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.789437
Stopping. Best iteration:
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.788758

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05008
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.00927
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.973761
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.94042
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.912032
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.885154
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.865308
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.846839
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.831106
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.821038
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.809402
[11]	validation_0-merror:0.25	validation_0-mlogloss:0.791581
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.778765
[13]	validation_0-merror:0.233333	validation_0-mlogloss:0.767007
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.760839
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.753474
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.746046
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.740366
[18]	validation_0-merror:0.233333	validation_0-mlogloss:0.736332
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.731286
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.72831
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.725745
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.72524
[23]	validation_0-merror:0.233333	validation_0-mlogloss:0.721411
[24]	validation_0-merror:0.233333	validation_0-mlogloss:0.717838
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.716829
[26]	validation_0-merror:0.233333	validation_0-mlogloss:0.715408
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.713087
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.713247
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.712348
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.714952
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.717727
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.717436
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.718234
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.716704
Stopping. Best iteration:
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.712348

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05846
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02531
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.989927
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.964709
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.93661
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.908128
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.88925
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.872428
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.856285
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.850297
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.842013
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.834352
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.828267
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.825112
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.820192
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.814111
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.810068
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.803862
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.804961
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.804831
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.799619
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.80249
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.806715
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.809391
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.808841
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.810459
Stopping. Best iteration:
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.799619

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06122
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02012
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.982755
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.955069
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.929895
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.901286
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.879679
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.866971
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.856234
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.84625
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.837078
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.832447
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.825564
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.824107
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.817208
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.810493
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.804973
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.801167
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.799823
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.800386
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.800456
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.800501
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.800599
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.799206
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.793539
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.793162
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.797885
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.798523
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.797457
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.800605
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.804772
Stopping. Best iteration:
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.793162

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05367
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01437
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.984003
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.949757
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928471
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903703
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.885904
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863376
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.842083
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.831599
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.824906
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.81334
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.804587
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.792032
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.778699
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.769831
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.761337
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.753005
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.750175
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.749002
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.738872
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.734491
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.726297
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.717541
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.710402
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.70625
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.700609
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.702015
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.702202
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.694915
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.6902
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.685234
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.682313
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.682072
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.682522
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.684437
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.686558
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.681364
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.68226
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.680507
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.682815
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.683989
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.677885
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.675294
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.676815
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.677554
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.681694
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.676787
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.679764
Stopping. Best iteration:
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.675294

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05784
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0236
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.990023
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.965205
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.931447
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.907711
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.888596
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.874708
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.855548
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.837949
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.824608
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.816533
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.804212
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.79772
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.792489
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.787692
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.786736
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.781422
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.78101
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.780042
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.779032
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.776265
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.779633
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.778791
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.779291
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.777142
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.775249
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.772805
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.775493
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.775743
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.777327
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.784261
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.785234
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.772805

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.0537
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.266667	validation_0-mlogloss:1.01343
[2]	validation_0-merror:0.25	validation_0-mlogloss:0.97765
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.962001
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.933861
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.918171
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.898382
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.885036
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.862272
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.851413
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.837388
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.82907
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.815327
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.802753
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.793568
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.795739
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.785586
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.777046
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.769939
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.762898
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.758493
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.75702
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.755552
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.748794
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.744666
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.749658
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.750815
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.748062
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.744172
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.744292
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.742029
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.741075
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.73463
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.73632
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.736909
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.740625
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.737352
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.735155
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.73463

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04489
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00948
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.978049
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.945677
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.92816
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904184
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.885249
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863311
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.845069
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.827853
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.814159
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.802087
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.791888
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.78243
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.770644
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.759821
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.748968
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.742236
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.739677
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.739556
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.73623
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.734536
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.725843
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.722988
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.719852
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.715879
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.710891
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.715053
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.714152
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.714065
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.707401
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.703763
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.698636
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.700189
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.702004
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.700888
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.70295
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.700094
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.698636

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05063
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00951
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.983548
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.952363
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.921312
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.899101
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.881194
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.863398
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.844103
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.828314
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.820277
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.81653
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.808237
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.801587
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.796787
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.787175
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.786097
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.782605
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.780407
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.775622
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.771382
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.772363
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.768468
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.771691
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.775641
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.775898
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.774067
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.777443
Stopping. Best iteration:
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.768468

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05486
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01273
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.983498
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961764
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.92755
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.908415
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.89186
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.87803
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.860731
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.852493
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.845429
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.83145
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.81918
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809593
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797998
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795723
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.791248
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.783391
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.782601
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.77777
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.778511
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.781832
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.779324
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.775429
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.771626
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.774247
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.772056
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.774234
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.769796
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.772243
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.772191
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.777826
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.775753
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.782644
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.769796

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05358
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01416
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.974799
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.948329
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.918654
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.896176
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.874533
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.857746
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.843734
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.837248
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.825966
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.808895
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.794527
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.779522
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.77072
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.758963
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.752359
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.746281
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.743688
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.741964
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.736916
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.732515
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.734394
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.733814
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.73401
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.731516
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.729775
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.728994
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.729115
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.725438
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.723891
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.723298
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.724723
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.72774
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.728102
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.729816
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.731654
Stopping. Best iteration:
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.723298

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05363
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01839
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.982522
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957138
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.930139
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.903527
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.882718
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864184
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.850532
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.839649
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.826508
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812757
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.804832
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.795724
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788856
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78185
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.779675
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.775004
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.77564
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.772355
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.772909
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.772117
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.773124
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.773245
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.772346
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.773262
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.775376
Stopping. Best iteration:
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.772117

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05623
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02177
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98357
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.952902
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.930441
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.903552
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.883043
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.866889
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853185
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.847017
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.841821
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.829923
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.819532
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.811805
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.80297
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.799526
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.787844
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.779866
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.773356
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.768685
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.767815
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.765937
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.76405
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.762846
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.756395
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.757098
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.756091
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.758473
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.758498
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.759071
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.762822
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.765572
Stopping. Best iteration:
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.756091

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.0628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02203
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989209
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957636
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934998
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.908042
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.891752
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.872002
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.856625
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.843154
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834761
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.821659
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810068
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.805375
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.797855
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.788368
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.778072
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.76714
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.766179
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.763208
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.75428
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.750651
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.746733
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.733072
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.72687
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.727784
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.725753
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.72792
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.728359
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722156
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.718348
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.714012
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.712187
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.711149
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.714297
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.715283
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.716401
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.714584
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.712184
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.711149

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02349
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.987014
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962339
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.932955
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.91006
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886102
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.865664
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.84818
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.829433
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814538
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.806106
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.800137
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.793291
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.788434
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.78384
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.779841
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.775722
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.777555
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.775463
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.771419
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.769819
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.771949
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.772971
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.773014
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.772545
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.771663
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.769819

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06196
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02022
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.985642
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965685
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.940533
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.918244
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.898457
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.884577
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.864662
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.852361
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.835425
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.825466
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.814459
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.800981
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.789602
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.789266
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.780453
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.769386
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.766387
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.759231
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.751377
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.750504
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.747696
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.740014
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.736144
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.737659
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.738617
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.736691
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.732835
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.729909
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.726733
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.723005
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.717473
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.720833
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.721099
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.727523
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.727254
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.724043
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.717473

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04786
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00963
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.981267
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.944418
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.924992
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.901121
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.883184
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.861413
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.842896
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.82942
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.818023
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.805166
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.793605
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.785938
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.776683
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.767502
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.755546
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.748682
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.743679
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.745501
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.737982
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.735668
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.730667
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724505
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.721666
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.718478
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.714395
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.717194
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.714976
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.715546
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.709891
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704975
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.7025
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.701111
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.699666
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.695326
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.691915
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.694178
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.696034
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.692415
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.693997
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.692608
Stopping. Best iteration:
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.691915

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04869
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00611
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.976492
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.947632
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.916138
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.890466
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.874753
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.856716
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.835831
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.820028
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.812084
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807274
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.79693
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.790708
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.787933
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.781631
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.781023
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.781522
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.777864
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.774722
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.768021
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.767849
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.766108
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.76624
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.767968
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.768291
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.768884
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.766123
Stopping. Best iteration:
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.766108

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05668
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01144
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.983868
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.963917
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.940283
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916948
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.894763
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.880962
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.860102
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.849173
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.840865
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.826653
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.814025
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.804285
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.793319
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.792936
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.789391
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.780853
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.780544
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.776695
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.772281
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.772449
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765775
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.763099
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.756132
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756401
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.74847
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.747582
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.743184
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.740766
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.741878
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.739314
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.738736
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.743059
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.739013
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.74572
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.748201
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.746825
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.738736

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05235
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01363
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.97598
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.945138
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.919363
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.892525
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.86901
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.8512
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.834024
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.826523
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.818684
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.799247
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.784116
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.773163
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.766209
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.759415
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.752326
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.743256
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.734028
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.726042
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.719379
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.713843
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.709151
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.704826
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.700889
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.696134
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.69112
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.691301
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.688911
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.687275
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.685503
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.686509
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.686605
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.686456
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.68768
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.688721
Stopping. Best iteration:
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.685503

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05365
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01755
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.979223
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.952691
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.926301
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.90139
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.880824
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.860929
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.848471
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83803
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.824148
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.809875
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.79865
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.789969
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.789002
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.779204
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.776802
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.776018
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.775005
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.770162
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.768336
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.766395
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.765873
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.766713
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.766242
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.766333
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.767977
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.770159
Stopping. Best iteration:
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.765873

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06406
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02655
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.991475
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967981
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.939127
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.912703
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.892669
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.871401
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.849666
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.84562
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.832173
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818158
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.806584
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.797112
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.783902
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.776885
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.763411
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.75943
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.758281
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.75511
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.754481
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.75141
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.748079
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.74243
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.740334
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.73921
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.739717
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.739528
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.737141
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.736866
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.737979
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.739295
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.738701
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.738754
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.736838
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.73531
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.736477
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.738012
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.73666
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.739764
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.743146
Stopping. Best iteration:
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.73531

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06392
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.03552
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00184
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.970401
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.948268
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.9228
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.906488
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.888842
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.873094
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.853366
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842736
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.828871
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.817591
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.809833
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.799121
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.790311
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780682
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.771248
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.768192
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76497
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.754374
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749426
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745389
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.744181
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.736389
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.739148
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.737076
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.73717
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.738237
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.73198
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.730769
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.72813
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.726322
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.723572
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.725373
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.729868
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.73082
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.729007
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.727917
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.723572

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0614
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02665
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.988637
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.962568
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.927061
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.905888
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.883717
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864517
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.846981
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.82983
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.813718
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.805176
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.797951
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.789702
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.78453
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.777803
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.77408
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.767018
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.767616
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.76295
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.757779
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.752174
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.75357
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.756443
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.760493
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.75881
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.756136
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.752174

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02467
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.989155
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.967002
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940658
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.920882
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.902973
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887919
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.871007
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.858915
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.842588
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.83324
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.81605
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.801153
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.789819
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.791214
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.78359
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.774227
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.76959
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.764194
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.758517
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.753542
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.751614
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.744992
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.742724
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.743022
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.744637
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.743988
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.743309
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.737756
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.73733
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.731238
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.728993
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.732127
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.733865
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.741227
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.739447
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.7365
Stopping. Best iteration:
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.728993

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04991
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01286
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.986738
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.950275
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.927487
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.901329
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.879576
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.863051
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.85058
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.834559
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.821798
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.809954
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.798805
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.789503
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.781032
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.772981
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.767095
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.758822
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757867
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754546
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748033
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.743073
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.736598
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.732267
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.728058
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.724515
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.718046
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.72033
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.7228
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.717889
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.712819
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.709295
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.706644
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.703701
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.701821
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.699485
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.696772
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.69505
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.697193
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.69149
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.692611
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.69089
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.690333
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.689072
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.688831
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.690087
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.691222
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.689941
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.688864
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.687113
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.689552
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.69119
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.687097
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.690113
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.686932
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.685874
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.687486
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.688636
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.691096
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.692092
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.693321
Stopping. Best iteration:
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.685874

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05593
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01344
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.984334
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.951814
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.920576
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.894401
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.880053
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.858517
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.839937
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.825282
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.81663
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.811325
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.800263
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.795794
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.794399
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.783966
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.780105
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.778675
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.776831
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.770696
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.76029
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.760306
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.758462
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.761234
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.761759
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.760753
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.759706
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.75637
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.756718
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.757697
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.760255
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.761724
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.761592
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.75637

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06034
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.25	validation_0-mlogloss:1.01509
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985204
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.962419
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.942212
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.917736
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.896292
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.882379
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.862125
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.85057
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.838986
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.82573
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.814443
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.805078
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.794426
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789375
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.785277
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.77899
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.779498
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.77504
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.767374
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.768216
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.765171
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.757304
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.756232
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.754106
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.747196
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.745061
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.740673
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.73522
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.736349
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.731403
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.729678
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.733329
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.727224
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.731634
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.729314
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.727894
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.727087
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.730316
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.725253
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.724994
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.725316
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.727634
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.732404
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.73288
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.733042
Stopping. Best iteration:
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.724994

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05908
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02115
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.987041
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.955379
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.930897
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.908979
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.890289
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.871415
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.85322
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.842614
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.831066
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.812187
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.796829
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.78348
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.7743
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.764461
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.759154
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.753568
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.748929
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.742362
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.736582
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.731252
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.726746
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.726304
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723754
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.719999
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.716373
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71508
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.713668
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712994
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.712483
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.710911
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.710369
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.708986
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.7125
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.712698
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.712972
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.710399
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.709647
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.708986

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05135
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01557
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978458
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.954763
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.930581
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.90726
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.890432
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.875748
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.862284
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.853947
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.838744
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.825314
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.813588
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.809093
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.804407
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802403
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.799832
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.795315
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.797738
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.796727
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.794601
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.792415
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.793421
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.792062
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.790689
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.791176
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.793239
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.794944
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.796546
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.798548
Stopping. Best iteration:
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.790689

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06223
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02529
[2]	validation_0-merror:0.25	validation_0-mlogloss:0.986387
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.961231
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.932211
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.912856
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.892074
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.87618
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.859033
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.85307
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.840399
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.832315
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.823589
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.818482
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.805224
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.805559
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.797671
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.78948
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.790162
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.788209
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.78726
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.781464
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.776172
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.767903
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.766344
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.762263
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.761119
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.761857
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.757416
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.758127
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.758522
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.758381
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.756998
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.754753
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.753806
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.751921
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.750265
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.75068
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.751895
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.753402
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.753786
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.753615
Stopping. Best iteration:
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.750265

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05968
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03543
[2]	validation_0-merror:0.45	validation_0-mlogloss:1.00486
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.972265
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.95177
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.931339
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.913321
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.896467
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.877948
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.862862
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853273
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.840955
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.828628
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.817517
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.807614
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.79865
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.786975
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.778365
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.77458
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.773115
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.764297
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.759272
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754451
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.746436
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.738521
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.736998
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.734396
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.732127
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.726791
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722527
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.720212
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.716296
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.715405
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.7127
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.714792
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.715349
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.714228
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.713621
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.716885
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.7127

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06076
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02762
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.990376
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.963564
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.931512
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.912125
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.890058
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868858
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.849437
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.831181
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814899
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804573
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.796381
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.78862
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.785969
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.77883
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.775035
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.765828
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.764598
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.758833
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.752875
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.747057
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.747253
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.748242
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.749472
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.74801
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.747104
Stopping. Best iteration:
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.747057

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06357
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02568
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.99034
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.971349
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.949894
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.92728
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904369
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887618
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.867669
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.8532
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.834051
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823475
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.812282
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.799644
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789269
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787193
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779306
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.770041
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.763252
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.758772
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.756318
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.749118
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.749396
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.741771
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.738588
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.741502
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.739665
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.736606
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.734795
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.730167
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.727024
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.724901
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.722512
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.723175
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.721581
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.725374
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.726599
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.725377
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.723971
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.725655
Stopping. Best iteration:
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.721581

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04985
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.01932
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.989122
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.953933
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929909
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.904719
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.887644
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.87117
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.855914
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.838448
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.829313
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.81511
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80385
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.797804
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.787428
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.777847
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.770808
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.761749
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.75958
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.757108
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.751218
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.749021
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.739392
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.737425
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.733144
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.728466
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.726318
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.727648
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.726804
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.724993
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.722103
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.716996
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.711611
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.711253
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.709928
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.705589
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.70286
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.700756
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.704611
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.700127
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.700714
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.695796
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.695386
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.694691
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.694373
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.6952
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.696334
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.693648
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.692459
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.692736
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.692142
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.692688
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.691205
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.692807
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.688637
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.687217
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.688795
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.68939
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.692557
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.691665
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.689264
Stopping. Best iteration:
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.687217

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.06022
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01778
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.987977
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.956837
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.927562
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907419
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.891977
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.86983
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.850678
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.833624
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.821
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814036
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.802843
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.798696
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.793108
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786096
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.782686
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.776606
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.772324
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.767885
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.758504
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.754955
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.752032
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.75308
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.753736
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.749493
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.747122
[27]	validation_0-merror:0.416667	validation_0-mlogloss:0.744796
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.744482
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.743286
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.746101
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.74424
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.744177
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.748294
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.749772
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.743286

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05943
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02208
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995979
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.971999
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.950715
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.930535
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.911475
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.898484
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.877445
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.865537
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.854265
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.843537
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.831839
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.822412
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.812767
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.806345
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.800511
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.791002
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.789112
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.786039
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.777389
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.776935
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.773418
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.7664
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.763648
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.765476
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.761257
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.757886
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.752783
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.755034
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.756478
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.750365
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.748578
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.750058
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.746827
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.752633
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.748672
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.747319
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.747013
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.745748
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.74201
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.74094
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.738925
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.738472
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.743186
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.740953
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.741045
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.740558
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.740137
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.738472

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02053
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.986066
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.956459
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929283
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.905516
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.886515
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868645
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.851066
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.839065
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.828782
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.811347
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.79713
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.783593
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.774724
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.764873
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.755754
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.747623
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.742291
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.734641
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.727962
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.72582
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.723722
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.722796
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.719292
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.715985
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.711666
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.71075
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.707916
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.706651
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.706011
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.704958
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.702432
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.701896
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.704172
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.703728
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.702266
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.703345
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.705045
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.701896

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05265
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01558
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978851
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.952482
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925744
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.901384
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.882181
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.868623
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.856866
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.846403
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.831586
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.820565
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.814084
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.80533
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.796747
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.790758
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.788605
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.787997
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.785434
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.784962
[20]	validation_0-merror:0.416667	validation_0-mlogloss:0.784407
[21]	validation_0-merror:0.416667	validation_0-mlogloss:0.781488
[22]	validation_0-merror:0.416667	validation_0-mlogloss:0.779762
[23]	validation_0-merror:0.416667	validation_0-mlogloss:0.778511
[24]	validation_0-merror:0.416667	validation_0-mlogloss:0.773079
[25]	validation_0-merror:0.416667	validation_0-mlogloss:0.772318
[26]	validation_0-merror:0.416667	validation_0-mlogloss:0.769127
[27]	validation_0-merror:0.416667	validation_0-mlogloss:0.770031
[28]	validation_0-merror:0.416667	validation_0-mlogloss:0.768439
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.771285
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.771236
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.769828
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.770168
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.768538
Stopping. Best iteration:
[28]	validation_0-merror:0.416667	validation_0-mlogloss:0.768439

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06247
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.0261
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990544
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.959803
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929789
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.90906
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.886568
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.870439
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.852527
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.84288
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.834119
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.824894
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.816153
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.812193
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.799368
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.793356
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.784527
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.777172
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.774231
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.770432
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.770085
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.765021
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.760369
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.75553
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.749938
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.749008
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.745405
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.743014
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.740091
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.736893
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.739417
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.741944
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.740087
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.734969
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.734765
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.738078
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.736889
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.735633
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.734091
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.732239
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.733421
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.730317
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.730955
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.731005
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.731487
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.733475
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.734712
Stopping. Best iteration:
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.730317

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06135
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02496
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998763
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965218
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.944513
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.920399
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.901523
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885842
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.865485
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.852847
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.84274
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.827972
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.816693
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809165
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.796987
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78271
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774703
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.764141
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.760351
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754978
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748982
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.743276
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.734155
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727314
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.718553
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.712251
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.705513
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.703467
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.698722
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.690792
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.687757
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.683653
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.679492
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.678671
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.678731
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.680546
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.680477
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.675015
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.67494
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.672809
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.668994
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.668664
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.66367
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.663246
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.664223
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.66297
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.664091
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.660094
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.658453
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.662658
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.660274
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.665285
[52]	validation_0-merror:0.25	validation_0-mlogloss:0.665362
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.667361
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.658453

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05716
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02075
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.9857
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.960764
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.933283
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.912794
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.892119
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.875536
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858593
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.841357
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.827453
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814817
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.799543
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79219
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.786748
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.777844
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.773988
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767633
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.765745
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.762265
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.759641
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.754316
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.755142
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.754573
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.756928
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.752085
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.745454
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.740642
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.735492
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.737743
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.739178
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.73758
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.737323
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.733442
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.737822
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.738582
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.732219
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.733716
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.732798
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.731712
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.731729
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.728125
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.727249
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.723178
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.72537
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.725789
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.732085
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.729801
[48]	validation_0-merror:0.383333	validation_0-mlogloss:0.731159
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.723178

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06252
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02418
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.990121
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.966782
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.94126
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.918289
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.897109
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.880505
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.864166
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.850843
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.833094
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.822278
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.811359
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.79554
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.787049
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.782125
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773362
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.768126
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757056
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.749962
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.747379
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.740732
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.736318
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.727279
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.725922
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.723813
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.720982
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.719312
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.714924
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.708857
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.702247
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.697175
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.691865
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.694495
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.691799
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.691682
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.683233
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.678231
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.676629
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.675696
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.676184
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.670574
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.670071
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.664667
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.661574
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.661173
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.662798
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.66064
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.660774
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.66098
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.660193
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.660102
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.654375
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.65638
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.660846
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.659513
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.656547
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.655863
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.654375

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05432
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02087
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.996762
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.961435
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940231
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918891
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.899607
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.879108
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.862226
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.846767
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834201
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820309
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.808977
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801437
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788053
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.774662
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765651
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.756835
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.752274
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.749395
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.743496
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737617
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.729695
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72454
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.719891
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.711041
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.703669
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.703185
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.70357
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.701056
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.694553
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.689431
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.68227
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.67986
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.676882
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.673752
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.672646
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.674198
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.675125
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.672354
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.66949
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.666372
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.666149
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.667126
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.662882
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.662002
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.660119
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.658208
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.654903
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.654815
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.654034
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.656212
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.653512
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.656474
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.656333
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.655221
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.658844
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.65702
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.653512

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05661
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02089
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.994132
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.963489
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939132
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916009
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.899676
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.884175
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.869303
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.856854
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.847644
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.840815
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.826285
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.818357
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.810319
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.800885
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.795192
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.790603
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.783178
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.774504
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.76615
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.760749
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.756888
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.754357
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.754199
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.748542
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740174
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.737407
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.735932
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.735608
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.732736
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.733051
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.728363
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.722083
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.719927
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.719662
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.716636
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.719674
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.718987
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.722729
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.721729
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.724431
Stopping. Best iteration:
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.716636

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06162
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02419
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.995502
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.968754
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.94702
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.924702
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.902362
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885106
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867463
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856766
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.846775
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.834811
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.823605
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815476
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.805527
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.800097
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.796132
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.790008
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.781135
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.778585
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.770054
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.760815
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.753178
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.743442
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.736994
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.732118
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.725374
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.721896
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.715487
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.710262
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.706307
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.704656
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.698176
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.697719
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.69328
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.690756
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.68531
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.682423
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.681435
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.679769
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.676967
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.677228
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.676296
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.674787
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.673339
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.673553
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.67077
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.670217
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.668148
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.67099
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.669343
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.668507
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.667681
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.669147
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.669891
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.667513
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.664661
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.662035
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.661858
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.661377
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.663087
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.663272
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.660838
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.663801
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.663625
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.660407
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.661714
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.66213
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.663162
[69]	validation_0-merror:0.3	validation_0-mlogloss:0.663814
[70]	validation_0-merror:0.3	validation_0-mlogloss:0.663081
Stopping. Best iteration:
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.660407

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05611
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02068
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.98647
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.955587
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.931792
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.90804
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.887698
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868128
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.851453
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83916
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826822
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814517
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.801452
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.787164
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.777067
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.766363
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.759598
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.751441
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.744675
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.737542
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.732692
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.725629
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.723977
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.717806
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.714234
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.707452
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.705553
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.701681
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.699574
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.695219
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.692745
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.692334
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.689594
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.683491
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.682935
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.67884
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.673902
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.672152
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.673187
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.672742
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.670903
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.670114
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.66811
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.668452
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.669251
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.669713
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.669759
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.671504
Stopping. Best iteration:
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.66811

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05781
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02599
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.995518
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970909
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.945964
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.924741
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.90338
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.892087
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879878
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.868035
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.858636
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.845897
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.836876
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.828572
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.823106
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.81337
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.806314
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.80081
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.795323
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.788574
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.781864
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.77704
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.775072
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.771137
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.766533
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.761551
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.756094
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.755624
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.75409
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.749879
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.749669
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.746814
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.743929
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.741884
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.738785
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.734897
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.735207
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.732978
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.732709
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.734316
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.731692
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.730103
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.728576
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.72767
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.725456
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.724403
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.722426
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.721043
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.720289
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.71889
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.720501
[51]	validation_0-merror:0.366667	validation_0-mlogloss:0.720751
[52]	validation_0-merror:0.366667	validation_0-mlogloss:0.719362
[53]	validation_0-merror:0.366667	validation_0-mlogloss:0.723407
[54]	validation_0-merror:0.366667	validation_0-mlogloss:0.722585
Stopping. Best iteration:
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.71889

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06798
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03255
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.999221
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.974127
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.950911
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.924384
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.90385
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897919
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.88126
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.875527
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.868387
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.861738
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.856411
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.848712
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.837216
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.829229
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.818035
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.810373
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.806616
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.794778
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.787444
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.779611
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.771777
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.765522
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.758147
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.753596
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.748856
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.747531
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.743647
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.740226
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.739174
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.737595
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.734611
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.730741
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.727411
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.723939
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.719738
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.718335
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.717296
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.715826
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.713561
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.711778
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.709905
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.707107
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.705416
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.706502
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.703592
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.701703
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.698413
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.696688
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.693615
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.692733
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.689947
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.687976
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.688357
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.688331
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.685909
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.685357
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.683309
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.682086
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.678891
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.678269
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.67715
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.674565
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.675048
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.675612
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.673863
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.673506
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.673844
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.673522
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.674996
[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.674439
[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.67437
Stopping. Best iteration:
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.673506

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05895
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02293
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.996971
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965337
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.945061
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.921178
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904512
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885487
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.867404
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.854894
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.843545
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.829353
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.818614
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809353
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.798698
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786354
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779773
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.768606
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.764554
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.75882
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.751028
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.746304
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.739456
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.732752
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723362
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.716918
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.710735
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.707344
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.703446
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.697661
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.694612
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.690082
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.683801
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.683268
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.683308
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.685892
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.685011
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.681396
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.680988
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.678824
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.677328
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.675501
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.672583
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.67209
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.67363
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.672567
[46]	validation_0-merror:0.25	validation_0-mlogloss:0.673819
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.668379
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.666964
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.671152
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.66857
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.672131
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.672121
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.673889
Stopping. Best iteration:
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.666964

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02207
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.987318
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.96357
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.936694
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914851
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891793
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.874478
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857559
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.839168
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.827136
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814449
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.801832
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.794364
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.793111
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.783778
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.7795
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.7759
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.774326
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.770362
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.768979
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.763572
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.763605
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.762508
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.763484
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.759097
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.755725
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.752425
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.751232
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.752196
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.753289
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.74972
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.751072
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.746763
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.749789
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.75435
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.748351
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.749632
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.747318
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.746763

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06263
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02431
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.990213
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966924
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.941126
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.917951
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.895385
[7]	validation_0-merror:0.25	validation_0-mlogloss:0.879677
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.863258
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.851672
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.832989
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.82214
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.811029
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.793484
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.784663
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781564
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775231
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768731
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757786
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.75076
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.747943
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.741247
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.736975
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.727795
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.72446
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.723126
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.721728
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.720229
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.71441
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.717572
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.711565
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.70517
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.700455
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.70098
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.698046
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.698928
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.691294
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.686014
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.682728
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.682596
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.686096
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.680376
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.679398
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.674221
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.672392
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.671975
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.675664
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.672352
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.671662
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.673772
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.672472
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.670992
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.667204
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.669971
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.675001
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.673031
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.672584
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.671139
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.667204

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05336
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02036
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.994915
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.959577
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.940379
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92053
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905109
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.884934
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.868054
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852718
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.840084
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.827706
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.815005
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.806714
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.792799
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.778826
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.770331
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.761343
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.75631
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.752714
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.745664
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.74245
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.733729
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.728586
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.724144
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714519
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.707732
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.706382
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.707499
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.705535
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.69799
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.693504
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.684425
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.680727
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.676806
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.672957
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.670148
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.671344
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.671593
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.668963
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.665909
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.661918
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.660947
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.661243
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.657541
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.65647
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.654225
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.650985
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.647595
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.648489
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.648072
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.649514
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.647534
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.651567
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.650569
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.650889
[56]	validation_0-merror:0.25	validation_0-mlogloss:0.652702
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.651136
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.647534

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05629
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02317
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.995737
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.964928
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.94127
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.918261
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.9017
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.886367
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.871101
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.858622
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.849348
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.842698
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.830821
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.82451
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.813968
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.804428
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.801447
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.797561
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.789961
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.784672
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.776367
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.768398
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.765373
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.759718
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.760008
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.754043
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.744106
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.742754
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.739918
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.736122
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.737678
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.737312
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.732387
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.728673
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.727994
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.728023
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.725852
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.726106
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.726113
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.728474
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.726601
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.730191
Stopping. Best iteration:
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.725852

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06305
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0268
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998088
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.975034
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.953303
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.930146
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.908037
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.890958
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.872727
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.862775
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.850508
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.839245
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.828536
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.820359
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.812421
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.806426
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.801866
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.794192
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.784985
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.779746
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.770376
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.761457
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.755326
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.750229
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.740694
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738641
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.731371
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.72745
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.720873
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.714381
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.709125
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.707457
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.700822
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.700408
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.695308
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.694387
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.688152
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.684386
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.683317
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.681225
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.678544
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.677446
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.675934
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.675497
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.674749
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.675592
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.672427
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.669915
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.667669
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.670479
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.66908
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.669301
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.668388
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.669711
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.667669

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02218
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.986227
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.956672
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932714
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.909271
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88971
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868898
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.853149
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.842651
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830703
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.816472
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.803696
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.790413
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.781244
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.770056
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.76272
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.760391
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.753471
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.744745
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.738559
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.731161
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.729366
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.72787
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.721862
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.715144
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.709788
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.708188
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.703017
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.696888
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.694113
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.692491
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.690421
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.688538
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.686554
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.680235
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.678538
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.676115
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.675768
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.676583
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.673671
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.673727
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.673302
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.67398
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.673878
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.67113
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.669838
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.67142
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.670839
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.672517
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.670975
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.670959
Stopping. Best iteration:
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.669838

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05674
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02435
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993657
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.968617
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.94356
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.921957
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.903378
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.889204
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.876313
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863351
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.851939
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.838437
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.829885
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.822129
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.814838
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.805002
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.798815
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.792823
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.786125
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.785721
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.779135
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.774327
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.772607
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.767682
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.761791
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.757758
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.751913
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.750706
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.745952
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.743365
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.74201
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.737264
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.736026
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.732593
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.731125
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.727945
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.727391
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.723609
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.720419
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.718492
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.71767
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.71581
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.714834
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.714001
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.713168
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.712359
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.709711
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.709379
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.709033
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.707703
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.708733
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.708841
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.70936
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.712099
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.711099
Stopping. Best iteration:
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.707703

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06754
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03172
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.999086
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.973193
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.948428
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.925296
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904734
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895911
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875467
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866637
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.861219
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.855125
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.84658
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.838525
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.829713
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.821472
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.813832
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.802927
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.794111
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.790177
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.780864
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.775369
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.766516
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.76159
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.752159
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.751028
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.743736
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.740111
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.736442
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.732672
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.730429
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.72729
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.724517
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.719755
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.71677
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.712463
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.708291
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.704873
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.703324
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.701481
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.700292
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.698344
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.695416
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.693277
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.69302
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.692518
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.688885
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.688224
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.685658
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.683571
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.683288
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.685757
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.684082
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.682018
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.680455
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.68184
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.683031
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.682427
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.679519
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.678787
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.678749
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.682854
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.684363
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.684123
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.682257
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.680668
Stopping. Best iteration:
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.678749

[0]	validation_0-merror:0.516667	validation_0-mlogloss:1.06381
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02945
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00256
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.973673
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.952866
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.925882
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.909063
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.890257
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.872679
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.858094
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.845985
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.833887
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823138
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813472
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.803495
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.795604
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.78699
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.775316
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.771064
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766808
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759611
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.754317
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.74866
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.741188
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.732935
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.726988
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.720366
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.716915
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.714998
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707287
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.704494
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.698817
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.696119
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.693087
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.69224
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.694692
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.694155
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.690147
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.691432
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.689496
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.684828
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.685548
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.682164
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.681404
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.683219
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.681347
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.681407
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.678726
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.677945
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.678696
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.676334
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.68022
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.679989
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.681927
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.6811
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.680486
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.676334

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02024
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.986567
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961473
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934308
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.910889
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.888173
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.870272
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.8535
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.835879
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.821232
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.807545
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.793121
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.785504
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.780522
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.771828
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.767434
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.75875
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757506
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.752888
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.750508
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745125
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.743787
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.742501
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.741494
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.73743
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.734785
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.729092
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.726741
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.728145
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.729186
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.727157
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.727259
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.72329
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.726857
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.730392
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.724073
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.726784
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.726212
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.72329

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06649
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02828
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.994208
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.9696
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.94695
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.921567
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.900247
[7]	validation_0-merror:0.25	validation_0-mlogloss:0.882527
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.866385
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.854686
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.835744
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.824328
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.81294
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798097
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.789784
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784811
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775214
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769669
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.760204
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753533
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749644
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.744377
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740266
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.730821
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.727485
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.726668
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.725104
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.721838
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.717816
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.719743
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.713736
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.709798
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.70194
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.703505
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.700481
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.703047
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.698775
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.696126
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.692277
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.691972
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.694534
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.689254
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.689706
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.68676
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.683787
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.681824
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.685455
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.68205
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.678747
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.680001
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.679882
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.678981
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.674073
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.6751
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.68058
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.678552
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.677351
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.676415
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.674073

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05321
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02047
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.995754
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.962628
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.94353
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925841
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.9091
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.88869
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.873153
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.857855
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.846938
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.833714
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.821698
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.815196
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.800435
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787067
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.779196
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.771552
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.766599
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762811
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.755558
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.749301
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.740774
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.735518
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.73165
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.721568
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.71596
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.714567
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.715108
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.709066
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.703108
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.701079
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.693982
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.691657
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.688113
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.683696
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.682272
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.683595
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.684288
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.684229
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.683782
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.679665
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.678959
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.679157
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.675325
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.673584
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.671973
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.666362
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.661979
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.663588
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.663531
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.664401
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.66241
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.664464
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.661979

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05671
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02381
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996379
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.968896
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.945863
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.922445
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.906056
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.888813
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.873046
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.860822
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.851558
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.845725
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.833879
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.826333
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.815376
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.805642
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800006
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.795111
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.788805
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.781961
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.774452
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.766526
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.760517
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.755703
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.75554
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.749634
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.740499
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.737875
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.734884
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.733111
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.734045
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.732792
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.727922
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.72422
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.722382
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.721836
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.719148
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.72235
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.721487
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.724416
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.722979
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.724817
Stopping. Best iteration:
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.719148

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06305
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02691
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998191
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.975112
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.953477
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932775
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.912037
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895964
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.876358
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.866273
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.853513
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.841796
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.831096
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.825527
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.818618
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.812053
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.805984
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.798903
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.791531
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.789006
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.783527
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.776811
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.770576
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.761563
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.753096
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.751201
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.743543
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.739522
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.732331
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.727619
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.724528
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.719109
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.712288
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.712234
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.709963
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.708978
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.701557
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.696789
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.695083
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.69328
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.689185
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.689471
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.687836
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.686866
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.687435
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.685599
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.684598
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.681853
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.679008
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.680731
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.679349
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.679221
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.679644
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.680932
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.679008

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05867
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02302
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.989497
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.959657
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.935418
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.912516
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.891843
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.873398
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857465
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846788
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834717
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820751
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.808764
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.796068
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786779
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.777116
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.767519
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.759293
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.753659
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.746307
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.741695
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.734405
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.732585
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.730486
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.728883
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.719155
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.71731
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.714106
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.709122
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.700486
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.698325
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.696663
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.692554
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.686748
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.683957
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.679388
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.677278
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.673276
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.672528
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.671352
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.671595
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.673944
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.673336
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.675446
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.676027
Stopping. Best iteration:
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.671352

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05705
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02725
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996394
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.970504
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.943641
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.922253
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.903917
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.885527
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87216
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.863664
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852815
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.842987
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.829957
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.822606
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.815651
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806027
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.798424
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.793389
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.787498
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.784101
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.777342
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.771959
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.764641
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.760921
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.756575
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.754691
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.748883
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.746855
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.743923
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.741082
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.740677
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.739129
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.740345
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.739339
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.739771
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.738324
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.738892
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.738213
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.736508
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.73257
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.735818
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.735418
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.734904
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.735618
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.734952
Stopping. Best iteration:
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.73257

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03114
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997493
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971687
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.949147
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926288
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.906025
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.897354
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.876942
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.867092
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.861916
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.854594
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.84827
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.839723
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.830579
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.822832
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80928
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.800111
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.788767
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.783381
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.779538
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.770167
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.762126
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.754039
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.74599
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.742638
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.738177
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.73657
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.73279
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.724964
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.724824
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.719783
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.715766
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.711105
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.706699
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.701957
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.700264
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.697712
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.694657
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.692249
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.689349
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.688561
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.686037
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.684631
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.68312
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.680026
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.678682
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.677579
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.67606
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.674357
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.673721
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.670862
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.670396
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.669595
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.668471
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.669949
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.668866
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.667927
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.66555
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.666771
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.66475
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.663738
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.662644
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.662237
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.661477
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.663259
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.664379
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.663748
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.664124
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.664291
Stopping. Best iteration:
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.661477

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06586
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03794
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.00958
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.97925
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957714
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.929205
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.912377
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.894361
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.876652
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.861531
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.84937
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.837884
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.827083
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.817181
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.807158
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.796098
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.786344
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.776099
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.771758
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.76715
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.75838
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.751871
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745727
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.738618
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.729386
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.728666
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.724575
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.721783
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.717789
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.711486
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.709268
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704782
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.701918
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.702778
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.701642
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.70391
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.702613
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.701546
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.701766
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.69999
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.697793
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.696139
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.6934
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.69333
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.695028
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.692525
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.694693
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.692574
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.691598
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.695092
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.693227
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.696141
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.694974
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.696672
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.691598

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02075
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.987031
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.96022
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.932139
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.911389
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.890669
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.872865
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.855305
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.838742
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.823702
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.811277
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.799423
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.790891
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786157
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.777413
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.772624
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.766662
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.765377
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.758864
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754841
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.749257
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.748924
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.746326
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.748307
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.743285
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.739744
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.734125
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.730992
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.730978
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.730617
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.727652
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.727726
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.724338
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.728331
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.731821
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.725672
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.728694
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.728399
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.724338

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06617
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02796
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.994569
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.972002
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.949225
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92622
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.903872
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.886134
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.87136
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.859379
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.840754
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.829014
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.817506
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.80225
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.79236
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.790747
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.783252
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.776314
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767582
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.761308
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.757934
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.753662
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.749549
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.737421
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.73486
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.735315
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.734956
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.733287
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.729976
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.733191
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.726492
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.721628
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.716917
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.719894
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.716782
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.721577
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.717705
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.715708
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.711653
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.714669
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.712606
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.709092
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.709825
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.705656
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.70266
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.699279
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.703081
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.700518
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.697049
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.699666
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.698951
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.6972
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.692541
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.694387
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.702978
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.701739
[56]	validation_0-merror:0.333333	validation_0-mlogloss:0.701069
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.7011
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.692541

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0559
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02377
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.998034
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965322
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.945261
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.926622
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.90522
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887186
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.87519
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.859965
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.847652
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.834092
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.824472
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.816571
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.802493
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788504
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780791
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773435
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.770087
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76788
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760326
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.754618
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.746226
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.740547
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.736362
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.730188
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.725447
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.723498
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.722426
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.718762
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.713757
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.709202
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.702828
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.698397
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.696177
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.692702
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.689406
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.682659
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.683594
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.680315
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.681385
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.675376
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.674823
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.674994
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.673799
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.672309
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.670446
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.66504
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.661806
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.662572
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.662243
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.661944
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.656284
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.660002
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.659644
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.657035
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.659723
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.658238
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.656284

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05524
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02037
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.991646
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.962771
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.938572
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.916276
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.900229
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.882896
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.866101
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.854786
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.847857
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.842585
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.830903
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.824435
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.813681
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.804005
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.801159
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.794437
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.786945
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.779429
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.768647
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.761442
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.757612
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.758173
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.758172
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.75257
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.745486
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.743011
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.740478
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.738741
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.740333
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.739443
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.736396
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.732399
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.731423
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.730774
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.727547
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.728353
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.727685
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.729934
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.728346
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.729636
Stopping. Best iteration:
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.727547

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06405
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02797
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.99926
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976212
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954598
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.933591
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.911607
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895571
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.876654
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.866536
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.854291
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.843
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.831282
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.82469
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.816649
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.809518
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.80547
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.797791
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.790352
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.787924
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.781707
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.773631
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.765461
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.75531
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.750269
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.748389
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.740681
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.738082
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.731211
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.726345
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.725052
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.719568
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.711585
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.711021
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.704352
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.702316
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.702397
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.697947
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.696946
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.696289
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.690331
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.689757
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.685752
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.687495
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.687166
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.686003
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.684146
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.682447
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.683486
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.683896
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.683004
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.68326
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.680822
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.680583
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.682785
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.681685
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.675777
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.676246
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.675896
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.674733
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.675971
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.677512
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.680727
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.681967
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.681692
Stopping. Best iteration:
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.674733

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06376
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03201
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00118
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971155
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.948816
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.926938
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.906387
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.889292
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87342
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.86195
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.84991
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.837434
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.825099
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813077
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.803632
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.792411
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.784725
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.779658
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.771629
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.762989
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754807
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.749201
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.748092
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.74618
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.743335
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.735731
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.732361
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.728772
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.725916
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.72047
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.718481
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.71569
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.715735
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.711574
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.710679
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.709742
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.709292
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.705066
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.70474
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.704544
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.704479
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.70592
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.702454
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.703317
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.702638
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.702148
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.699501
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.700511
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.697857
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.695726
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.691852
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.694629
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.693595
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.692935
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.691269
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.690795
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.690704
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.688578
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.688653
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.69064
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.688521
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.687738
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.684653
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.684809
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.682651
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.683748
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.68211
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.683165
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.68232
[69]	validation_0-merror:0.3	validation_0-mlogloss:0.680709
[70]	validation_0-merror:0.3	validation_0-mlogloss:0.679275
[71]	validation_0-merror:0.3	validation_0-mlogloss:0.678757
[72]	validation_0-merror:0.3	validation_0-mlogloss:0.679093
[73]	validation_0-merror:0.3	validation_0-mlogloss:0.681408
[74]	validation_0-merror:0.3	validation_0-mlogloss:0.681722
[75]	validation_0-merror:0.3	validation_0-mlogloss:0.68187
[76]	validation_0-merror:0.266667	validation_0-mlogloss:0.680106
Stopping. Best iteration:
[71]	validation_0-merror:0.3	validation_0-mlogloss:0.678757

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05826
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03014
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.99829
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969273
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.945041
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.927552
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.910476
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.898388
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.885459
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.875614
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.865245
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.854567
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.841016
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.831373
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.821451
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.812326
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.803775
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.799408
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.79387
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.789327
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.781954
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.778444
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.770748
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.769151
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.764092
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.761433
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.759157
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.75667
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.754885
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751694
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.749319
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.746997
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.744405
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.744618
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.743433
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.741559
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.742555
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.738039
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.735632
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.733218
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.733252
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.733459
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.73395
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.735745
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.73684
Stopping. Best iteration:
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.733218

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03114
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997493
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971589
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.948869
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.926473
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905896
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897186
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.876178
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.867455
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.862827
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.85701
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.847907
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.839297
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.826326
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.817749
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.803161
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.794891
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.788027
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.778926
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.772487
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.762982
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.759601
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.75305
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.745517
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.740503
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.735307
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.732288
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.726912
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.720253
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.719754
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.714164
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.711252
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.707682
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.7052
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.700531
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.696272
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.694753
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.691393
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.688876
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.684875
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.680367
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.680377
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.680107
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.680429
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.676812
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.676237
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.67747
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.67732
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.677888
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.678082
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.677057
Stopping. Best iteration:
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.676237

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05848
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03262
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00557
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.973702
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954976
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.932828
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.915603
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.898774
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.881025
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.863335
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.851413
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.839477
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.828178
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.818582
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.808157
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.798559
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.789253
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.77789
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.772054
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.76698
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.760954
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.755432
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.750389
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.744009
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.734465
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.733799
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.729877
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.727622
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.720573
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.714658
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.711446
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.706072
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.7039
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.704517
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.702278
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.700931
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.698151
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.698172
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.698664
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.697015
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.694546
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.694118
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.693538
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.692789
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.694657
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.691017
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.693033
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.689225
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.687488
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.689798
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.686706
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.688646
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.686481
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.687264
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.688049
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.685453
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.687152
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.68608
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.687109
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.687408
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.686985
Stopping. Best iteration:
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.685453

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0575
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02225
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.98976
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.962656
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934871
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.915271
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.893942
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.873107
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855488
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.838387
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.823319
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.810922
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.799041
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.791182
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.788342
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.780544
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.775407
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.770021
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.768582
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.761831
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.759068
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.753577
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.753424
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.753017
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.752856
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.748513
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.745169
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.739772
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.735473
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.735312
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.736186
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.732902
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.732135
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.730786
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.733394
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.734354
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.73315
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.737729
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.735554
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.730786

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06634
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02809
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.99563
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.973685
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.950613
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.927364
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.905467
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.887548
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.871235
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.858823
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.840139
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.82898
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.817586
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.802238
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791968
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.788672
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.781106
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.773665
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.765263
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759898
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.756343
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.75018
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.750112
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.745494
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.745577
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.746101
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.744211
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.739159
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.738327
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.740909
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.737201
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.73401
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.729005
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.730434
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.72664
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.728922
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.728861
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.726834
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.7236
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.727139
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.72708
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.723521
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.723668
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.718807
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.7158
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.710858
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.713792
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.712879
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.711282
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.714065
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.709652
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.708896
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.704273
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.705884
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.714036
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.714065
[56]	validation_0-merror:0.333333	validation_0-mlogloss:0.713762
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.713709
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.704273

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05582
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02895
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00127
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.965521
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.943955
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921273
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.899859
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.882451
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867067
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852006
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.839394
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.825836
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.815939
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809792
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.795383
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781021
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.772485
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.76518
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759683
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.758893
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.7515
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.746268
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736339
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.729159
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.724967
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.718739
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.712602
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.711817
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.710605
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.708832
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.704942
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.700045
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.691419
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.689062
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.686854
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.682951
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.680737
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.6771
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.678127
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.67301
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.673074
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.669505
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.667806
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.668898
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.668089
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.66883
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.667587
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.662095
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.660207
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.658947
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.658593
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.658751
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.656848
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.660024
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.66016
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.657544
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.66063
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.659573
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.656848

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05846
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02394
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.996354
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967445
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.944089
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922056
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.90547
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.88792
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.870896
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.852236
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.844283
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.8379
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.826424
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.820545
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.810681
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.802726
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.798938
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.793157
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.786537
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.781946
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.771598
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769048
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.761976
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.7572
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.758451
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.751916
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.744877
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.743954
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.7399
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.739768
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.738991
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.737369
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.736258
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.733886
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.732719
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.731826
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.728224
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.729199
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.728467
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.731097
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.729128
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.730125
Stopping. Best iteration:
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.728224

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06375
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02956
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00085
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.97775
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.956649
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935587
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.913474
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.898758
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.879096
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.868878
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.856627
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.845175
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.834391
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.828499
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.820393
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.814187
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.807177
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.79878
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.790505
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.788095
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.78434
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.783352
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775629
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.765039
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.761674
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.755484
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.748029
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.74498
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.736768
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.733925
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.734127
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.731452
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.724789
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.725846
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.719153
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.718522
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.715883
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.711694
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.709851
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.709331
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.703598
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.70269
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.700309
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.703124
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.703303
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.698729
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.697438
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.695739
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.695534
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.698552
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.697743
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.696398
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.695451
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.69695
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.699644
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.694188
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.689145
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.688155
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.688407
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.689218
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.691557
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.693805
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.696332
Stopping. Best iteration:
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.688155

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.0627
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03085
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999969
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970718
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.949097
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.927243
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.906346
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.889457
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.873039
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.861454
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.849227
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.838132
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.826703
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.813281
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.804202
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.794257
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.785364
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.778586
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.772994
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766177
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759531
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.753947
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.750761
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748104
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.745229
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.738165
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.734719
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.732139
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.729217
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.724231
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.721639
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.721223
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.719691
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.719416
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.721431
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.719617
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.718301
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.71619
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.715957
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.71621
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.716289
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.715463
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.715259
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.715416
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.71032
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.708676
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.708033
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.705525
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.704825
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.702405
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.699739
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.701743
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.699077
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.699717
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.698934
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.698024
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.697606
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.697062
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.695118
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.697815
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.69703
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.69618
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.695987
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.69671
Stopping. Best iteration:
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.695118

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05715
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02739
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.994041
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965801
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.938375
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.918972
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.900039
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.886607
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.873876
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863635
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.85328
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.843123
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.831054
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.822182
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.815613
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.807352
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.800991
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.793982
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.787607
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783759
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.777269
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.775487
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.771345
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.768946
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.763392
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.760019
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.757581
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.758197
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.755542
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.753664
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.750827
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.751725
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747007
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.747882
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.746062
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.743531
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.740598
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.735992
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.733898
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.733644
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.73349
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.732618
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.733047
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.731658
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.733152
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.736459
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.735677
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.736
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.737189
Stopping. Best iteration:
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.731658

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0343
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00054
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.974659
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.951715
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.925813
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905415
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895721
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875479
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.865712
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.860665
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.854625
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.849245
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.841787
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.82861
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.819865
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.808384
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.797554
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.790161
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.78143
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.777795
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.769583
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.765128
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.757952
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.749297
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.741804
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.741598
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.738873
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.734999
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.730106
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.727272
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.725265
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.720115
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.714668
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.710496
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.705399
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.704337
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.702372
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.699545
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.695221
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.693601
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.691881
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.693306
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.691578
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.690558
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.687164
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.687329
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.685332
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.682599
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.680476
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.67937
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.678262
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.675228
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.673533
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.672703
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.670659
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.6708
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.670999
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.670149
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.672272
[60]	validation_0-merror:0.25	validation_0-mlogloss:0.675141
[61]	validation_0-merror:0.25	validation_0-mlogloss:0.674227
[62]	validation_0-merror:0.25	validation_0-mlogloss:0.676325
[63]	validation_0-merror:0.25	validation_0-mlogloss:0.67731
Stopping. Best iteration:
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.670149

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06121
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02165
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.993417
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.956161
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.937086
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.910003
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891883
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.873697
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.855557
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.838224
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826489
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.811916
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.798857
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.791587
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.77937
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.769545
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.757656
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.751571
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.744996
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.741436
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.732117
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.727132
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.714036
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.706239
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.697624
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.693208
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.688181
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.691552
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.68872
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.679957
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.673403
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.670962
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.668054
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.665296
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.67005
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.67443
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.674608
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.668821
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.667557
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.665296

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05781
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.985451
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959512
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.92417
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.902637
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.875355
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.857989
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.835242
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.819735
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.808154
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.797017
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.788048
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.777864
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.773818
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.764344
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.763091
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.755649
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.753618
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.756415
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.755772
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.756671
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.758973
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.756246
Stopping. Best iteration:
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.753618

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05254
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01381
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.975918
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.956551
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.927571
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.91283
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.895212
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.882153
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.866483
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.853795
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.837259
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.825813
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.810973
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.797728
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.784283
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786931
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.779013
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.777183
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.768081
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.762476
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.762679
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.763025
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.762601
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.755084
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.7574
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.760644
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.758738
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.758969
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.757595
Stopping. Best iteration:
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.755084

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.04541
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00994
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.978839
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.942614
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.921246
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.89222
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.869119
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.849286
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.830061
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.81162
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.799525
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.784699
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.773025
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.759957
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.751979
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.739769
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.72992
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.721534
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.718499
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.716458
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.709806
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.70564
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.698287
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.697043
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.693858
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.693843
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.688023
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.688515
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.686411
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.687377
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.681387
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.680215
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.676565
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.676184
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.678431
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.679672
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.678746
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.681894
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.681197
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.676184

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05428
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00838
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.976354
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.942897
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.916344
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.887389
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.867337
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.848347
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.82419
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.811029
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.803124
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.799737
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.791555
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.786045
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.777633
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.770467
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.76683
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.760269
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.75511
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.750466
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.744762
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.744937
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741169
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.741041
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74648
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.742512
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740444
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.740164
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.740795
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.739151
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.738818
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.743926
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.743013
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.739047
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.739183
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.738536
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.74175
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.743638
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.747853
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.756098
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.757919
Stopping. Best iteration:
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.738536

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05149
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0137
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.981471
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.962592
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.936281
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.916223
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.900423
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.888913
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.86569
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.854966
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.849211
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.83402
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.82162
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.810091
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797663
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.790782
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.788356
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.777688
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.771289
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.765409
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760772
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.761068
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754173
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.750666
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.746571
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.748117
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.748193
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.747585
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.744717
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.73914
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.737259
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.736261
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.734801
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.738081
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.733477
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.736832
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.731347
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.732082
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.732959
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.731014
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.725849
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.726523
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.726617
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.727333
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.731757
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.732525
Stopping. Best iteration:
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.725849

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04996
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.00773
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.973403
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.939204
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.910951
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.883595
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.860177
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.835148
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.817576
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.800751
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.787192
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.774599
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.760387
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.747585
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.738294
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.729442
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.723219
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.72004
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.715557
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.712057
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.70726
[21]	validation_0-merror:0.233333	validation_0-mlogloss:0.702339
[22]	validation_0-merror:0.233333	validation_0-mlogloss:0.700844
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.696905
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.693301
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.686913
[26]	validation_0-merror:0.233333	validation_0-mlogloss:0.68438
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.680043
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.680473
[29]	validation_0-merror:0.233333	validation_0-mlogloss:0.674696
[30]	validation_0-merror:0.233333	validation_0-mlogloss:0.671838
[31]	validation_0-merror:0.233333	validation_0-mlogloss:0.669771
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.666052
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.668132
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.666542
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.664105
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.663995
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.666083
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.66534
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.663941
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.662907
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.661919
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.66131
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.662139
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.662093
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.661214
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.66016
[47]	validation_0-merror:0.25	validation_0-mlogloss:0.660887
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.665191
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.666021
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.664707
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.665722
Stopping. Best iteration:
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.66016

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05323
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02018
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.982807
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.955643
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.925013
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.902672
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.88525
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.866076
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.850976
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.840406
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.830893
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.818338
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.808817
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.801209
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.795784
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.788656
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.780581
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.77318
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.77374
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.773524
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.774678
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.775466
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.777342
Stopping. Best iteration:
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.77318

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05901
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0161
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.978504
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.951832
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.917458
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.89284
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870231
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.855641
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.840487
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83114
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.823787
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824679
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.817939
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.810937
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.804346
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.796471
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.790639
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.782676
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.782688
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.782531
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.784384
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.78323
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.788584
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.786573
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.779797
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.778532
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.781035
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.784582
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.784415
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.778774
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.781907
Stopping. Best iteration:
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.778532

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05378
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01143
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.982976
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.948441
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.927211
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.902152
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.88542
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.864718
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.84573
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.830405
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.822899
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.809435
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.799301
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.792851
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.780649
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.770574
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.763787
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.753928
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.751723
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.748846
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.737219
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.733319
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.723031
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.713616
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.705953
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.701305
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.694034
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.697949
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.698568
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.690692
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.686719
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.68415
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.678068
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.676127
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.67824
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.679489
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.678371
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.675476
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.677123
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.676247
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.678744
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.677796
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.673062
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.668842
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.669704
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.670443
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.672021
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.667397
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.667321
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.673756
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.673114
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.676063
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.674729
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.678392
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.667321

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05809
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02456
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.988974
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.960667
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.926341
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.902771
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.879283
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.8613
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.840471
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.822135
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.808999
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.797092
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.785736
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.777427
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.776605
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.765621
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.764788
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.758532
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.759016
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.7583
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.761026
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.760885
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.761824
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.76305
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.763084
Stopping. Best iteration:
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.7583

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05593
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01785
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.980795
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.965072
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.923153
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.903477
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.890264
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.868882
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.85635
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.840736
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.831093
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.814161
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.797792
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.78856
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.789111
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.780508
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773058
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.765622
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.760216
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.759179
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.75895
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.753075
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.750253
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.74722
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.751151
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.7521
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.748215
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.745071
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.742045
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.737191
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.735137
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.732222
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.734918
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.736912
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.743036
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.735654
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.732526
Stopping. Best iteration:
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.732222

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04841
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01344
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.983956
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.947562
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.928288
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.906531
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.889455
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868941
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.848355
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.833688
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.819232
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.806335
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.79422
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.785002
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.776926
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.765488
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.754536
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.7454
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.74292
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.742736
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.736347
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.731158
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.725233
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.721614
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.71599
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.710561
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.704895
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.705666
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.706339
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.70296
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.695537
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.692972
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.688717
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.685762
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.687358
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.686662
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.686002
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.689393
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.688932
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.685762

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04825
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00493
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.975453
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.940012
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.912686
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.887645
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.872604
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.85459
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.836135
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.822269
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814386
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.807182
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.796675
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.791352
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.787084
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.780147
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.777009
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.77294
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.769694
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.763299
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.755525
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.757102
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.752197
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.753299
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.75729
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.755046
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.75023
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.744936
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.742752
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.740892
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.7447
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.750893
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.749479
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.749962
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.74986
Stopping. Best iteration:
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.740892

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05588
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01327
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.98084
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.964828
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.936533
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.912132
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.891732
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.878102
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.857677
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.848553
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.840836
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.826515
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.81281
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.80504
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.7934
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.786553
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.781142
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.770352
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.772873
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.765645
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.760628
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.759968
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.755691
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.753068
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.746335
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.744093
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740339
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.740565
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.732264
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.728058
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.727359
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.728851
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.728633
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.731359
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.726765
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.732313
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.728979
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.72931
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.72884
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.72932
Stopping. Best iteration:
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.726765

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05395
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01661
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.977206
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.948087
[4]	validation_0-merror:0.266667	validation_0-mlogloss:0.918532
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.894161
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.873399
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.853799
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.836296
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.821617
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.809271
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.790188
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.777292
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.765149
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.758238
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.745763
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.73626
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.726759
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.723042
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.718465
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.712613
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.706996
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.705167
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.704166
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.700349
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.694488
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.692916
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.69204
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.690492
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.686745
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.683447
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.683739
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.68212
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.683089
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.680743
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.680585
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.68134
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.681741
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.682355
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.68048
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.680122
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.680377
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.678677
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.678491
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.680939
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.68126
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.679818
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.684483
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.685261
Stopping. Best iteration:
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.678491

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05049
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02067
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.983257
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.95594
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.925174
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.90391
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.884892
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.867467
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.850998
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.840723
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.830128
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815294
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.803879
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.791865
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.784804
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.776916
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.768551
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.761614
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.761851
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.760756
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.76058
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.758453
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.759641
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.755048
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.756332
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.758675
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.76204
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.760605
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.762562
Stopping. Best iteration:
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.755048

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01763
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.982436
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.953731
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.918906
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.892372
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.871206
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863361
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.847674
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.838514
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.831902
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.822515
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.815671
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.810419
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800259
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.794594
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.783729
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.776333
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.773026
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.768081
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.767371
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.760976
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.761975
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.756319
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.751638
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.747948
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.749761
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.751252
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.75042
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.751286
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.752849
Stopping. Best iteration:
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.747948

[0]	validation_0-merror:0.566667	validation_0-mlogloss:1.06343
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02398
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.995157
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.963968
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.94042
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.913735
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.89682
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.876178
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.858451
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.841942
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.83257
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.820082
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80836
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.803216
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792174
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.783218
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.774567
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.762873
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.761552
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.759547
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.749495
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.746011
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.743002
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.73288
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.727405
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.726865
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.722436
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.723314
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.722838
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.719495
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.715566
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.711461
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.710633
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.709563
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.70934
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.710918
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.711062
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.707894
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.706773
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.703644
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.706289
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.705281
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.701184
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.700492
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.702272
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.704413
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.705102
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.705871
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.709088
Stopping. Best iteration:
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.700492

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02349
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.985696
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959246
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.92771
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.904932
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.879538
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.858945
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.83964
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.822909
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.807002
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.796829
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.78905
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.781419
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.777683
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.767642
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.764862
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.756765
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.757638
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.755275
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.751204
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.751972
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.75172
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.753141
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.753076
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.752526
Stopping. Best iteration:
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.751204

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06156
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01881
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.983159
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.962989
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.937789
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914609
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.895529
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.880897
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.859485
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846224
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.827249
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.818967
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.805123
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.791719
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.779048
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.779682
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.770672
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.760532
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.752185
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.744602
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.73678
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.735337
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731882
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.725482
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.723445
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.722123
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.72226
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.71757
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.712757
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.709365
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.706076
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703009
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.699052
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.702828
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.702673
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.708987
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.708682
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.704382
Stopping. Best iteration:
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.699052

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04961
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01389
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987171
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.951725
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.929329
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.90984
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.892328
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.870756
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853407
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.839001
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.827316
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.813276
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.802861
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79351
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.782189
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.771868
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.761218
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.75312
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.749796
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.750591
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.743788
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.738058
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.731992
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.729096
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.727394
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.723376
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.716955
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.719813
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.718635
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.717994
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.711111
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.705741
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.702669
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.699442
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.698327
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.69489
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.692182
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.693561
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.692146
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.690309
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.691769
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.691752
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.69027
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.690627
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.689106
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.689374
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.687569
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.684431
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.681877
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.683221
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.683231
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.685007
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.68257
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.68501
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.681877

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0505
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00746
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977507
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.947458
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.917953
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.895269
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.878814
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.86154
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.841325
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.824946
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.817148
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.810668
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.799072
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.792989
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.787224
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.77991
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.776227
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.771997
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.770029
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.766433
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.75996
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.760199
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.755907
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.756025
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.760257
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.759699
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.755912
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.756084
Stopping. Best iteration:
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.755907

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05745
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.013
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.984148
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.959097
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.937746
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.912005
[6]	validation_0-merror:0.25	validation_0-mlogloss:0.891805
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.876857
[8]	validation_0-merror:0.25	validation_0-mlogloss:0.853581
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.84294
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.833094
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.820976
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.807342
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.794413
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.786979
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.778977
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.77616
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.765394
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.766891
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.761102
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.75727
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.758476
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.754639
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.749281
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.742481
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.742761
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.735698
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.735206
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.731581
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.72875
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.728725
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.724741
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.722544
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.725195
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.7229
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.728678
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.727889
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.727668
Stopping. Best iteration:
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.722544

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05354
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01616
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980883
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.949197
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.919728
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.892842
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870603
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.851329
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.834354
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.823481
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.8096
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.792932
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.784002
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.774746
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.766366
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.755152
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.74775
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.741195
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.735632
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.732973
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.72568
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.720704
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.718714
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.713591
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.707516
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.703128
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.701092
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.699364
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.696933
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.691692
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.691739
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.692138
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.69048
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.689605
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.693329
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.694245
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.693803
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.693913
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.692873
Stopping. Best iteration:
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.689605

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0514
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01622
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.978313
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.950217
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.922562
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.899724
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.880567
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.862751
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.850335
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.836378
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.822975
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.810414
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.80083
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.794636
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789783
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781874
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.778129
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.774277
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.773982
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.772986
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.768223
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.767668
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.770355
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.768703
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.768034
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.768342
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.769553
Stopping. Best iteration:
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.767668

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06265
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02495
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.98798
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965671
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.936223
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.911944
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.887968
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.868363
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.849697
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.84365
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.830622
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.816991
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.805833
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.801222
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789054
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.784159
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.774814
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.765445
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.76037
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.760582
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.756966
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.755747
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.751798
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.744644
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.739506
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.737668
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.734475
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.737306
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.736425
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.739064
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.741044
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.739325
Stopping. Best iteration:
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.734475

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06392
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0368
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00548
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.973927
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950249
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.923965
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.905557
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.887641
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.87173
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.855197
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.84596
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.831835
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.820032
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.807735
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.794724
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.786754
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.777194
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767273
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.764358
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.761758
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.751719
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.744475
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.739571
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.734631
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.728653
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.730627
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.728616
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.726805
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.727045
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722581
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.720641
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.71636
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.715969
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.716141
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.718181
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.722704
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.722784
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.720599
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.715969

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0614
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0251
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987037
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.961931
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.929745
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908307
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.886888
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.867916
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848075
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.829127
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.812476
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.803658
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.795693
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.787414
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.78096
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.774007
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.769861
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.7605
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.760498
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.755659
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.750658
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.74593
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.747098
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.74864
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.753633
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.751005
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.748194
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.74593

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02467
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.989141
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.967017
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940669
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.919546
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.901408
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.886191
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867553
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.858758
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.841054
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.830651
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.818392
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.80331
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792524
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.792918
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.785242
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.77598
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.773524
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.768594
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.763068
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.758431
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.75647
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.752259
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.750336
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.752468
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.754231
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.753599
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.752844
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.747416
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.74678
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.74056
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.73816
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.741405
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.74349
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.742384
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.74084
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.737849
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.73805
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.738272
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.738518
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.735391
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.735644
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.733021
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.731824
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.726555
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.728313
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.726998
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.727532
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.731358
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.728655
Stopping. Best iteration:
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.726555

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05143
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01606
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992591
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.959195
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938152
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.91191
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.89108
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.87433
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.861003
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.843205
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.828654
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.815362
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.806668
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.798276
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.78734
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.77751
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.770508
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.762998
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.760618
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.763315
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.755406
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.75027
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745601
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.74099
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.736612
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.730374
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.724318
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.726561
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.727853
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.723912
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.719093
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.715526
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.710969
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.707768
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.705193
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.700629
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.698201
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.697263
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.697852
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.691281
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.692492
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.688234
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.690229
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.689001
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.688853
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.689942
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.691225
Stopping. Best iteration:
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.688234

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05654
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.0131
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.983243
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.950658
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.921263
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.892403
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.876842
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.854907
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.836534
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.820676
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.811671
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.806481
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.7961
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.78908
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.782145
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.775365
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.770455
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.765578
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.762968
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.757192
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.747884
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749421
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.745867
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.748198
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.74868
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.746686
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.744688
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.740665
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.740632
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.739298
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.741621
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.740622
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.741831
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.741066
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.739973
Stopping. Best iteration:
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.739298

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06086
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.266667	validation_0-mlogloss:1.0167
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985944
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.958766
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.939165
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.911616
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.89137
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.877321
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.857734
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.845523
[10]	validation_0-merror:0.25	validation_0-mlogloss:0.830423
[11]	validation_0-merror:0.25	validation_0-mlogloss:0.82021
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.807873
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.798021
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.788192
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.781645
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.777572
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.770804
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.770783
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.762948
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.754222
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.753406
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.748619
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.74169
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.741385
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.741294
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.732824
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.730514
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.724869
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.726701
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.728186
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.722388
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.72029
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.723842
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.719445
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.724012
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.721445
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.71989
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.719643
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.722632
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.719445

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06038
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02274
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.988179
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957599
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.932644
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.909039
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.89017
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873389
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.856125
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.849256
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.837282
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.820391
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.810362
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.802016
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.792678
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.785147
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.774408
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.76752
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.760773
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.752625
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.748808
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.744486
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.743445
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.739889
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.734345
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.729998
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.728119
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.726216
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.724463
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.720689
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.720092
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.722223
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.722055
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.720544
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.721128
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.722955
Stopping. Best iteration:
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.720092

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05037
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01727
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.979902
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.954542
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.927813
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.907978
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.892261
[7]	validation_0-merror:0.433333	validation_0-mlogloss:0.875274
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.862227
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.851386
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.837455
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.820597
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.811017
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.804129
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.797314
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.794872
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.787604
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.785624
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.785381
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.782767
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.781087
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.778694
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.775802
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.775258
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.77261
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.772814
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.774186
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.773681
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.776545
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.776799
Stopping. Best iteration:
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.77261

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06045
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02274
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.986871
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.960683
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.929376
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.910164
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.888541
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873863
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.855026
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.84839
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.837138
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.828394
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.821205
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.819117
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.806401
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.807541
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.799853
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.788577
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.783592
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.780637
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.780943
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.775816
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.767475
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.759739
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.755267
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.751487
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.748521
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.744535
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.741538
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.739764
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.74088
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.740099
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.741276
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.739347
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.738251
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.737111
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.736074
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.734262
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.732088
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.732372
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.730089
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.73086
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.731974
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.735452
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.738713
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.744774
Stopping. Best iteration:
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.730089

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05968
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03532
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00476
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971539
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.95084
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.930963
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.91303
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.89606
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.876327
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.854135
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.844346
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.831867
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.81982
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.806837
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.796838
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.789606
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.77856
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.769467
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.765651
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.764046
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.754679
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.74964
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745493
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.739833
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.731862
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.731878
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.729627
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.729404
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.725916
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.721359
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.719266
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.716008
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.713443
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.713654
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.716169
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.71835
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.717323
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.715822
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.713443

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06076
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02678
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989515
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.961843
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.930977
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.911557
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.889419
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.868659
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.84917
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.830585
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.815214
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.806112
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.797435
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.789606
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.787568
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.780256
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.776626
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.766834
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.765791
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.760361
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.756648
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.754395
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.755786
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.756712
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.758118
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.756452
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.75477
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.754395

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06357
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02557
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.99025
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.971313
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.949898
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.927175
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904272
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887546
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867542
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.852436
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.833316
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823463
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.813013
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.799947
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789544
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788633
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780728
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771398
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.764577
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759418
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.756962
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.749637
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.74991
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.742243
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.740812
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.743756
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.742849
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.73952
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.734422
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.729958
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.725727
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.723738
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.721312
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.7224
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.720272
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.724043
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.725137
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.723957
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.722784
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.7245
Stopping. Best iteration:
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.720272

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05134
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02194
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.99436
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.959148
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.934861
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.911687
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.896151
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.878314
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.862341
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.845608
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.834845
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.819513
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810151
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.803804
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79256
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.782968
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.775516
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767107
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.76409
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76399
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.757622
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.751893
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741943
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.740128
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.736035
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.731637
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.727414
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.727904
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.729842
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.727468
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.724126
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.719303
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.714262
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.712747
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.711265
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.706417
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.706636
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.704027
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.705948
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.705117
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.705887
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.701075
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.700971
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.700118
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.699886
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.700789
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.701592
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.699072
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.697797
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.697199
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.697393
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.699571
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.69859
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.700653
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.696268
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.695458
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.695834
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.696527
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.699636
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.698721
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.698469
Stopping. Best iteration:
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.695458

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.06022
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01781
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.987284
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.955706
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.92751
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907107
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.89154
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.869259
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851346
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.834311
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.822077
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.81516
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.804328
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.797562
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.792794
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.788555
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.783924
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.779642
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.774076
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.768269
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.759147
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.755449
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.753612
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.752438
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.752313
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.748792
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.744605
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.743242
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.743333
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.744638
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.745971
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.744388
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.744088
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.743242

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05943
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02208
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.995204
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.971245
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.950224
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.930089
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.909324
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.896002
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.875568
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.863603
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849983
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.839726
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.828086
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.818684
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.809477
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.80209
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.796074
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.786952
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.780795
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.77571
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.767365
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.766261
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.758923
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.750041
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.750308
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.752968
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.74871
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.745663
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.740648
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.743205
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.743785
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.737459
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.735414
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.736989
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.732052
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.736279
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.732707
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.731025
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.730647
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.730927
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.727135
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.725011
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.723144
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.722954
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.728397
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.726668
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.726929
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.726436
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.727986
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.722954

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05772
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02265
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.988644
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.958451
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932864
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.910193
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.891784
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873235
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.85509
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.841423
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.830749
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.812068
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.79856
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.786446
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.778208
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.77027
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.763942
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.756846
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.749873
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.741724
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.735123
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.729553
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.721879
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.717382
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.714574
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.708179
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.708207
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.706343
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.705059
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.703362
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703719
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.701808
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.699397
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.697134
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.697551
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.69675
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.695642
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.694727
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.69548
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.694479
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.694035
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.694508
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.692728
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.693772
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.694742
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.697574
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.697105
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.695825
Stopping. Best iteration:
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.692728

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05342
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01709
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978872
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.952174
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.924761
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.901327
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.883023
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.864532
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851712
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.843827
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828166
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.813897
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.806626
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.801206
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.79334
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.784856
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.782142
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.779372
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.777596
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773236
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772311
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.769368
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.768456
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.76565
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.762452
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.761175
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.761757
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.763212
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.758511
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.758153
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.762942
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.76295
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.765658
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.763379
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.763087
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.758153

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06238
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02503
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989557
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.957132
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.927685
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.906466
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.883887
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.86847
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.849172
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.839993
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.831722
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.82313
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.813726
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.809643
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.796744
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.790102
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.781333
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.774066
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.772585
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.764144
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.762623
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.757666
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.753401
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.748694
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.743232
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.738933
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.737482
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.738897
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.735241
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.732243
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.733424
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.731859
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.728662
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.724049
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.727061
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.72828
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.726577
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.723716
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.721772
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.718362
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.716786
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.715313
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.716186
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.716825
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.715047
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.71789
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.718672
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.718683
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.719382
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.719689
Stopping. Best iteration:
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.715047

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06239
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.02279
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.992194
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.95676
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934444
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.907216
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.88659
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868107
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.850227
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.833314
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.824224
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.813241
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.802116
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.795606
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.785861
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.77688
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.765894
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.761003
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759606
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.75756
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.746972
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741124
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.733226
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72342
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.71771
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.713369
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70883
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71391
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.712829
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.703068
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.697002
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.69445
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.691611
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.687531
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.691783
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.695189
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.695333
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.691974
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.689378
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.687531

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05823
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02455
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.992201
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.966363
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.934267
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.912301
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886819
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.872936
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.85152
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83451
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.825009
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.8141
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.806558
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.797331
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.790887
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.779888
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.776622
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.770392
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.773357
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.77451
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.774863
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.774588
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.778718
Stopping. Best iteration:
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.770392

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05482
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01434
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.977795
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.953922
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.922478
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.907065
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.886442
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.87492
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.856327
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.842002
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.829645
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.822247
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80852
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798957
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789721
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.791646
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.782488
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.780889
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.776201
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.773673
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.781131
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.783178
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.783315
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.778123
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.779406
Stopping. Best iteration:
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.773673

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04245
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00456
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.974536
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.937539
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.915891
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.886493
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.86371
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.842206
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.82325
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.809568
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.798784
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.787701
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.776205
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.76327
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.756473
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.746501
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.739179
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.732626
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.7295
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.726775
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.721173
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.717657
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.71289
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.708373
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.702285
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.701927
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.695658
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.699157
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.698974
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.699957
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.695094
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.69161
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.688064
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.687482
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.68625
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.687174
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.686177
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.688926
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.689351
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.687195
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.696348
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.696485
Stopping. Best iteration:
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.686177

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05512
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00759
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.976135
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.941096
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.910088
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.879633
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.859184
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.841471
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.819724
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.807629
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.80034
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.794428
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.787948
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.783098
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.776184
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.770389
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.768807
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771521
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.764763
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759303
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.754614
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.752218
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.750373
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.751899
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.756477
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.757279
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.756871
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.75846
Stopping. Best iteration:
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.750373

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05001
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0111
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.985446
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.963532
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.934425
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.923478
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.912149
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.90136
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.882975
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.872851
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.864935
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.852762
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.837664
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.828355
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.817376
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.816361
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.814234
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.807256
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.80324
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.79636
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.795903
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.798004
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.796147
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.796003
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.794126
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.797419
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.797102
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.800307
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.798236
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.792796
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.791254
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.796623
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.793949
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.798826
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.796059
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.804693
Stopping. Best iteration:
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.791254

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04955
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00948
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.972078
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.938342
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.908527
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.881445
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.859558
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.840042
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.825905
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.81456
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.803245
[11]	validation_0-merror:0.25	validation_0-mlogloss:0.786705
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.772018
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.756715
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.750972
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.740841
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.73142
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.724962
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.719134
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.715384
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.710558
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.705883
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.706319
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.70432
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.704633
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.701545
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.703969
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.703388
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.704068
[29]	validation_0-merror:0.233333	validation_0-mlogloss:0.701107
[30]	validation_0-merror:0.233333	validation_0-mlogloss:0.699322
[31]	validation_0-merror:0.233333	validation_0-mlogloss:0.702108
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.70161
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.703612
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.701983
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.701104
Stopping. Best iteration:
[30]	validation_0-merror:0.233333	validation_0-mlogloss:0.699322

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05618
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02322
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.98628
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.95696
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.925966
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.901155
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.883297
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.863831
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.848352
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.843076
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.836115
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.828411
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.821164
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.816432
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.81211
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.807665
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.79931
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.792135
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.787236
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.783023
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.778018
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.780593
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.783604
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.784261
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.783013
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.788018
Stopping. Best iteration:
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.778018

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06218
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01962
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.981832
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.957479
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.932006
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904484
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.880067
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.867566
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.855705
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.846235
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.838251
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.834421
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.828164
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.826
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.820518
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.819344
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.812708
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.80616
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.808298
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.809575
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.810545
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.808788
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.809952
Stopping. Best iteration:
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.80616

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05367
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01346
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.983075
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.949022
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.927775
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.903427
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.886371
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863193
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.84479
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.831083
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.822913
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.811129
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.801549
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.790696
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.778328
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.768915
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.761605
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.752677
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.750722
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.749572
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.739464
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.732833
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.725594
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.717827
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.710464
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.706249
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.699343
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.702342
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.702549
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.697662
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.693576
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.689854
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.685709
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.684908
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.686725
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.685058
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.683509
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.677813
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.680437
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.680027
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.682192
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.679938
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.674456
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.673308
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.674152
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.67752
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.67844
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.673531
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.675673
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.673308

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05809
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02456
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.991414
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.965403
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932965
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.909405
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.888195
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.873523
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.854342
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.837567
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.823133
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.813329
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.800441
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.792641
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.790033
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.781085
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.778949
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.77529
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.775056
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.773021
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.77188
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769668
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.77386
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.773237
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.772294
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.770185
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.771507
Stopping. Best iteration:
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769668

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.0537
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.25	validation_0-mlogloss:1.01026
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.974695
[3]	validation_0-merror:0.25	validation_0-mlogloss:0.959216
[4]	validation_0-merror:0.25	validation_0-mlogloss:0.93109
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914095
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.894365
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.88063
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.856354
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846983
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.834111
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.825508
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.817378
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.804505
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.793976
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.795158
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.785057
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.776331
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.768515
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.763573
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.763139
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.762534
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.761611
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.75484
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.749716
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.75395
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.752648
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.752275
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.748648
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.747215
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.744485
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.745724
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.742219
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.746134
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.747371
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.753373
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.750098
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.744118
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.742219

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04626
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00965
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.978258
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.943194
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.923069
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.896665
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.878405
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.856674
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.838256
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.821607
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.807445
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.796811
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.785782
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.776316
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.76763
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.758875
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.748853
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.740693
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.737924
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.739509
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.734125
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.730668
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.723014
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.719237
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.716067
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.711946
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70677
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.709312
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.70941
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.708394
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.700423
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.696534
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.692271
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.68966
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.689955
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.688654
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.690354
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.687048
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.689061
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.689042
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.691023
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.688707
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.688627
Stopping. Best iteration:
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.687048

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05036
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00861
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.981556
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.948974
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.918113
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.894039
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.8756
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.857336
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.83753
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.822303
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.813825
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.806927
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.799327
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.792192
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.787719
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.78111
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.779352
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.777417
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.773367
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.766202
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.759835
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.757048
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.753935
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.757287
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.761583
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.7606
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755299
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.753038
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.754025
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751404
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.754087
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.760372
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.75865
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.763065
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.763233
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751404

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05486
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01213
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.982877
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.960772
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.927305
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.907323
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.894082
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.880155
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.862472
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.854354
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.847455
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.833641
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.822767
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.812598
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.800854
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.800357
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.79621
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.787815
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.789474
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.782651
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.782788
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.785779
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.782834
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.779912
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.777011
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.775873
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.774697
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.776905
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.771955
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.771311
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.77252
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.775479
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.773488
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.776802
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.77498
Stopping. Best iteration:
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.771311

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05291
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01366
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.975988
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.945134
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.917388
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.894463
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.87302
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.857622
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.842737
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.831597
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.817505
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.801634
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.788779
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.777532
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.766973
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.755027
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.749877
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.743795
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.741879
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.739127
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.733461
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.724592
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.727607
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.726295
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.722049
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.722265
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.718323
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.717752
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.716638
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.713733
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.711381
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.710865
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.708638
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.708699
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.707737
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.708999
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.712192
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.714432
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.712792
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.712171
Stopping. Best iteration:
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.707737

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05428
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02182
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.983681
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.958473
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.926658
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.90477
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.883972
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.865243
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.848551
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.840711
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.828622
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.815894
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80533
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.796445
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788824
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781388
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779717
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.776839
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.777558
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.776779
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.776195
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.774422
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.7741
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.772276
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.774885
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.776241
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.778292
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.782552
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.784437
Stopping. Best iteration:
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.772276

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05653
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02227
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.984372
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.95596
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.925868
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.901649
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.881171
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.867041
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853006
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845571
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.840381
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.830133
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.818077
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.812889
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.802344
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.7982
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.787117
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.782268
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.781497
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.778736
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.779476
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.776777
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.772682
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.771594
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.765906
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.766131
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.766624
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.769116
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.769479
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.770555
Stopping. Best iteration:
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.765906

[0]	validation_0-merror:0.55	validation_0-mlogloss:1.06288
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02231
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989599
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.958748
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.935644
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.909891
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.892491
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.872527
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.857152
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.84352
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.83468
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824293
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.812571
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.808173
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.801042
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.791322
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780945
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.773379
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.771881
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.767875
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.758225
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.754124
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.748063
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.735893
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.729602
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.728423
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.72562
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.728665
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.729505
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.723228
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.719655
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.715437
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.713695
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.712835
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.71249
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.714972
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.716444
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.713664
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.71425
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.71019
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.712648
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.711361
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.707346
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.702726
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.703702
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.699674
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.704642
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.703336
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.705586
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.708188
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.704029
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.699674

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02349
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.986742
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962372
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.932139
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.908995
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.885058
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.867274
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848886
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.830535
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.813911
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.805508
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.800339
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.791748
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.787584
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.780868
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.777455
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.773549
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.775728
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773181
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.768939
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.762748
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.762884
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.764102
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.764113
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.762186
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.762056
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.758037
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.759423
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.761792
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.76204
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.764394
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.761027
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.758037

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.0608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01812
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.983716
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.964582
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.939545
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.916487
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.897508
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.882913
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.863207
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.855627
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.837226
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.829208
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.813806
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.800393
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.787096
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.789461
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.779305
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769072
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.763466
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.755708
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.746237
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745719
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.742368
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.734509
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.73209
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.733685
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.73394
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.730209
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.726281
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.723525
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.720714
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.71657
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.712669
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.716416
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.713938
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.720655
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.720693
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.717312
Stopping. Best iteration:
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.712669

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04762
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01048
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.983204
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.945745
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.926468
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.902526
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.885302
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.863899
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.844777
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.831084
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.819456
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.807757
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.797475
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.789228
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.78062
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.771792
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.760359
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.752415
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.749588
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.748755
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.74164
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.738749
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.731845
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.727347
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.722925
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.721754
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.716781
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.719587
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.71765
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.717321
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.711098
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.705518
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.702086
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.699813
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.698727
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.694218
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.692448
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.690799
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.6925
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.691652
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.692837
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.692696
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.693161
Stopping. Best iteration:
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.690799

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04936
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00616
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.977822
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.948258
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.917054
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.891046
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.875129
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.856669
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.835939
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.819881
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.811972
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.805939
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.794402
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.789811
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.78526
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.780156
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.77949
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.779608
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.776678
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.771637
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.761322
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.761064
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.759384
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.7594
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.760352
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.761464
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.761883
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.756721
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.753371
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751978
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.75389
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.759665
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.75786
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.759463
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.759886
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751978

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05668
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01232
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.984945
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.96007
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938558
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.914111
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.89628
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.88259
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.860827
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.851057
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.842699
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.83373
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.819684
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.809382
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.798957
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797776
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.794317
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.78732
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.788051
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.784196
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.780379
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.78083
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775492
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.771713
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.765781
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.765947
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.766022
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.763879
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.759699
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.757059
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.759086
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.756787
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.754861
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.756894
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.753134
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.759489
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.75875
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.758664
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.757709
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.759334
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.753134

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05208
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01462
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976865
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.944249
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.91787
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.890971
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.868298
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.849792
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.832987
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.822244
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.812393
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.796054
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.784809
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.77118
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.761124
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.755378
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.746621
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.741897
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.734011
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.727659
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.720016
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.716809
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.718075
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.712866
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.708966
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.703303
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.699872
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.69718
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.694126
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.688972
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.688998
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.687507
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.685116
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.684748
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.684688
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.684606
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.683102
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.684285
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.687303
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.687467
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.688709
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.692514
Stopping. Best iteration:
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.683102

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05451
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02035
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.981551
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.95558
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.92907
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.904864
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.885443
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.866596
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.854469
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.842306
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828728
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814479
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.802527
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.794781
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.792053
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.782216
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779355
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.775933
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.774155
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.769881
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.763844
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.762333
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.760803
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.762021
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.763286
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.764982
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.76629
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.767934
Stopping. Best iteration:
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.760803

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06407
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02871
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.993858
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967238
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.942279
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.916403
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894376
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.874078
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.8531
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.849246
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834614
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.821634
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808041
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798679
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.784257
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.780195
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.773547
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.768337
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.766618
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.762968
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.762422
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.758031
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.757299
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.752955
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.750319
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.747876
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.7468
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.747232
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.745129
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.747015
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.748975
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.748783
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.75119
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.746205
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.745129

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06392
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0368
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00304
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971498
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.949281
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.923215
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.905275
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.887654
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.872411
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.85279
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.843008
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.831078
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.81991
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.812079
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.800491
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.790849
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.781497
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.771629
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.769195
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.766104
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.757588
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.751672
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.74687
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.744046
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.737095
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.739686
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.736469
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.735389
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.736328
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.729756
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.728809
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.726223
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.725679
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.722458
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.724139
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.728755
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.729736
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.727664
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.724928
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.722458

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0614
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0251
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987037
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.962918
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.927735
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.906595
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885309
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.866029
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.847532
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.828427
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.811891
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.800707
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.79348
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.78515
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.778586
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.771843
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.767669
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.760426
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.761106
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.756546
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.751644
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.746119
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.747674
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.750263
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.753888
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.751859
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.748736
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.746119

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02467
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.989141
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.967017
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940669
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.920902
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.902784
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887806
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.870961
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.858431
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.842133
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.832306
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.814169
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.799288
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788728
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.789697
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.781899
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772429
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.766859
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.761355
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.755934
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.751063
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.749103
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.743209
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.741437
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.741967
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.743641
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739624
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.740873
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.735673
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.733066
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.726842
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.724676
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.727922
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.729645
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.732093
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.731232
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.728367
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.724676

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04991
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01354
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.987956
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.951648
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.928901
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.902918
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.881911
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.866461
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.855331
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.839236
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.829027
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.817619
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.805797
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.79681
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788976
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.78106
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775919
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767057
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.765217
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.761806
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.755433
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.750761
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.743072
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.73909
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.735774
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.732557
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.725567
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.727726
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.730459
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.727182
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.721811
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.717686
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714785
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.711726
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.710188
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.706814
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.70469
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.702554
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.704387
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.695474
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.696613
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.693056
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.692082
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.692824
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.692532
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.693285
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.695843
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.694577
Stopping. Best iteration:
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.692082

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05593
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01231
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.983061
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.950594
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.919652
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.895822
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.880299
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.858865
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.84043
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.826015
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.817638
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.813227
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.802329
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.797933
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.793736
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.783223
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.781298
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.7791
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.777408
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.771343
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.760177
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.76024
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.758977
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.757309
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.756677
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.757381
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.753962
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.750629
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.750666
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.753874
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.753314
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.751974
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.752773
Stopping. Best iteration:
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.750629

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06034
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.266667	validation_0-mlogloss:1.01623
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.986374
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.959195
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938242
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.913545
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.895071
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.881944
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.860729
[9]	validation_0-merror:0.25	validation_0-mlogloss:0.84847
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.834108
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.824175
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.812008
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.802619
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.791884
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.786529
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.782962
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.77653
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.776195
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.772549
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.764813
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.765893
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.763094
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.756858
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.755867
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.756396
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.749368
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.747008
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.742077
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.735939
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.738093
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.733935
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.732152
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.734759
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.728946
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.733462
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.732298
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.731324
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.731227
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.734612
Stopping. Best iteration:
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.728946

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.05835
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01967
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.9857
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.953593
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.927771
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.902488
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882928
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864889
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.845839
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.834185
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.822572
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.80453
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.790152
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.777683
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.768416
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.761769
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.751999
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.745413
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.742354
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.735712
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.731895
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.728509
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.725531
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72202
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.717993
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.71297
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.709671
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.70881
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.707218
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.70606
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.704545
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706457
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.707419
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.707286
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.711001
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.711174
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.704545

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05229
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01646
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.979196
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.953481
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.929274
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.906697
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.886859
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.869989
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.858115
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.849547
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834723
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.821052
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.808864
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.804333
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.798983
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.794639
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.792338
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.788321
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.787569
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.786877
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.784114
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.782607
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.782825
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.781914
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.777657
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.778347
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.779612
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.781983
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.782149
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.784144
Stopping. Best iteration:
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.777657

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06045
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02357
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985948
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.960731
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.930624
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.911368
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891475
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.874981
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857169
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.851191
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.838368
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.829144
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.82117
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.815861
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.800211
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.799562
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.792135
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.784663
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.784808
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.785768
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.78075
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.778083
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.772094
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.763242
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.7588
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.753036
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.751607
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.751482
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.746576
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.746876
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.747156
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.747464
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.745327
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.743772
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.742757
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.740511
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.738335
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.738164
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.73913
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.740415
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.739809
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.739251
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.742224
Stopping. Best iteration:
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.738164

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05968
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03532
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00476
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.97214
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.951294
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.930824
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.912837
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.895973
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.876292
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.861137
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.851289
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.83894
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.826642
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.815488
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.805579
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.796668
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.785457
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.776253
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.772856
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.770574
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.761104
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.756077
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.75182
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.746007
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.739094
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.738154
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.735958
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.734327
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.73074
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.72637
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.724053
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.720699
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.717976
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.715231
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.715774
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.717919
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.71827
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.716519
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.716837
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.715231

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06076
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02678
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989515
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.962797
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.930788
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908573
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886504
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.865404
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.846035
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.829489
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.813354
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804337
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.796201
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.788353
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.786155
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.779003
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.775208
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.766212
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.765077
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.759769
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.75366
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.747773
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.748012
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.749018
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.750609
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.749109
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.7482
Stopping. Best iteration:
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.747773

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06357
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02557
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.99025
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.971313
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.949898
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.927175
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904272
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887546
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867542
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.852436
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.833316
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823463
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.812217
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.799058
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788694
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788239
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780322
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.770949
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.764345
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.759867
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.757361
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.750058
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.750305
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.742666
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.741275
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.744173
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.743248
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.739884
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.736839
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.73239
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.729256
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.727157
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.724757
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.727037
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.725081
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.7288
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.729813
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.728703
Stopping. Best iteration:
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.724757

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04985
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.01932
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.989697
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.954495
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.930503
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.905569
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.888485
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.872781
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.856553
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.839801
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.829886
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815729
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.803256
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.797265
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.786429
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.777001
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.769432
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.76047
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.758352
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.755861
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.750748
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.748519
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.73724
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.733828
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.729723
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.726267
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.723715
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.724684
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.72434
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.721839
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.719059
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.713629
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.70796
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.70654
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.705192
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.700687
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.697732
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.695642
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.697483
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.691576
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.692654
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.687891
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.688557
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.688117
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.688434
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.689319
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.690068
Stopping. Best iteration:
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.687891

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.06022
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01778
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.987977
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.956837
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928688
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908532
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.893118
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.87098
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.852168
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.835153
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.822551
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814907
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.803313
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79921
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.79596
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787746
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.78443
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.781175
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.776899
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.772453
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.762912
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.75934
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.752829
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.753809
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.754436
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.753731
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.750852
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.748061
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.746637
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.745564
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.748388
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.746633
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.746163
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.749482
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.749216
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.745564

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05943
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02208
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995979
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.971999
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.950715
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.930535
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.911475
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.898484
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.877445
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.865537
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.854277
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.843361
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.831685
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.822197
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.812607
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.806168
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.799854
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.79037
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.788492
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.785484
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.777294
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.776733
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.772914
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.765792
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.764678
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.765751
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.76063
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.757982
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.751959
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.75316
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.754674
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.748554
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.747003
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.748643
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.744683
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.750848
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.746587
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.745353
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.74458
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.746927
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.743112
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.742081
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.741747
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.74147
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.747752
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.74506
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.745297
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.744426
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.7423
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.74147

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02053
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.98639
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.956409
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.930045
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906587
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.887383
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.870031
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.852093
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.839636
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.8292
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.811568
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.797801
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.784759
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.774938
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.767476
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.758504
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.748416
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.743602
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.736842
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.730115
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.727823
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.726231
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.721649
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.717624
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.711342
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.707123
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.705938
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.704323
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.703065
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.702203
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.699974
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.699862
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.699458
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.700994
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.700886
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.701373
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.698953
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.70051
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.700052
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.701847
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.702872
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.701218
Stopping. Best iteration:
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.698953

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05265
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01558
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978851
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.952482
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925744
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.901384
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.882579
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.864736
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.852107
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.842391
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.827536
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.816138
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.808268
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.80222
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.795511
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.789542
[16]	validation_0-merror:0.416667	validation_0-mlogloss:0.78809
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.783805
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.783714
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.783742
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.781238
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.778362
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.77672
[23]	validation_0-merror:0.416667	validation_0-mlogloss:0.77426
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.76934
[25]	validation_0-merror:0.416667	validation_0-mlogloss:0.768712
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.767687
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.769883
[28]	validation_0-merror:0.416667	validation_0-mlogloss:0.770568
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.769807
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.771488
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.770018
Stopping. Best iteration:
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.767687

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06238
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02603
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990491
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.958929
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928603
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907955
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.885622
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.869538
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.851343
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.841537
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.832675
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.823379
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.814654
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.810663
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797815
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.791563
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.78269
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.777247
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.776916
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.774209
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.773786
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.768726
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.762287
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.757575
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.751974
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.750542
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.748424
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.746
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.742914
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.741157
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.742944
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.743931
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.744558
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.740086
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.736858
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.733517
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.734388
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.734063
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.733181
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.731682
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.731909
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.729392
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.730492
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.732286
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.731924
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.731849
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.734034
Stopping. Best iteration:
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.729392

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.0623
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02266
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.992076
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.955758
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932038
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.905803
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.886366
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.867715
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.848188
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.828
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.818688
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807537
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.795187
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.784124
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.775925
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.769278
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.757176
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.752727
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.75211
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.748158
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.74076
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.735216
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.729473
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.723308
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.716527
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.710137
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.709134
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.711467
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.707173
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.700395
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.695342
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.690169
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.687579
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.686853
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.690999
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.691707
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.691593
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.688693
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.686303
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.685083
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.689237
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.687062
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.687619
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.689265
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.692512
Stopping. Best iteration:
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.685083

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05823
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02455
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.992201
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965592
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.931097
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.909174
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.885099
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.870002
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.8487
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.833978
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.824702
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.815906
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.80756
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.799352
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.793553
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786627
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.784428
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.775904
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.77875
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.780613
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.779894
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.779797
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.784697
Stopping. Best iteration:
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.775904

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05513
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01464
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.978399
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.956889
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.924172
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.909617
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.889286
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.882886
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864531
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.853638
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.840703
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.834199
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.821571
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.811016
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.799754
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.802013
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.793227
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.787563
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.782269
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.781907
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.784322
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.787904
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.786004
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.780354
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.778921
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.783788
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.780055
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.780136
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.778515
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.776814
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.77184
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.770753
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.767503
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.769838
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.772177
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.777856
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.77269
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.767515
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.767503

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04034
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00435
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.974622
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.944897
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.9261
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.897398
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.876349
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.85583
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.839964
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.827502
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.814781
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.804915
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.7943
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.780925
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.773653
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.766655
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.75778
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.754049
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.750528
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.74912
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.744924
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.74422
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.739016
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.733643
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.73205
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.731231
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.725009
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.728441
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.726433
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.727096
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.723397
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.719613
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714583
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.716151
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.7175
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.718188
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.71726
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.717362
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714583

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00829
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.980856
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.945835
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.914628
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.884342
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.864675
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.847801
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.825371
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.815894
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.809517
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.80927
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805566
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.799856
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.794989
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786485
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.786336
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.786768
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.787905
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.781129
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.774855
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.774638
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.772085
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.773744
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.776264
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.77483
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.7729
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.773926
Stopping. Best iteration:
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.772085

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04985
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01092
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.985892
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.964046
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.935168
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.915464
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.89888
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.888111
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.871978
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.860135
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.852195
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.840837
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.825916
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.816352
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.80665
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.804344
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.802237
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.796979
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.792953
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.789471
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.790756
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.791771
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.789341
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.786509
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.786292
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.790193
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.788843
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.792842
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.791068
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.787007
Stopping. Best iteration:
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.786292

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05008
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.00981
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.974435
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.941056
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.912612
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.885965
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.865016
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.842646
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.828871
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.821466
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.811407
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.79469
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.78219
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.769446
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.764769
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.753017
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.74321
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.73833
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.734019
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.729469
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.727651
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.723783
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.725118
[23]	validation_0-merror:0.233333	validation_0-mlogloss:0.720862
[24]	validation_0-merror:0.233333	validation_0-mlogloss:0.717621
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.71699
[26]	validation_0-merror:0.233333	validation_0-mlogloss:0.715529
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.71522
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.714087
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.713076
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.714136
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.715028
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.716224
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.7186
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.717627
Stopping. Best iteration:
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.713076

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05846
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02353
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.987472
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.961686
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.933122
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.905452
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.886723
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.867955
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.852393
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846147
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.837596
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.830008
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.824056
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.816817
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.810918
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.810473
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.804938
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.799554
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.802244
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.799213
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.801444
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.803301
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.804832
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.807183
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.806064
Stopping. Best iteration:
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.799213

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06122
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0202
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.98175
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.954783
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.929584
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.90161
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.877969
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864709
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.851801
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.841318
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830197
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.826394
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.81929
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.817288
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.811793
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.806372
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.802211
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800884
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.802532
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.805627
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.809187
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.808957
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.811252
Stopping. Best iteration:
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800884

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05367
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01346
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.983075
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.949022
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.927564
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.903237
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.886219
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863053
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.844673
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.830912
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.822476
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.810499
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.799146
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.787212
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.774782
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.765391
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.758647
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.749596
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.747414
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.745707
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.735605
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.729617
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.721188
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.713323
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.705309
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.701107
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.693533
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.695586
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.695544
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.691451
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.685413
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.680254
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.675417
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.675332
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.678666
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.679631
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.678896
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.674236
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.676463
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.675732
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.677768
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.679196
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.673622
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.671471
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.671618
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.674043
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.675602
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.670636
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.673017
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.679379
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.675828
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.677927
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.676348
Stopping. Best iteration:
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.670636

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05809
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02456
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.991414
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.965745
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.933127
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.909563
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.888859
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.874057
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.854949
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83821
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.825142
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.816378
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.805354
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.797809
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.795065
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.787372
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.784903
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.780841
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.778776
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.776798
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.775451
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.776207
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.77744
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.777121
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.775775
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.773576
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.775951
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.776697
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.77945
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.778176
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.77908
Stopping. Best iteration:
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.773576

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.0537
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.25	validation_0-mlogloss:1.01026
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.974695
[3]	validation_0-merror:0.25	validation_0-mlogloss:0.959216
[4]	validation_0-merror:0.25	validation_0-mlogloss:0.93109
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.915031
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.895306
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.88159
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.859469
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.849627
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.83607
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.82736
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.813714
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.801001
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.791291
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.793703
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.783907
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.774783
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.767
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.762159
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.758955
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.757973
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.759194
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.752689
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.74858
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.753868
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.75218
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.751433
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.747779
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.746129
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.745304
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.745432
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.740419
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.743006
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.7435
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.749435
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.747764
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.746371
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.740419

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04564
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01083
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.979352
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.946956
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.92828
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904532
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.885717
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.863178
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.844811
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.828466
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.815148
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.803517
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.792645
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.783638
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.771893
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.764311
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.753356
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.746524
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.743465
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.745004
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.741178
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.736466
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.729157
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.726405
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.722637
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.719897
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.715789
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.720876
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.721184
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.721394
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.715034
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.711281
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.706516
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.707516
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.709026
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.706184
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.709425
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.705274
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.707688
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.703777
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.706018
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.703477
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.700621
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.700628
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.698128
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.696867
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.695192
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.69245
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.693086
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.692747
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.69352
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.697608
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.695505
Stopping. Best iteration:
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.69245

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05024
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00878
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98253
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951352
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.920331
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.898075
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.880347
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.862518
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.843121
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.82762
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.819687
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.816403
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.80938
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.80281
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.79822
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.791077
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.789266
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.784491
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.784418
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.778657
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.773697
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.773939
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.77
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.772788
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.777458
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.77654
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.773892
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.77713
Stopping. Best iteration:
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.77

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05486
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01213
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.982856
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.965721
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.932055
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.910745
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.888018
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.87289
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.858225
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.848669
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.842332
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.830488
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.818997
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.808942
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.798841
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.798111
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.792321
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.783876
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.784488
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.780031
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.779287
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.781154
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.779244
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.774678
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.773768
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.775933
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.774546
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.776261
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.770256
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.769859
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.769812
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.77172
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.768678
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.772736
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.772218
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.778055
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.779397
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.780626
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.768678

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05327
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01366
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.974889
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.947902
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.917597
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.895079
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.875132
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.859022
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.843215
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.836691
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.823584
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.808183
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.794795
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.78153
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.77056
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.760242
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.750969
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.746678
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.742137
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.73999
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.733899
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.73072
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.732358
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.732115
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.730505
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.728142
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.724859
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.721531
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.722072
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.719465
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.718596
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.713129
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.712274
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.714308
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.715706
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.717618
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.719065
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.719143
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.712274

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05376
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01858
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.982494
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.958161
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.929186
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.903612
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882972
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864655
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.85086
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.83888
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.827463
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.813786
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80124
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.794484
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789373
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.782208
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.779797
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.775852
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.777053
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.774335
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.773604
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.774878
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.774025
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.774287
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.772563
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.775813
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.777178
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.780024
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.779289
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.781226
Stopping. Best iteration:
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.772563

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05625
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02196
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.983632
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.952637
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.922569
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.898248
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.877492
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.863324
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848759
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.842728
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.835955
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.82335
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.812578
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.80937
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799614
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.792702
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.781228
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773928
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.772736
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.771006
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.770908
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.7691
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765771
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.762161
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.755789
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.756125
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.755664
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.755818
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.756341
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.758084
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.761928
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.763725
Stopping. Best iteration:
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.755664

[0]	validation_0-merror:0.55	validation_0-mlogloss:1.06288
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02231
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989599
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.958748
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.935644
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.909343
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.89193
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.872056
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.856727
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.843063
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834221
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823854
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.812167
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.807803
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.800679
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.790989
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.780602
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.773061
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.771578
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.7668
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.757205
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.753118
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.747102
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.733463
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.727277
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.726164
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.723329
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.726448
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.727318
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.721693
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.717993
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.713697
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.712015
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.711087
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.712626
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.715292
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.717577
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.714784
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.715338
Stopping. Best iteration:
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.711087

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02349
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.986742
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962026
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.932652
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.909479
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.885505
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.865056
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.846753
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.828384
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.813049
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804638
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.799511
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.790973
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.786861
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.778813
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.775408
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.77382
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.775934
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773271
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767789
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.764899
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.7651
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.766259
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.766931
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.765949
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.766074
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.764899

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.0608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01812
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.983716
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.964582
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.939545
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.917609
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.898651
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.884053
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.864384
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.853015
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.836147
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.826334
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.811614
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.798136
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.786319
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.78862
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.780978
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.769938
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.764783
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.757545
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.749175
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.747171
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.744138
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.736972
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.733114
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.734695
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.735412
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.732752
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.728479
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.725813
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.724353
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.720989
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.717193
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.720905
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.719871
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.726366
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.724796
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.720762
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.717193

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04786
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01034
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.983116
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.945637
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.926274
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.902329
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.884459
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.862626
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.844143
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.830632
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.818452
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.805808
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.794669
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.7864
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.776524
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.766416
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.75459
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.746748
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.743433
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.744791
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.737452
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.735995
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.731251
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.726808
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.723252
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.72327
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.718877
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.721683
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.719475
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.718475
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.714053
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.708341
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.705979
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.704603
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.703626
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.699376
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.697797
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.696427
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.698222
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.697323
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.698896
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.697134
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.696926
Stopping. Best iteration:
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.696427

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04893
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00575
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.975982
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.94713
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.91567
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.889593
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.874145
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.855614
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.83396
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.817856
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.810136
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.804896
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.793443
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.786895
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.782377
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.773755
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.773014
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.76856
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.766875
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.761926
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.75189
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.751027
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.749805
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.74962
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.751289
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.752285
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.74997
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.748281
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.745005
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.742073
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.744165
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.750343
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.748022
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.747079
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.747161
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.742073

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05668
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01232
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.984945
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.96007
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938558
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.914111
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.89654
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.882858
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.861157
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.850391
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.841994
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.828679
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.814573
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.803333
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.794451
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.793963
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.790543
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.783465
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.783554
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.77959
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.775839
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.77626
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.771127
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.763432
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.758895
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.760719
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.754461
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.752287
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.751874
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.749318
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.750453
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.744581
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.742771
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.745912
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.742251
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.746318
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.74556
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.744658
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.745486
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.748827
Stopping. Best iteration:
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.742251

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05235
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01431
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976659
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.945568
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.919555
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.892743
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.869482
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.852088
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.835874
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.828325
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.815301
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.801175
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.787305
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.778672
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.770555
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.76069
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.753168
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.746341
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.738804
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.728862
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.722114
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.717529
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.713521
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.710341
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.706101
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.703913
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.697841
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.697466
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.695143
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69347
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.694764
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.692693
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.687605
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.687037
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.688952
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.691131
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.691835
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.693657
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.696947
Stopping. Best iteration:
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.687037

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.054
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0179
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.979699
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.953197
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.927162
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.902489
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.881832
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.86306
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.851059
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.840701
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.826871
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812356
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.802794
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.795551
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.793484
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784726
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.783267
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.780942
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.778836
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.774775
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.770858
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.768906
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.768454
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.768415
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.767545
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.768845
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.770557
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.773484
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.773251
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.779633
Stopping. Best iteration:
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.767545

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06407
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02871
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.993858
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967238
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.942279
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.916403
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894376
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.874078
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.851813
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847939
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.833317
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.820376
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.807648
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.798165
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.782392
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.777911
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.772262
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.769146
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.763938
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.758061
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.757081
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.755795
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.752586
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.748838
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.747324
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.746961
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.746352
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.747582
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.744782
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.747563
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.748036
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.752048
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.754217
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.752757
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.744782

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06392
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0368
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00304
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971498
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.949281
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.923215
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.905275
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.887654
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.872411
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.85279
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.843008
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.831078
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.81991
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.812079
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.800491
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.790849
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.781497
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.771629
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.769195
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.766104
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.757588
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.751672
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.74687
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.744046
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.737095
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.739686
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.736469
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.735389
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.736328
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.729756
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.728809
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.726223
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.725679
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.722458
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.724139
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.728755
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.729736
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.727664
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.724928
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.722458

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0614
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0251
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987037
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.962918
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.927735
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.906595
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885309
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.866029
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.847532
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.828427
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.811891
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.800707
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.79348
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.78515
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.778586
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.771843
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.767669
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.760426
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.761106
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.756546
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.751644
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.746119
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.747674
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.750263
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.753888
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.751859
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.748736
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.746119

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02467
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.989141
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.967017
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940669
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.920902
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.902784
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887806
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.870961
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.858431
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.842133
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.832306
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.815106
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.800243
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788627
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.789593
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.781825
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.772391
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.766832
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.76135
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.755852
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750962
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.749008
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.743104
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.741433
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.741952
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.74365
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739642
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.74089
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.735654
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.733001
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.726804
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.724607
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.727802
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.729481
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.73184
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.729968
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.727177
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.724607

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04991
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01354
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.987956
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.951444
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.928662
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.902438
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.881803
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.865983
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.854835
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.837133
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.826914
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.816169
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.804277
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.795323
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.787508
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.779547
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.773573
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.764533
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.762711
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.7594
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.752877
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.748086
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741468
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.737683
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.731193
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.728149
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.724025
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.726361
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.728619
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.724875
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.719412
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.715329
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.712274
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70929
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.707616
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.704165
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.702072
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.700028
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.702163
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.693354
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.694474
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.690992
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.690052
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.688977
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.688729
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.689142
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.690182
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.688721
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.685153
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.683447
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.684602
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.687134
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.682486
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.685402
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.681785
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.682021
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.682892
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.683721
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.68606
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.687238
Stopping. Best iteration:
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.681785

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05593
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01231
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.983237
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.950758
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.919583
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.896173
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.880664
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.859294
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.840928
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.826606
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.818244
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.812791
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.803241
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.798584
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.797352
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.786757
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.781652
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.778258
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.776792
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.770759
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.759904
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.759999
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.758668
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.761601
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.7621
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.763224
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.760449
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.755733
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.755189
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.756243
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.756882
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.755596
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.755876
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.756265
Stopping. Best iteration:
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.755189

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06034
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.266667	validation_0-mlogloss:1.01623
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.986374
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.959195
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938242
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.913545
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.895071
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.881944
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.860729
[9]	validation_0-merror:0.25	validation_0-mlogloss:0.84847
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.834108
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.824175
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.812008
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.802619
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.791884
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.786529
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.782962
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.77653
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.776195
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.772549
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.764813
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.765893
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.763094
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.756858
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.755867
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.756396
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.749368
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.747008
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.742077
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.735939
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.738093
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.733935
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.732152
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.734759
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.728946
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.733462
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.732298
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.731324
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.731227
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.734612
Stopping. Best iteration:
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.728946

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05908
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02096
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.986859
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.955203
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.931009
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.908705
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.890681
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.871725
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.853436
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.842508
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.831155
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812095
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.797146
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.784163
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.77496
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.767438
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.760509
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.755089
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.749714
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.742161
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.736984
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.733281
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.730273
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.728035
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.723676
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.720762
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.717169
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.715796
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.713917
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712523
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.712171
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.711183
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.710734
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.712836
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.714694
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.71454
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.714301
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.712059
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.710734

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05135
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01518
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978093
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.95441
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.930243
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.906937
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.890654
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.875996
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.862111
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.854059
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.838855
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.825185
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.815893
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.805306
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.801993
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.798034
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.796223
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.791887
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.79213
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.791675
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.791213
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.78976
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.790282
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.790654
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.788489
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.788746
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.790563
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.793144
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.796359
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.799026
Stopping. Best iteration:
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.788489

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06045
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02357
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985948
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.960731
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.930624
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.911368
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891475
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.874981
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.857852
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.851864
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.839029
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.829811
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.824101
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.817288
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.801572
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.800906
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.793912
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.786881
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.783313
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.780205
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.776808
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.774235
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.768299
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.759206
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.756329
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.754116
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.752993
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.750414
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.746645
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.744043
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.745187
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.744405
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.742581
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.740924
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.740084
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.737576
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.737002
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.737025
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.738243
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.736823
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.734533
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.733186
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.734945
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.737089
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.738333
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.741204
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.741254
Stopping. Best iteration:
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.733186

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05968
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03532
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00476
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.97214
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.951294
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.930824
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.912837
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.895973
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.876292
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.861137
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.851289
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.83894
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.826642
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.815488
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.805579
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.796668
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.785457
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.776253
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.772856
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.770574
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.761104
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.756077
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.75182
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.746007
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.739094
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.738154
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.735958
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.734327
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.73074
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.72637
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.724053
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.720699
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.717976
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.715231
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.715774
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.717919
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.71827
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.716519
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.716837
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.715231

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06076
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02678
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989515
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.962797
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.930788
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908573
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886504
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.865404
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.846035
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.829489
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.813354
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804337
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.796201
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.788353
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.786155
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.779003
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.775208
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.766212
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.765077
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.759769
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.75366
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.747773
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.748012
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.749018
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.750609
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.749109
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.7482
Stopping. Best iteration:
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.747773

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06357
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02557
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.99025
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.971313
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.949898
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.927175
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904272
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887546
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867542
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.852436
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.833316
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823463
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.812217
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.799058
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788694
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788239
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780322
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.770949
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.764345
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.759867
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.757361
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.750058
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.750305
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.742666
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.741275
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.744173
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.743248
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.739884
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.736839
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.73239
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.729256
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.727157
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.724757
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.727037
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.725081
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.7288
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.729813
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.728703
Stopping. Best iteration:
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.724757

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04985
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.01932
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.989697
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.954495
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.930503
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.905319
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.888224
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.872754
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.856508
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.839126
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.829233
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815072
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.802593
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.796621
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.785814
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.776402
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.76884
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.759927
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757761
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.757387
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.752245
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.750018
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.739747
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.73635
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.732268
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.728836
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.726226
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.727255
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.727597
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.725073
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.722462
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.716952
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.711321
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.710738
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.709361
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.704803
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.701788
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.699654
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.7014
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.700584
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.701711
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.695785
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.695363
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.69482
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.695115
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.695906
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.696596
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.693396
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.690225
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.690523
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.690541
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.691001
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.689629
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.691487
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.687364
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.686233
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.687931
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.688282
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.691042
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.690144
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.687544
Stopping. Best iteration:
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.686233

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.06022
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01778
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.987977
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.956837
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.927562
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907444
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.892037
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.869903
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851106
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.834109
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.821493
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.813853
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.802261
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.797805
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.794542
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.786356
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.783019
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.779751
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.775458
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.771005
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.761481
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.75792
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.751425
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.752371
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.752996
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.752274
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.749366
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.746559
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.745131
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.744026
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.746839
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.744551
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.74405
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.747367
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.748927
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.744026

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05943
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02208
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995979
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.971999
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.950715
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.930535
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.911475
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.898484
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.877445
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.865537
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.854277
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.843361
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.831685
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.822197
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.812607
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.806168
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.799854
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.79037
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.788492
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.785484
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.777294
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.776733
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.772914
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.765792
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.764678
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.765751
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.76063
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.757982
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.751959
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.75316
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.754674
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.748554
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.747003
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.748643
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.744683
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.750848
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.746587
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.745353
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.74458
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.746927
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.743112
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.742081
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.741747
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.74147
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.747752
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.74506
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.745297
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.744426
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.7423
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.74147

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02053
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.98639
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.956409
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928944
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.905565
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.887115
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.869761
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.852871
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.841027
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.830527
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.810885
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.797145
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.783694
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.774622
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.766127
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.756401
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.748836
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.742746
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.736035
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.731271
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.727721
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.724981
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.720244
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.715355
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.710374
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.708327
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.705108
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.702999
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.701767
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.70113
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.698934
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.698113
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.697479
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.700437
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.699015
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.699737
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.699975
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.699512
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.697479

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05265
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01558
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978851
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.952482
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925744
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.901384
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.882579
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.864736
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.853251
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.843518
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.828646
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.817698
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.811276
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.803109
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.796426
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.790691
[16]	validation_0-merror:0.416667	validation_0-mlogloss:0.788547
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.783567
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.782377
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.780628
[20]	validation_0-merror:0.416667	validation_0-mlogloss:0.779302
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.776842
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.775245
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.771369
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.76603
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.765695
[26]	validation_0-merror:0.416667	validation_0-mlogloss:0.765908
[27]	validation_0-merror:0.416667	validation_0-mlogloss:0.768213
[28]	validation_0-merror:0.416667	validation_0-mlogloss:0.769058
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.768887
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.768387
Stopping. Best iteration:
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.765695

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06238
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02603
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990491
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.958929
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928603
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907955
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.885622
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.869538
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.851343
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.841537
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.832675
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.823379
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.814654
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.810663
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797815
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.791563
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.78269
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.777247
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.776916
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.774209
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.773786
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.768726
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.762287
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.757575
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.751974
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.750542
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.748424
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.746
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.742914
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.741157
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.742944
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.743931
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.744558
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.740086
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.736858
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.733517
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.734388
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.734063
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.733181
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.731682
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.731909
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.729392
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.730492
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.732286
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.731924
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.731849
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.734034
Stopping. Best iteration:
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.729392

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06135
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02496
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998763
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965218
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.944513
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.920399
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.901523
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885842
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.865485
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.852847
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.842449
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.82766
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.815737
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.808209
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.796061
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781833
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773846
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.76329
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759566
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.754442
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748486
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.742803
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.733742
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72693
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.718211
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.711928
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.705198
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.703151
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699906
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.691985
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.688949
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.685004
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.680844
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.680004
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.68006
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.68186
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.681799
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.676315
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.675992
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.673862
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.67006
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.66973
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.664759
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.664335
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.665333
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.664082
[46]	validation_0-merror:0.25	validation_0-mlogloss:0.665663
[47]	validation_0-merror:0.25	validation_0-mlogloss:0.661705
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.660094
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.664328
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.661897
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.66709
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.667153
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.669201
Stopping. Best iteration:
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.660094

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05716
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02075
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.9857
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.960764
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.933283
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.912794
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.892119
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.874686
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.857947
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.840138
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826236
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.813742
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.798427
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79209
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.786537
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.77761
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.773709
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767393
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.765581
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.762178
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.759453
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.754169
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.754989
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.752589
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.75506
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.750224
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.743638
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.738791
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.733774
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.73609
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.73743
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.735407
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.734959
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.730424
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.732774
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.73355
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.727141
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.728933
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.72823
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.72446
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.724424
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.720822
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.719949
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.71564
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.717871
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.71893
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.725298
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.725351
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.726085
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.71564

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06252
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02418
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.990121
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.966782
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.941027
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.918044
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.896848
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.880657
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.864328
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.85096
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.832307
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.821503
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.81062
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.793255
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.78472
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781833
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773133
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767838
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757262
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.750612
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.747985
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.741256
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.736934
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.727849
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.726378
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.72425
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.721865
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.720266
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.715872
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.709834
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703318
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.697473
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.69227
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.694726
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.692043
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.691857
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.683621
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.68059
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.679016
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.677673
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.678169
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.673696
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.673216
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.668324
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.664713
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.664434
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.666162
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.663991
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.663308
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.662975
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.660804
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.660804
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.656654
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.658047
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.662507
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.66025
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.657942
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.657301
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.656654

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05432
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02087
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.996762
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.961435
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940231
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918891
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.899607
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.879108
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.862226
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.846767
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834201
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820309
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.808977
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801437
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788053
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.774662
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765651
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.756835
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.752274
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.749395
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.743496
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737617
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.729695
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72454
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.719891
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.711041
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.703669
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.702768
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.703149
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.700639
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.694135
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.689013
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.681853
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.679438
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.676461
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.673333
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.67222
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.673766
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.674689
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.671915
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.669046
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.665922
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.665697
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.666672
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.662696
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.661308
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.659428
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.657521
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.6542
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.654103
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.653303
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.655764
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.653048
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.656027
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.655872
[55]	validation_0-merror:0.25	validation_0-mlogloss:0.654755
[56]	validation_0-merror:0.25	validation_0-mlogloss:0.656577
[57]	validation_0-merror:0.25	validation_0-mlogloss:0.654814
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.653048

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05697
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02122
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994395
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.963677
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939323
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916178
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.899888
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.883509
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.868711
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856286
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.846999
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.840148
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.82791
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.820093
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.812156
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.802739
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.797042
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792494
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785051
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.776313
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.768007
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.762531
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.758732
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.756265
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.756204
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.75054
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.742145
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.739382
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737939
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.73418
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.731293
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.731518
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.726659
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.721481
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.721068
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.720876
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.717956
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.718368
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.717688
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.721499
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.720447
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.722128
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.720038
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.719283
Stopping. Best iteration:
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.717688

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06162
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02419
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.995502
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.968754
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.94702
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.924702
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.902362
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885106
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867463
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856766
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.846775
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.834811
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.823605
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815476
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.805527
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.800097
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.796132
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.790008
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.781135
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.778585
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.770054
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.760815
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.753178
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.743442
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.736994
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.731915
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.72478
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.721302
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.71489
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.709677
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.705722
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.704068
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.697467
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.697047
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.692631
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.690119
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.684696
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.681794
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.680856
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.6792
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.676422
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.676685
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.675594
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.674113
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.672644
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.672854
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.670113
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.67035
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.668159
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.670937
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.669442
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.669312
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.668397
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.6699
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.668159

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05611
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02068
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.98647
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.955587
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.931792
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.90804
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.887698
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868128
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.851453
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83916
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826822
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814517
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.801452
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.787164
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.777067
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.766363
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.759598
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.751441
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.744675
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.737542
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.732692
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.725629
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.723977
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.717806
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.714234
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.707452
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.705553
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.701681
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.699574
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.695307
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.692851
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.69246
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.689717
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.683616
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.683222
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.679085
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.673024
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.671777
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.67229
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.672034
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.670521
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.670289
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.668643
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.669715
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.668153
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.670877
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.669817
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.669243
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.670534
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.669882
Stopping. Best iteration:
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.668153

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05781
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02599
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.995518
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970909
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.945964
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.924741
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.90338
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.892087
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879878
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.868035
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.858636
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.845897
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.836876
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.828572
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.823106
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.81337
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.806314
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.80081
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.795323
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.788574
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.781864
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.77704
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.775072
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.771137
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.766533
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.761551
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.756094
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.755624
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.75409
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.749816
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.749601
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.74674
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.743852
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.742376
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.739276
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.735355
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.735776
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.733533
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.733689
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.735275
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.732637
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.731883
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.730727
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.729875
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.728009
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.729658
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.728059
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.726182
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.725828
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.723925
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.724867
[51]	validation_0-merror:0.366667	validation_0-mlogloss:0.724278
[52]	validation_0-merror:0.366667	validation_0-mlogloss:0.724114
[53]	validation_0-merror:0.366667	validation_0-mlogloss:0.726696
[54]	validation_0-merror:0.366667	validation_0-mlogloss:0.727181
Stopping. Best iteration:
[49]	validation_0-merror:0.366667	validation_0-mlogloss:0.723925

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06798
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03255
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.999221
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.974127
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.950911
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.924384
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.90385
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897919
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.881387
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.875647
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.868499
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.861833
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.856335
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.848621
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.835595
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.828055
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.816854
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.808196
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.802304
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.79534
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.788281
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.78302
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.776661
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.768816
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.759525
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.754939
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.748607
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.744986
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.743029
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.739503
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.737451
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.735669
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.732809
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.729009
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.726639
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.7209
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.717701
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.716958
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.715923
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.71338
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.708926
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.706648
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.703092
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.700551
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.699725
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.696495
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.692954
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.690707
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.687106
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.686439
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.683844
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.680545
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.679194
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.677968
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.679082
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.677492
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.676551
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.674987
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.672632
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.669373
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.669487
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.670029
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.670327
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.669813
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.669897
Stopping. Best iteration:
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.669373

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05895
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02293
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.996971
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967088
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.946102
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.922064
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905343
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.886289
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.868233
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.854235
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.843433
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.829537
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.818153
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808803
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.79608
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.783666
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776522
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.765432
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.761242
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.756372
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.748456
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.743398
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736519
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.729772
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.720385
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714123
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.70782
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.703976
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.701694
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.695921
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.692931
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.688865
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.68451
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.683994
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.685692
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.686901
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.686389
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.680588
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.68007
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.67794
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.673125
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.672872
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.669901
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.669418
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.670837
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.671162
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.672051
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.667207
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.665802
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.669957
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.667265
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.670819
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.67097
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.672625
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.665802

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02238
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.987566
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.963764
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.936836
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914934
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.892232
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.874837
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857847
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.839335
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.825605
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812897
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80032
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.792819
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.791004
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781702
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.777494
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773898
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.772285
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.768317
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.766949
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.761535
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.761586
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.760589
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.76215
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.757797
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.75452
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.751224
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.750154
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.7514
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.752476
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.748913
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.750307
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.745987
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.749844
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.753764
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.750189
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.751773
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.747576
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.745987

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06263
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02431
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.990213
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966924
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.941126
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.917951
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.895385
[7]	validation_0-merror:0.233333	validation_0-mlogloss:0.879437
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.863008
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.851395
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.832668
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.821757
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.810675
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.793199
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.784416
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781354
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775011
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.76908
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.758174
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.751069
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.747338
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.740601
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.736192
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727078
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.723805
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.722343
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.721293
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.719833
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.714021
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.716808
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.711076
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.704117
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.699395
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.700723
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.697822
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.69868
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.690031
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.685753
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.68249
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.682417
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.686165
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.680241
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.680597
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.675415
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.673483
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.673194
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.676942
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.673504
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.672716
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.674781
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.672099
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.670887
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.665797
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.66863
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.673601
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.67138
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.670514
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.669034
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.665797

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05336
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02036
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.994915
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.959577
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.940379
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92053
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905109
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.884934
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.868054
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852718
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.840084
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.827706
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.815005
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.806714
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.792799
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.778826
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.770331
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.761343
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.75631
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.752714
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.745664
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.74245
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.733729
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.728586
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.724144
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714519
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.707732
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.706382
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.70734
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.705388
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.697839
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.693353
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.684276
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.680571
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.676669
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.672826
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.670206
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.671361
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.67118
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.668539
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.666099
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.66208
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.661087
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.661371
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.657667
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.656619
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.654382
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.651161
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.647771
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.64859
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.648152
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.649598
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.647599
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.65162
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.65062
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.650917
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.652724
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.65118
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.647599

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05665
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02348
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.995985
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.9651
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.941431
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.918318
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.901799
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.886466
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.871385
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.858846
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.849529
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.842833
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.830852
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.823316
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.81324
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.803389
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.797989
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.794023
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.786671
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.781986
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.773233
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.765237
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.763895
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.759067
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.760879
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.754814
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.744946
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739648
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737036
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.736085
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.736913
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.736254
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.731329
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.727452
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.726716
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.72606
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.723184
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.724464
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.724276
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.727433
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.725373
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.727948
Stopping. Best iteration:
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.723184

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06305
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0268
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998088
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.975034
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.953303
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92987
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.907761
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.890674
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.872452
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.862504
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.850043
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.83875
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.828036
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.819881
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.811967
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.806001
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.801451
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.794584
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.78541
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.780197
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.770839
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.762644
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.756574
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.751493
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.74251
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.740424
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.733147
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.729318
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.722717
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.719164
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.715336
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.713703
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.707025
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.703954
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.698848
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.69785
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.691526
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.68762
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.686502
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.68452
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.681252
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.680228
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.678911
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.67891
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.677963
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.676971
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.673897
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.672024
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.669747
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.672597
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.671058
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.671164
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.670251
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.671566
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.669747

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02218
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.986227
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.956672
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932714
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.909271
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88971
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868898
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.853149
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.842651
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830703
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.816472
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.803696
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.790413
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.781244
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.770171
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.762848
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.760514
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.753591
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.744885
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.738705
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.731299
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.729758
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.728264
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.722296
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.715831
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.710396
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.708645
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.703413
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.697339
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.694624
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.69303
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.692833
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.68995
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.687642
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.684669
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.683255
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.679793
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.678968
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.679791
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.676879
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.677374
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.677295
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.677883
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.67451
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.675551
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.67467
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.672681
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.67454
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.674215
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.672723
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.674058
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.675732
Stopping. Best iteration:
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.672681

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05674
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02435
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993657
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.968617
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.94356
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.921957
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.903378
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.889204
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.876313
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863351
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.851939
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.838437
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.829885
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.822129
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.814838
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.805002
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.799218
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.793207
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.788728
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.787411
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.780472
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.77549
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.7714
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.766386
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.760459
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.756369
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.751472
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.748281
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.745366
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.742831
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.742065
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.735562
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.734667
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.73348
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.731159
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.728294
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.727673
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.721796
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.720124
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.717583
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.715825
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.715328
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.714193
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.710125
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.709395
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.709443
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.708016
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.708719
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.709729
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.708068
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.709162
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.711706
Stopping. Best iteration:
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.708016

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06754
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03172
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.999086
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.973193
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.948428
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.925296
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904734
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895911
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875467
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866637
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.861219
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.854323
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.8458
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.83769
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.829073
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.820864
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.812646
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.801737
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.793393
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.787976
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.776754
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.771344
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.765993
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.758718
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.751562
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.750403
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.742094
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.739443
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.736543
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.730874
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.729482
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.727586
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.723146
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.719982
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.717454
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.712766
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.708509
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.707753
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.706179
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.704787
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.704313
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.700871
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.697955
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.695169
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.693767
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.694049
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.690915
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.688304
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.686837
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.686474
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.686024
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.683411
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.681768
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.681262
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.682651
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.680683
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.680778
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.683271
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.680946
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.680861
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.679611
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.680144
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.680577
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.678724
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.679706
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.678725
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.681474
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.680304
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.683193
Stopping. Best iteration:
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.678724

[0]	validation_0-merror:0.516667	validation_0-mlogloss:1.06381
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02945
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00198
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.973144
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.952445
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.925539
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.908714
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.889958
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.872423
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.857868
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.84584
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.833736
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.82233
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.812673
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.802765
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.791641
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.783538
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.771918
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767449
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.763148
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.755959
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750717
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.745088
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.737903
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.729605
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.723595
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.716894
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.713381
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.711225
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.703458
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.700709
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.69558
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.692922
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.691825
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.691854
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.69317
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.692393
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.688195
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.689409
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.686251
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.681802
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.682455
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.678913
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.678258
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.680031
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.678182
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.678982
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.677129
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.67694
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.678105
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.675458
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.678899
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.679087
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.680879
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.679176
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.678292
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.675458

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01961
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.985933
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.960837
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.933695
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.910256
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.888935
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.871049
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.854284
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.836616
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.822057
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.807444
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.793199
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.785625
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.780453
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.771709
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.767407
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.758711
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757432
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.75284
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.750478
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745078
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.743796
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.742507
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.741106
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.737068
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.734454
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.728744
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.726355
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.727241
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.728346
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.726182
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.72625
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.722264
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.725561
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.729115
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.722656
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.725434
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.72481
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.722264

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06649
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02828
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.994208
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.9696
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.94695
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.921567
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.900247
[7]	validation_0-merror:0.25	validation_0-mlogloss:0.882527
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.866385
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.854686
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.835652
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.824188
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.812836
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798041
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.789765
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781933
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.772278
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.766632
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.755294
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.748641
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.74486
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.740282
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.73619
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727162
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.725444
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.725586
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.724423
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.720989
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.718818
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.719368
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.713195
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.709378
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.701437
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.702955
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.699824
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.699929
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.697448
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.694768
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.690633
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.692002
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.695122
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.689694
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.69038
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.687051
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.683628
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.68158
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.684849
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.68184
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.680083
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.681923
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.68221
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.682178
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.677047
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.678203
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.68377
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.682727
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.682394
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.681369
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.677047

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05321
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02047
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.995754
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.962628
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.94353
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925841
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.9091
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.88869
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.873153
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.857855
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.846938
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.833714
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.821698
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.815196
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.800435
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787067
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.779196
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.771552
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.766599
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762811
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.755558
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.748485
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.739977
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.734725
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.730856
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.720765
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.715171
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.713765
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.714161
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.708121
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.702166
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.699416
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.692317
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.689996
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.687338
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.682901
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.682016
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.683321
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.684021
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.684018
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.683565
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.679467
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.678783
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.678946
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.675115
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.673417
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.671777
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.666174
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.661997
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.662949
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.661969
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.662836
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.660908
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.663006
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.662002
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.661195
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.663969
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.661987
Stopping. Best iteration:
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.660908

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05706
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02414
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995372
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.967106
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.944108
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.920582
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904387
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.88731
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.871715
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.853452
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.843979
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.838728
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.826416
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.819054
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.808133
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.798604
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.794042
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.789143
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.781529
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.774597
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.766472
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.758489
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.752521
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.747489
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.74898
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.743106
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.735071
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.731626
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.728716
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.727014
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.727665
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.727004
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.722189
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.719802
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.718668
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.718897
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.717076
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.719977
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.718945
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.721059
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.719456
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.720132
Stopping. Best iteration:
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.717076

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06305
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02647
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.997766
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.973947
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952206
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.93074
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.909795
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.892737
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.873362
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.863251
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.852899
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.8412
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.830499
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.824841
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.81807
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.811723
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.805844
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.798924
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.791497
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.786216
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.780821
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.77418
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.767834
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.757813
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.750093
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.748042
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740617
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.736735
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.729698
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.725122
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.722062
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.716717
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.710456
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.710359
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.70818
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.70733
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.699925
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.695509
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.694509
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.692709
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.68867
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.688949
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.68719
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.686115
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.686656
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.685391
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.684503
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.681888
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.679126
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.680993
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.679617
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.679643
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.679788
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.681148
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.679126

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05867
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02302
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.989497
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.959657
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.935418
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.912516
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.891843
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.873398
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857465
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846788
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834717
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820751
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.808764
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.796068
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786779
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.777116
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.767519
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.759293
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.753659
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.746307
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.741695
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.734405
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.732585
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.730486
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.728883
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.718499
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.716659
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.713457
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.708496
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.700111
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.698102
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.696453
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.693154
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.687319
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.686751
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.682057
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.678243
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.674304
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.674974
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.673899
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.674878
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.673378
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.672787
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.674851
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.676806
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.679403
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.679071
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.678211
Stopping. Best iteration:
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.672787

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05705
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02725
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996394
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.970504
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.943641
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.922253
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.903917
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.885527
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87216
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.863664
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852815
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.842987
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.830289
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.822958
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.816017
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806779
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.79916
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.794092
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.788188
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783561
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.776715
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.771402
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.764329
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.760604
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.75629
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.754419
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.748798
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.746706
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.743751
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.741314
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.740843
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.737207
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.738451
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.739432
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.739259
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.737693
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.738803
Stopping. Best iteration:
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.737207

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03114
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997493
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971687
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.949147
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926288
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.906025
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.897354
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.876942
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.867092
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.861916
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.854594
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.84827
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.839723
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.830579
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.822179
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80863
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.799627
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.788275
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.782331
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.775592
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.769107
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.760852
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.752805
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.744807
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.741439
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.737187
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.735579
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.730925
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.725458
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.724187
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.720801
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.716035
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.711293
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.706822
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.70332
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.698808
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.695305
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.692123
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.689777
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.687206
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.684862
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.682119
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.680747
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.681657
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.678514
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.678141
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.678797
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.676454
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.673259
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.672744
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.670087
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.669963
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.667726
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.669605
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.67112
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.671482
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.67257
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.670643
Stopping. Best iteration:
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.667726

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06586
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03794
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.00958
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.97925
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957714
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.929205
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.912377
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.894361
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.876652
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.861531
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.84937
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.837884
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.826468
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.816571
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.806591
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.795576
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.786388
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.776112
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.77142
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.766794
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.758098
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.751507
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745431
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.738337
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.729172
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.728757
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.724659
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.721796
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.717733
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.71195
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.709709
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.70515
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.70231
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.703118
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.70194
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.704144
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.702516
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.701398
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.701644
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.699875
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.697609
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.696038
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.693254
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.69317
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.694916
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.69231
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.694721
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.692666
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.691732
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.695159
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.693371
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.696196
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.695093
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.696524
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.691732

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02012
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.986396
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.961404
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.93338
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.912543
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.891775
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.873913
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.856239
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.839578
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.824517
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812101
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.800268
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.791726
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786996
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.778278
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.773483
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767476
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.766128
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.75962
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.757516
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.751877
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.751527
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.748901
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.749153
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.744118
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.740564
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.735081
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.731387
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.730906
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.730402
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.727518
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.726435
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.722987
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.726977
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.730486
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.726353
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.729233
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.728928
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.722987

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06617
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02796
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.994569
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.972002
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.949225
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92622
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.903872
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.886134
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.871456
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.858943
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.840263
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.828555
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.814042
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.799046
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.789249
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.786226
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.778696
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769863
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.761336
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754866
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.751526
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.744875
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740826
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.728897
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.728061
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.728588
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.727981
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.72694
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.722379
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.725551
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.718486
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.713819
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.711352
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.714386
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.711125
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.716179
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.712403
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.710361
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.706378
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.709511
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.713611
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.710164
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.710847
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.706751
Stopping. Best iteration:
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.706378

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0559
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02377
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.998034
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965322
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.945261
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.926622
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.90522
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887186
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.87519
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.859965
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.847652
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.834092
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.824472
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.816571
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.802493
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788504
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780791
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773435
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.770087
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76788
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760326
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.754266
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.745889
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.740237
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.736059
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.729875
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.724064
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.722121
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.721023
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.717363
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.712369
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.707811
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.701237
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.696815
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.695091
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.691687
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.688376
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.682106
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.683075
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.67977
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.680939
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.674889
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.673914
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.674153
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.672917
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.671433
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.669781
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.664278
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.660918
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.661708
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.661462
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.661215
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.655481
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.659266
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.658999
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.656316
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.659044
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.657646
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.655481

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05561
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0207
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.991914
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.962967
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938772
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.916373
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.900347
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.88393
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.867174
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.85574
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.848842
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.843473
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831292
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.822062
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.814193
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.804402
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.801372
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.794682
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.787136
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.778667
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.76829
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.760971
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.75708
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.75715
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.757068
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.751401
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.744423
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.741888
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.739128
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.737435
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.739455
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.738706
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.735575
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.732203
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.731155
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.730414
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.728088
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.729163
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.728457
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.730672
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.728992
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.730291
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.728088

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06405
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02754
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998835
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.975727
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954082
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.93275
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.910768
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.894683
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.875761
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.865636
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.855461
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.844203
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.832564
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.827021
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.819046
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.812895
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.804695
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.797031
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.789584
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.787002
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.780767
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.772545
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.76442
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.75417
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.749252
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.747386
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.739702
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.736991
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.728877
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.724095
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.722842
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.717372
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.709503
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.708956
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.702467
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.700477
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.700541
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.696615
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.695618
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.694039
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.688166
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.687645
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.68362
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.685396
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.6851
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.683939
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.682073
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.680159
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.680838
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.681217
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.680274
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.680617
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.677861
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.679119
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.68127
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.679994
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.67522
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.675587
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.675199
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.675085
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.676772
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.678313
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.681524
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.682757
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.681774
Stopping. Best iteration:
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.675085

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06376
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03201
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00118
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971155
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.948816
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.926938
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.906387
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.889292
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87342
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.86195
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.84991
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.837434
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.825099
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813077
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.803632
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.792411
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.784725
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.779658
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.771629
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.762989
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754807
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.749201
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.748092
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.74618
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.743335
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.735731
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.732361
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.728577
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.725713
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.720089
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.71782
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.715023
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714899
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.713112
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.709981
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.709025
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.707345
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.703807
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.703017
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.701425
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.700987
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.702789
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.701118
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.702686
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.700155
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.700611
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.699912
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.697043
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.693769
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.693489
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.690333
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.690826
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.692641
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.692247
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.691181
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.691875
Stopping. Best iteration:
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.690333

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05826
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03014
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.99829
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969273
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.945041
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.927552
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.910476
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.898388
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.885343
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.874767
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.864249
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.85232
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.83988
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.830197
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.823475
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.815533
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.806204
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.802361
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.795778
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.790863
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.784037
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.781771
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.775225
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.770039
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.765534
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.763389
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.762456
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.758409
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.754941
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751153
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.749394
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.74627
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.743605
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.743389
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.742226
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.740835
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.738515
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.734895
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.732116
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.729748
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.73047
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.730524
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.732892
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.734655
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.733674
Stopping. Best iteration:
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.729748

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03114
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997493
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971589
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.948869
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.926473
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905896
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897186
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.876178
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.867455
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.862827
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.856195
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.847116
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.838454
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.826572
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.815467
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.803535
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.794678
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.78556
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.779578
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.774759
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.767995
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.758162
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.750428
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.741189
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.739033
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.731674
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.730269
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.72533
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722187
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.720257
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.71579
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.7129
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.708816
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.706042
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.703846
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.701283
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.700475
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.697009
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.694927
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.69132
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.688281
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.688209
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.688767
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.688941
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.686956
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.683777
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.681228
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.682426
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.679539
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.679524
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.677443
[52]	validation_0-merror:0.25	validation_0-mlogloss:0.6743
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.671537
[54]	validation_0-merror:0.25	validation_0-mlogloss:0.671076
[55]	validation_0-merror:0.25	validation_0-mlogloss:0.672468
[56]	validation_0-merror:0.25	validation_0-mlogloss:0.670804
[57]	validation_0-merror:0.25	validation_0-mlogloss:0.671325
[58]	validation_0-merror:0.25	validation_0-mlogloss:0.670931
[59]	validation_0-merror:0.25	validation_0-mlogloss:0.671931
[60]	validation_0-merror:0.25	validation_0-mlogloss:0.670584
[61]	validation_0-merror:0.25	validation_0-mlogloss:0.669693
[62]	validation_0-merror:0.25	validation_0-mlogloss:0.669207
[63]	validation_0-merror:0.25	validation_0-mlogloss:0.671511
[64]	validation_0-merror:0.25	validation_0-mlogloss:0.672102
[65]	validation_0-merror:0.25	validation_0-mlogloss:0.67061
[66]	validation_0-merror:0.25	validation_0-mlogloss:0.670828
[67]	validation_0-merror:0.25	validation_0-mlogloss:0.670471
Stopping. Best iteration:
[62]	validation_0-merror:0.25	validation_0-mlogloss:0.669207

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05848
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03262
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00557
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.973702
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954976
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.932828
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.915603
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.898426
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.880728
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.863051
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.851137
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.839646
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.827773
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.818229
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.807867
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.798084
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.788949
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.777707
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.77193
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.766901
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.761585
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.755059
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.750149
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.743837
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.734506
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.733858
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.730075
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.728005
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.72105
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.716067
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.713029
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.707768
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.705709
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.706251
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.707185
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.707629
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.705992
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.703849
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.704234
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.700328
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.698044
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.697567
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.696223
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.695155
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.697144
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.694512
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.696217
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.692291
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.690472
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.692642
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.689263
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.692339
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.690082
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.690912
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.692384
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.689704
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.689263

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0575
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02163
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.989128
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.962048
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934287
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.914695
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.893383
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.872555
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.854937
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83781
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.822787
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.810389
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.799228
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.790494
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.787714
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.779943
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.774834
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.76851
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.76709
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.760419
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.757726
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.752302
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.75137
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.750972
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.75069
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.746424
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.742987
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.737615
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.733446
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.733393
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.734211
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.731001
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.730375
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.729453
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.732136
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.733198
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.731938
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.736479
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.734284
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.729453

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06634
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02809
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.995342
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.973414
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.950268
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.926975
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.90508
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.887137
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.870811
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.858421
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.839715
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.828476
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.817025
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.801707
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791059
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789659
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.781863
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.773261
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.764961
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759456
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.75586
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749605
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.74941
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.744752
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74484
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.745519
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.743617
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.738458
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.736265
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.738881
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.735155
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.732609
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.727665
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.729044
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.726164
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.731138
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.731192
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.729259
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.727762
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.731256
Stopping. Best iteration:
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.726164

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05582
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02895
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00127
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.965521
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.943955
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921273
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.899859
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.882564
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867177
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852054
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.839464
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.825894
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.816007
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809407
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.79508
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.780319
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.771869
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.764542
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759012
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.75815
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.750756
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.748391
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740228
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.733148
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.728891
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.722708
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.716655
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.715929
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.71484
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.713084
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.709179
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704256
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.695552
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.693485
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.69127
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.687533
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.685318
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.681642
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.683434
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.678305
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.67837
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.674147
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.672921
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.673999
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.673356
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.674125
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.672871
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.66735
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.66491
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.663623
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.663263
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.663147
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.661449
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.66471
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.664843
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.661842
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.664038
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.663012
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.661449

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05883
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02428
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.996628
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.96766
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.944307
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.922245
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.905677
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.88812
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.871039
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.85235
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.844407
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.837512
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.825604
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.819739
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.80993
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.801981
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.798195
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.790643
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.784118
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.779328
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.771894
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.765248
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.758056
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.753143
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.754415
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.747809
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.740715
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739608
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.735804
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.738311
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.738414
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.737173
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.736028
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.73207
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.730836
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.729971
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.727571
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.728787
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.728021
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.730593
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.728663
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.72872
Stopping. Best iteration:
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.727571

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06375
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02956
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00085
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.97775
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.956649
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935587
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.913474
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.898758
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.879096
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.868878
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.856627
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.845175
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.834391
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.828499
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.820393
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.814187
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.807177
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.79878
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.790505
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.788095
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.78434
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.783352
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775629
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.765039
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.761674
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.755484
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.748029
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.74498
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.736768
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.733925
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.734127
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.730837
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.72419
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.725246
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.718549
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.717924
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.715296
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.711118
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.709282
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.708767
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.703042
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.702125
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.69975
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.702562
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.702749
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.697921
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.696612
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.694908
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.694701
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.697381
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.696514
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.69535
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.694411
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.695941
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.698619
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.693137
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.68703
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.686034
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.685656
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.686414
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.689943
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.692249
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.694835
[63]	validation_0-merror:0.316667	validation_0-mlogloss:0.695895
Stopping. Best iteration:
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.685656

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.0627
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03085
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999969
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970718
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.949097
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.927243
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.906346
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.889457
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.873039
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.861454
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.849227
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.838132
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.826703
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.813281
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.804202
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.794257
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.785364
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.778586
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.772994
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766177
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759531
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.753947
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.750761
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748351
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.745708
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.738617
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.735146
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.732778
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.729814
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.724852
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.722248
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.721789
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.722791
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.721707
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.722089
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.720865
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.719575
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.717369
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.716376
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.714676
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.716005
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.718324
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.716964
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.716156
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.716426
Stopping. Best iteration:
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.714676

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05715
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02739
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.994041
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965801
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.938375
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.918972
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.900039
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.886607
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.873774
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863514
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.853021
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.842866
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.830716
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.821893
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.815296
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.807055
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.800687
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.7937
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.786288
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.782498
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.776043
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.774295
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.77007
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.767647
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.762104
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.758728
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.756287
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.754922
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.75205
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.749997
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.750165
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.750007
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.745703
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.745824
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.742011
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.741031
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.73987
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.74059
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.736584
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.735159
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.734251
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.733319
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.733989
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.732604
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.732137
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.732271
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.730175
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.73002
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.733017
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.73103
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.730411
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.729909
[52]	validation_0-merror:0.35	validation_0-mlogloss:0.732885
[53]	validation_0-merror:0.35	validation_0-mlogloss:0.732948
[54]	validation_0-merror:0.35	validation_0-mlogloss:0.731396
[55]	validation_0-merror:0.35	validation_0-mlogloss:0.733808
[56]	validation_0-merror:0.35	validation_0-mlogloss:0.735544
Stopping. Best iteration:
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.729909

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0343
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00054
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.974659
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.951715
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.925813
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905415
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895721
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875479
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.865712
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.860665
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.854625
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.849245
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.841787
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.82861
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.819865
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.808384
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.797554
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.790232
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.781496
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.777852
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.77058
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.766077
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.756549
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74977
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.7436
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741391
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.736684
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.732712
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.725447
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.722453
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.720378
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.712807
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.70713
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.706109
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.701698
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.697954
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.695474
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.693199
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.690745
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.689784
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.689267
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.68592
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.687277
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.684792
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.685246
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.684678
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.682463
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.680071
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.678618
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.676036
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.67346
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.671705
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.67355
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.671383
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.672983
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.672195
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.671548
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.671309
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.672674
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.674274
[61]	validation_0-merror:0.25	validation_0-mlogloss:0.674799
[62]	validation_0-merror:0.25	validation_0-mlogloss:0.677261
[63]	validation_0-merror:0.25	validation_0-mlogloss:0.677639
Stopping. Best iteration:
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.671309

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06121
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02209
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.993445
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.956158
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.935458
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.90807
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.887497
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.869758
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.851516
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.834343
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.822418
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.807706
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.794515
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.786961
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.774191
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.763245
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.754316
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.747607
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.740397
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.736183
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.727562
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.723215
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.712106
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.70412
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.694567
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.689666
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.685758
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.686108
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.685422
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.675169
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.670086
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.666022
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.665446
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.662632
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.667951
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.672625
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.67455
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.668578
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.665442
Stopping. Best iteration:
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.662632

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05781
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.0224
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.982676
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.956244
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.921083
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.89917
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.87259
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.855285
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.834779
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.818285
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.80688
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.797458
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.789153
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.778832
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.774281
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.763942
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.762252
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.754865
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.752741
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.755424
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754894
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.755891
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.757997
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.755243
Stopping. Best iteration:
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.752741

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05254
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01381
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.97707
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.957629
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928601
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.912103
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894538
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.880529
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.863085
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.853869
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.838268
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.826863
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.81207
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.797942
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.784886
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787676
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779461
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.777682
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.769443
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.763175
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.763453
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.76404
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.761761
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.753959
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.756311
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.759591
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.756648
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.757306
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.755947
Stopping. Best iteration:
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.753959

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04724
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01189
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.980737
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.944691
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.92335
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.894337
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870712
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.85086
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.833418
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.81445
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.801906
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.786601
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.775026
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.761324
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.752789
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.740592
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.729323
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.720903
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.718912
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.718006
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.711665
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.708812
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.702785
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.700646
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.698861
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.698977
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.692819
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.693273
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.691972
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.691315
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.6873
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.684688
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.680398
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.680368
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.681536
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.682691
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.681382
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.68551
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.683841
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.680368

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0518
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00598
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.974484
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.940055
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.914054
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.885145
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.86647
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.847552
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.824097
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.810249
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.802361
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.795126
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.786458
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.781251
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.774965
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.768373
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.768357
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.76188
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.754762
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.749232
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.743943
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.744111
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741194
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.74172
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.747
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.744682
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741318
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.741876
Stopping. Best iteration:
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741194

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05226
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0144
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.981838
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.962841
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.935869
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.916132
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.896248
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.884628
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.860257
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.849143
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.843064
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.828279
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.816595
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.806712
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.794951
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.788231
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.785278
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.774588
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.769224
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.763314
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759652
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.759849
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.753169
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.749515
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.744843
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.745384
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.743444
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.74113
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.739308
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.734167
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.733729
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.73277
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.730582
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.734332
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.731077
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.734172
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.728678
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.728834
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.730613
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.733255
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.731969
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.733174
Stopping. Best iteration:
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.728678

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04996
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.00812
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.974092
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.941249
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.913727
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.886013
[6]	validation_0-merror:0.25	validation_0-mlogloss:0.86617
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.842551
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.826733
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.809754
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.797208
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.777254
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.76307
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.750275
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.740599
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.732982
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.725567
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.7226
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.718444
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.714321
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.709736
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.705283
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.70598
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.700157
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.700398
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.695926
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.69566
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.693168
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.697086
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.692715
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.689117
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.689104
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.688435
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.690629
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.689535
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.689855
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.689214
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.690491
Stopping. Best iteration:
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.688435

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05317
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.983859
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.957123
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.926108
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.899021
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.880357
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.861386
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.848627
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.84275
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.833831
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.822679
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.813094
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.804294
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.798878
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.788259
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.781619
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.776384
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.773344
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.774092
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.776401
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.775843
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.779308
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.77816
Stopping. Best iteration:
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.773344

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05976
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0167
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.982694
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.955636
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.922237
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.895766
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.872549
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.856967
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.841672
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.831937
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.825118
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.821607
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.812533
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.810094
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.800366
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.795688
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.786394
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.778512
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.777198
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.778839
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.779595
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.779181
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.782364
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.781768
Stopping. Best iteration:
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.777198

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05378
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01192
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.983363
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.950518
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928548
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.903656
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.886494
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.865608
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.845903
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.829355
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.822098
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.808158
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.796295
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.789843
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.776869
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.77109
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.763406
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.753912
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.750627
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.745866
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.734069
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.730986
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.722462
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.71278
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.703983
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.700281
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.692979
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.696881
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.696849
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.692203
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.687109
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.684299
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.677687
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.67413
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.676583
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.678177
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.676373
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.674107
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.676519
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.67457
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.676203
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.672301
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.668185
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.663289
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.664238
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.665234
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.667045
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.662337
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.661448
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.669198
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.66435
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.667062
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.668142
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.669012
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.661448

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05958
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02531
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.986014
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.956695
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.922507
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.899163
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.876406
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.857733
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.835884
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.81836
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.805474
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.793306
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.784115
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.776204
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.775037
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.766352
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.765767
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.763781
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.761623
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.760799
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.76237
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.762612
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.763119
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.765298
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.765629
Stopping. Best iteration:
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.760799

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05629
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01792
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.981711
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.966227
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.939176
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921775
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.902664
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.890108
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.868653
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.855871
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.839772
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829865
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.813242
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.796605
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.787422
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.787162
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.778329
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.774093
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.766812
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76113
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.758064
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.757028
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.752443
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.747657
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.743406
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.743798
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.743755
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.739089
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.73633
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.732441
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.728644
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.72543
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.722385
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.724936
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.72697
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.732495
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.72845
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.725027
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.722385

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04841
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01344
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.984085
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.947711
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.928422
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907066
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.889947
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.869425
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.848788
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.833513
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.819079
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.806187
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.794673
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.78599
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.776867
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.765788
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.756727
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.746115
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.743611
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.741978
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.736538
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.734413
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.726572
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.719603
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.714304
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.710553
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.704804
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.704919
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.704658
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.701412
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.695675
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.693294
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.690875
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.68736
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.688028
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.686344
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.687703
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.690146
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.68971
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.689555
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.691005
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.686344

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04825
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00527
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.975893
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.94002
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.912063
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.886852
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.872114
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.854152
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.835949
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.821077
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.812838
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.805343
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.795414
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.790432
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.785377
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.778753
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.775953
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.772142
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.769489
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.763456
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.757872
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.759875
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.755836
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.756786
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.761055
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.758685
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.753715
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.751669
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.750973
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.748365
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.752482
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.758308
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.756799
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.758084
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.758144
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.748365

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05588
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01327
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.981039
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.964075
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.935865
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.911711
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.891261
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.877255
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.856892
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.847756
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.840103
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.825728
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.810884
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.803228
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.791555
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.783145
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.777602
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.767079
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.768381
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.761645
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.756511
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.75694
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.752224
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.749199
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.742602
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.740418
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.739116
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.737734
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.730195
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.725734
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.726188
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.72979
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.729186
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.733808
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.7312
Stopping. Best iteration:
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.725734

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05395
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01698
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.977589
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.947849
[4]	validation_0-merror:0.266667	validation_0-mlogloss:0.918203
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.89341
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.873235
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.852519
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.834667
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.819888
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.808184
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.790968
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.77757
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.767082
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.7567
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.746812
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.738948
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.730952
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.726036
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.723603
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.718763
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.713494
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.712648
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.710421
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.708307
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.703032
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.700598
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.699245
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.696288
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.692791
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.691339
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.692855
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.693185
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.694729
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.693633
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.690288
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.688988
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.688456
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.688566
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.688247
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.687437
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.687847
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.687595
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.691022
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.692347
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.691399
Stopping. Best iteration:
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.687437

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05049
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02028
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98291
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.955622
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.924541
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.9036
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.88503
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.867548
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.851157
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.835039
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.823945
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.810898
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.799232
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.78651
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.779426
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.770742
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.76211
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.757514
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.758007
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.758679
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.761225
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.758115
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.76113
Stopping. Best iteration:
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.757514

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05567
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01735
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.982146
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.953185
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.91837
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.891876
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870623
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.862801
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.846615
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.837773
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834252
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.8275
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.816288
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.81184
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.802188
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795316
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.784063
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.778272
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.778929
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.775434
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.774883
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.771422
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.771918
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.767214
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.763325
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.757834
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.758032
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.756025
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.755583
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.752737
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.754096
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.748382
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.747351
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.74379
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.742844
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.74291
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.74619
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.748163
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.750298
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.750107
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.742844

[0]	validation_0-merror:0.566667	validation_0-mlogloss:1.06343
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02398
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.994587
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.963431
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.940232
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.913625
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896704
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.876058
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.858308
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.843044
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.834257
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.822557
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.811294
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.806117
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798154
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.789198
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780338
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768588
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.766664
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.762748
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.752721
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.749522
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.746287
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.735228
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.729717
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.730853
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.72754
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.728728
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.728404
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.723326
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.719789
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.715036
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.713999
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.713805
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.713542
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.715714
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.715243
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.71316
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.712666
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.709317
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.712632
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.711869
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.708422
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.707019
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.708995
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.711145
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.714213
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.711882
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.715096
Stopping. Best iteration:
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.707019

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02349
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.985664
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959217
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.92815
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.905377
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.881379
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.863012
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.843654
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.826829
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.809602
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.798501
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.790724
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.782269
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.778049
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.767901
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.765228
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.757319
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.758079
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.755793
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.751377
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.749726
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.749472
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.750722
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.751178
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.749087
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.751469
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.748305
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.749194
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.751033
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.751562
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.752823
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.752739
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.748305

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06156
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01949
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.984831
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.964667
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.940405
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916997
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.895425
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.881592
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.863237
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.848985
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.83126
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.822819
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.807512
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.793721
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.781953
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.782455
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.772128
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.764332
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.757329
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.751249
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.743791
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.74161
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.737929
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.730121
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.727284
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.727994
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.729112
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.725327
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.720794
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.717248
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.712811
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.709308
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.705302
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.709021
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.709704
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.716345
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.716272
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.711869
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.705302

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05096
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01522
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.98965
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.954146
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.934306
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914591
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.897434
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.875907
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.858702
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.843875
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.830812
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.817237
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.806575
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.7969
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.784932
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.774585
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.76431
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.756303
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.754048
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.754104
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.747796
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.742079
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.736008
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.730807
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.728599
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.724626
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.718096
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.721286
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.719159
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.719619
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.713
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.70757
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.704354
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.703017
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.701531
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.697062
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.694649
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.696433
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.695125
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.694054
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.694112
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.692942
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.691745
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.69334
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.69073
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.691663
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.689743
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.686488
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.684158
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.683183
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.683033
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.685832
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.683249
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.685466
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.683999
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.68619
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.683033

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04967
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00675
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.976904
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.946978
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.918696
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.895409
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.879003
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.861675
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.841271
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.824977
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.818185
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.810391
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.798417
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.792014
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.784907
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.777873
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774072
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.771326
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.769287
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.762019
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.755494
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.755866
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.751229
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.750752
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.755057
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.753948
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.750031
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.75197
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.751191
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.749293
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.750587
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.754256
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.751675
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.751304
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.749193
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.750867
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.751701
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.756568
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.759605
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.764524
Stopping. Best iteration:
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.749193

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05745
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.013
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.984148
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.957902
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.93655
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.910298
[6]	validation_0-merror:0.25	validation_0-mlogloss:0.889919
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.874398
[8]	validation_0-merror:0.25	validation_0-mlogloss:0.851206
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.840028
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.830507
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.818211
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.806516
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.795069
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.787672
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.784815
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.781928
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.773715
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.772823
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.767076
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.763135
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.762972
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.759369
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.754894
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.747872
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.74625
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.738295
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.737347
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.733418
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.729312
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.730205
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.726258
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.724373
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.725804
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.723429
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.72953
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.728678
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.728693
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.72895
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.729334
Stopping. Best iteration:
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.723429

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05354
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01548
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980216
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.948503
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.919028
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.892144
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.869923
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.850697
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.833763
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.822846
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.80898
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.79231
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.783728
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.775044
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.766712
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.756191
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.751128
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.745192
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.739766
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.73693
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.729294
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.724316
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.721858
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.719793
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.713625
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.707677
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.701576
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.700635
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.696644
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.690944
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.691025
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.691883
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.692659
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.692713
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.695101
Stopping. Best iteration:
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.690944

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0514
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01622
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.978313
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.950346
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.922834
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.900169
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.879753
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.862703
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.851356
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.837127
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.82415
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.811111
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.801068
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.792815
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788187
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.784215
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.780509
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.777771
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.777445
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.776369
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.770946
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.76949
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.769681
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.769297
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.766914
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.766679
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.766565
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.770388
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.769561
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.771949
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.772815
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.774475
Stopping. Best iteration:
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.766565

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06265
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02495
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.98798
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.966015
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.936546
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.912253
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.888024
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.868748
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.850594
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.844495
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.830743
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.817111
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80646
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.802281
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.790592
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.786271
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.776905
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.769899
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.766824
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.762226
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.759959
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.758336
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.755507
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.748824
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.744271
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.739249
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.738143
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.73681
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.734967
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.736886
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.738798
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.738239
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.735275
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.731626
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.728522
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.727586
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.727467
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.725823
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.723265
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.723479
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.72425
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.724237
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.725367
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.722419
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.719818
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.724106
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.727237
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.732979
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.7363
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.737494
Stopping. Best iteration:
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.719818

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06392
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0368
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00548
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.973927
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.951025
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.925268
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.906206
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.888872
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.872947
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.853975
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.844948
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.829297
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.817802
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.803366
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.793237
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.785996
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.776977
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767203
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.761362
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.758194
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748397
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.741308
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.736414
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.734911
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.728822
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.731058
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.729085
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.727977
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.726886
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.720403
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.718344
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.714779
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714432
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.711493
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.713417
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.717496
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.717263
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.715806
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.720989
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.711493

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0614
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0251
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.986762
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.962403
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.930002
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.908537
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88705
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.869309
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.849681
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.830552
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814589
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.805702
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.797603
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.789215
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.782618
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.775563
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.771852
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.761719
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.761653
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.756732
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.752219
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.745602
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.746646
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.747991
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.751894
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.749204
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.747228
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.745602

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02467
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.988956
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966786
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940423
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.919349
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.901145
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885779
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867257
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.858472
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.840746
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.830388
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.818141
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.802939
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792299
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.792709
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.785081
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.775776
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.772655
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.767724
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.762147
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.757531
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.755538
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.75092
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.749071
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.75137
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.753001
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.748806
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.748122
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.742867
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.737104
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.731836
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.729529
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.732825
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.734685
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.735902
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.73464
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.731651
Stopping. Best iteration:
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.729529

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05143
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01873
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.995159
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.961844
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.940697
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.914314
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.893393
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.876194
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.864214
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.84675
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.832885
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.819746
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80987
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.802101
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.792124
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781977
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.77477
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767994
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.765433
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.768351
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759785
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.754084
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.748493
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.743189
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.739229
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.733661
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.727399
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.730172
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.731675
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.729616
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.726041
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.720717
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.717179
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.713983
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.711372
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.706788
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.703683
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.70148
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.702185
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.693993
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.695472
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.691067
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.692161
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.692556
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.692438
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.693252
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.695159
Stopping. Best iteration:
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.691067

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05492
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01165
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.982614
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.94993
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.920618
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.891707
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.87688
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.855046
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.836821
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.820914
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.811923
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.80719
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.796107
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.789093
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.783782
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.775307
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.770449
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.765485
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.763031
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.758086
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.748373
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.749253
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.745809
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.747709
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.748132
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.746622
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.745193
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.746369
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.745272
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.744031
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.742675
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.741097
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.742551
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.741959
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.743857
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.742512
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.743205
Stopping. Best iteration:
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.741097

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06086
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.266667	validation_0-mlogloss:1.0167
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985944
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.958766
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.939165
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.911331
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.890916
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.876915
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.857903
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.845466
[10]	validation_0-merror:0.25	validation_0-mlogloss:0.830155
[11]	validation_0-merror:0.25	validation_0-mlogloss:0.81997
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.807634
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.797781
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.787938
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.781231
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.776843
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.770378
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.771177
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.763451
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.754967
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.754144
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.749468
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.742599
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.742288
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.742804
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.734319
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.73184
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.726821
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.729467
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.730895
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.72428
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.72234
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.724907
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.721292
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.725792
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.722475
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.721189
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.721164
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.724412
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.718919
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.716993
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.717098
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.719827
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.725028
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.724593
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.725252
Stopping. Best iteration:
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.716993

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05952
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02215
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.987663
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.95715
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.930433
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906788
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886953
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.870299
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.853078
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.841657
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.830464
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814928
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.805654
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.796514
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.78745
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.781382
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.771464
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763888
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757985
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.748252
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.744473
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.739032
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.736906
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.732602
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.73193
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.727322
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.723707
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.722102
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.720782
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.716785
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.715677
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.717484
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.716033
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.714693
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.715332
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.716205
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.717422
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.715053
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.714352
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.715173
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.715057
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.714413
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.712429
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.712717
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.712645
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.712299
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.711757
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.710864
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.711657
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.710963
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.708511
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.709028
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.709471
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.709536
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.707926
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.70986
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.712046
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.712891
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.713541
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.711833
Stopping. Best iteration:
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.707926

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05037
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01727
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.979902
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.954542
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.927813
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.907716
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.89201
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.875008
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.862852
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.853219
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.838554
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.822177
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.816019
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.810241
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.802812
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.792376
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.787753
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.785938
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.786605
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.785148
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.78146
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.778812
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.776895
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.776963
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.775713
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.776766
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.777285
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.778991
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.780443
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.780887
Stopping. Best iteration:
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.775713

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06045
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02274
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.986871
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.960509
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.929569
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.910363
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.889476
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.874095
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.855264
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.848309
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.836795
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.828518
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.820831
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.817926
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.805185
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.803414
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.794627
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.787275
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.785994
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.781858
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.776175
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.773878
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.769405
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.761798
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.754847
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.751379
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.748193
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.745695
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.742116
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.740659
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.739585
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.737804
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.736379
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.733971
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.730607
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.729035
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.731165
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.728855
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.730491
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.733036
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.730241
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.728818
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.732064
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.734985
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.740548
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.743216
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.743801
Stopping. Best iteration:
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.728818

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05968
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03532
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00476
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971207
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950508
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.930661
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.91213
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.894835
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875216
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.853054
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.843355
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.831347
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.818815
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.806197
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.795803
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788462
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.777221
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768776
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.765257
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.764034
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.754667
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749354
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745889
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.739995
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.731841
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.730459
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.728216
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.726062
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.722509
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.71809
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.715934
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.712067
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.711475
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.710923
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.713763
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.714599
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.71384
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.712284
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.713589
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.710923

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06076
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02616
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.988914
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.961254
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.93041
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.910977
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.888864
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.868116
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.848635
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.830005
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.81421
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.805079
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.79642
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.788596
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.786743
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.779244
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.775597
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.76555
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.764467
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.759385
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.753123
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.750861
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.752579
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.753374
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.754754
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.753017
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.751279
Stopping. Best iteration:
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.750861

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06357
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02557
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.989965
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.971004
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.949519
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926779
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.903824
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.88626
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.866234
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.85117
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.832062
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822113
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.811625
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.798456
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.787663
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787511
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77955
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.770073
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.763054
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.75848
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.755937
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.748476
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.748641
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.740909
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.738077
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.740914
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.738587
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.734677
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.732046
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.727505
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.722781
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.718723
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.716227
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.717371
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.713494
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.719764
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.720706
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.719389
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.718582
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.719677
Stopping. Best iteration:
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.713494

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05134
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02406
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.996428
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.961192
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.937052
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.913757
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.89816
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.880332
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.863206
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.846269
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834942
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.819758
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.810379
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.8037
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.79258
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.782649
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775291
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.766316
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.763944
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762816
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.753862
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749548
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740236
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.738415
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.734765
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.728251
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.724032
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.72679
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.72918
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.727546
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.724522
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.717762
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.711439
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.709955
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.708604
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.703727
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.704053
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.701682
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.704711
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.703843
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.705011
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.700637
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.700805
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.700267
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.700035
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.700613
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.701079
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.698221
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.696521
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.696258
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.696524
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.697279
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.696253
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.698153
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.692872
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.691823
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.694285
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.694438
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.697035
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.696827
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.694687
Stopping. Best iteration:
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.691823

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06058
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01816
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.987606
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.955947
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.927967
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.907543
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891928
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.86962
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851624
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.834568
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.822288
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.814845
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.803075
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.795037
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.790352
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.783576
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.779823
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.775277
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.769626
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.763679
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754435
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.750893
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.747747
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.746615
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.746437
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.743157
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.737919
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.736482
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.736505
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.737549
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.73844
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.739193
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.73912
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.736482

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05943
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02208
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.995204
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.971245
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.950224
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.929887
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.908713
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.89393
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.873649
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.861704
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.84815
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.83617
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.824491
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.815141
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.805922
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.798979
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.79264
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.783593
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.777581
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.772679
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.766822
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.765387
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.759888
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.750916
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.751257
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.751114
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.745855
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.743359
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.737508
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.735914
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.736544
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.731031
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.730813
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.73391
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.729639
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.734645
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.730569
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.728932
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.728634
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.730588
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.726844
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.724205
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.722663
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.723374
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.729702
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.727175
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.725166
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.724578
Stopping. Best iteration:
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.722663

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05772
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02286
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.988836
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.958625
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.933489
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.910798
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.892202
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.874784
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.856593
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.842901
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.835394
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.816555
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.803137
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.790883
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.782438
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.775368
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.768878
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.761851
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.755984
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.747342
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.741827
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.736608
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731423
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.724375
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.721591
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.715151
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.715318
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.713399
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.711846
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.710529
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.708376
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.70663
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.706657
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70359
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.703676
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.702456
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.701527
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.7004
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.700167
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.701814
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.700982
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.70197
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.702122
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.704038
Stopping. Best iteration:
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.700167

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05342
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01709
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978872
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.952174
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.924408
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.901011
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.882711
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.864915
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.85146
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.843292
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828773
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.814913
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.808886
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.801855
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.794449
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.787034
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.78407
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.781511
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.778716
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.776094
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.771125
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.767984
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.766929
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.762812
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.756576
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.755222
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.755845
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.757342
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.757702
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.758547
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.758893
Stopping. Best iteration:
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.755222

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06238
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02503
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989557
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.957132
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.927685
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.905764
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.882513
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.867295
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.849637
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.83946
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.831705
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.819956
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.810772
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.802954
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.789695
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.786861
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.778058
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.769813
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.766489
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.760053
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.756928
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.754797
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.75476
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.748401
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.740309
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738626
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.73494
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.732092
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.728422
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.725831
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.727595
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.728749
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.727946
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.722958
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.723491
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.723179
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.720304
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.718656
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.7184
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.715941
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.714541
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.714634
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.714225
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.713285
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.712817
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.714098
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.713264
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.712468
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.713231
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.714205
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.71514
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.717192
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.718635
Stopping. Best iteration:
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.712468

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06239
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0235
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.99248
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.955529
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.933611
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.906237
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.886411
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868463
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.850596
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.834529
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.825304
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.811115
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.799995
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.788179
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.776917
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.768039
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.756863
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.751187
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.748827
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.74723
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.739021
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.733212
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.724329
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.71748
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.710115
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.706703
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.70231
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.708352
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.707371
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.698714
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.69275
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.689281
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.686282
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.682028
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.684304
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.686785
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.687894
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.684714
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.681385
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.678393
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.678278
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.675249
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.675505
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.674756
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.678243
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.679064
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.680882
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.680339
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.682146
Stopping. Best iteration:
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.674756

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05823
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02329
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.984102
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.958632
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.928551
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906952
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.882466
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868673
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.847471
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.829341
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.820005
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.80944
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.801645
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.793143
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.786874
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.774919
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.767352
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.761756
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.758679
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.756577
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.756923
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.756141
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.761604
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.763394
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.765647
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.764491
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.763017
Stopping. Best iteration:
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.756141

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05482
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01434
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.97895
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.954973
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.924853
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907944
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.887624
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.87463
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.854732
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.84217
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.827572
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820128
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.805905
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79722
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.787305
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.790186
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.780779
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.779628
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.77403
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.772102
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.776638
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.776915
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.77695
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.770978
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.771104
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.775584
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.773048
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.773873
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.774597
Stopping. Best iteration:
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.770978

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04426
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00651
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.976424
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.938603
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.919272
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.889573
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.866611
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.844893
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.828906
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.814708
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.803658
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.792428
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.779347
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.767685
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.760207
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.749969
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.742159
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.735386
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.735257
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.73193
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.729108
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.725614
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.720203
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.715903
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.713026
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.71328
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.707461
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.711765
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.710223
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.710929
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.706098
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703323
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.699544
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.699543
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.69972
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.7014
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.697688
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.699331
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.698784
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.698665
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.702618
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.700033
Stopping. Best iteration:
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.697688

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05265
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00556
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.975206
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.944676
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.913455
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.882999
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.865184
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.847463
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.826974
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.814981
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.807049
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.801959
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.794865
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.789808
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.78362
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.778
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776773
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.77808
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.772078
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.767153
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.760674
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.75997
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.758375
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.75962
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.764351
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.764526
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.762442
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.763899
Stopping. Best iteration:
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.758375

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04909
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01017
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.983963
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.961936
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.932796
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.913127
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.890019
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.87965
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.860342
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.849056
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.842296
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.834681
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.82262
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.813786
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.803519
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.802529
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.799546
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.792962
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.787461
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.781079
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.77921
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.781673
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.780136
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.778185
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.772999
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.77531
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.776
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.777802
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.774012
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.770113
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.767834
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.77306
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.769646
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.773094
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.772851
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.779465
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.767834

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04955
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00971
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.972861
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.939861
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.90912
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.882266
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.859842
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.840236
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.827258
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.816904
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.806257
[11]	validation_0-merror:0.233333	validation_0-mlogloss:0.788496
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.773969
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.760859
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.75135
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.741604
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.734511
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.730186
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.72635
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.723083
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.719817
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.714141
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.713861
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.71465
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.710736
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.708112
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.707382
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.710106
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.709895
[29]	validation_0-merror:0.233333	validation_0-mlogloss:0.708208
[30]	validation_0-merror:0.233333	validation_0-mlogloss:0.705571
[31]	validation_0-merror:0.233333	validation_0-mlogloss:0.705963
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.706216
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.706509
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.705901
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.704206
[36]	validation_0-merror:0.233333	validation_0-mlogloss:0.705818
[37]	validation_0-merror:0.233333	validation_0-mlogloss:0.708844
[38]	validation_0-merror:0.233333	validation_0-mlogloss:0.708999
[39]	validation_0-merror:0.233333	validation_0-mlogloss:0.709334
[40]	validation_0-merror:0.233333	validation_0-mlogloss:0.709061
Stopping. Best iteration:
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.704206

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05609
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0216
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985073
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.955836
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.925666
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.899389
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.881285
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.865726
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.849676
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.840021
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.832647
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823001
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.815575
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.810997
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.806306
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.79807
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.792033
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.786635
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.792738
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.787746
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.792405
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.792789
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.79467
Stopping. Best iteration:
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.786635

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06132
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0186
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.980592
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.956184
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.930786
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.903108
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.878838
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.866648
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.854736
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.845547
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.836857
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.833364
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.828718
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.826533
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.82087
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.818989
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.813524
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.807676
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.809961
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.813299
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.813048
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.812503
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.812685
Stopping. Best iteration:
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.807676

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05367
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0143
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.983791
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.951352
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.928739
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.90421
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.886773
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863173
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.84177
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.828373
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.820328
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.806559
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.797443
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.786923
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.774362
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.76472
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.757111
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.747867
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.74492
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.743363
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.733145
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.72806
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.719688
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.711221
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.703918
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.69977
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.692459
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.694881
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.693413
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.688391
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.683916
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.679734
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.681045
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.681503
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.683947
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.685438
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.685144
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.679734

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05958
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02531
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987039
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.96088
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.929988
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906642
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886319
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.872444
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.851602
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.83557
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.82199
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.810473
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.80195
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.794963
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.791977
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.783543
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.781506
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.778105
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.775822
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.773636
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.771743
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.770512
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.772778
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.772984
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.772047
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.769297
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.770711
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.77172
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.77386
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.772504
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.774163
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.769297

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.0539
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.25	validation_0-mlogloss:1.0102
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.975474
[3]	validation_0-merror:0.25	validation_0-mlogloss:0.960256
[4]	validation_0-merror:0.25	validation_0-mlogloss:0.9321
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.91464
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.895446
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.882058
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.859402
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.849508
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.833451
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824908
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.811155
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.798178
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.789658
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.789379
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.779258
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.769808
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.763298
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.756961
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.75202
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750764
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.749091
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.741952
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.737051
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.741579
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741878
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.74054
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.736542
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.734459
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.733384
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.731779
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.727818
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.731478
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.732584
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.738389
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.736121
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.733582
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.727818

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04567
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00908
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977737
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.94271
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.922196
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.896419
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.878137
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.856309
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.839169
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.821773
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.808378
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.798899
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.787295
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.777444
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.767957
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.759498
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.749673
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.741287
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.738376
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.738778
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.734265
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.730395
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.722779
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.719125
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.715712
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.71214
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.707514
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.709703
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.710808
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.708794
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.701452
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.698197
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.696292
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.693735
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.694283
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.692178
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.693976
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.69701
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.697728
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.698393
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.702486
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.692178

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05036
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00896
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.982009
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.948848
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.917863
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.892878
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.878199
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.859933
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.839418
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.825508
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.817698
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.81006
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.802477
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.793765
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.789705
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.782368
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.781346
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.778142
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.777433
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.771419
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.767965
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.767359
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.765292
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.765181
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.770187
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.767993
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.768002
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.765111
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.763389
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.759144
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.762019
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.769037
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.767525
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.768433
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.768608
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.759144

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05486
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01213
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.983089
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.965892
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.932029
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.910445
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.8933
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.878276
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.860889
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.851508
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.845238
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.834287
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.821743
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.812438
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.801533
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.803294
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.797481
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.788695
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.789377
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.783925
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.782593
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.786221
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.783341
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.78087
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.775183
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.776076
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.774792
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.774702
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.770085
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.769815
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.770828
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.772497
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.769587
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.774502
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.772587
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.778225
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.7779
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.777723
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.769587

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05291
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01536
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977178
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.946279
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.918483
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.894581
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.873653
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.857758
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.841282
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.830198
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.817988
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.802996
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.79043
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.775655
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.767887
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.758205
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.752058
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.7483
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.742538
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.739901
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.734643
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.729551
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731948
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.730635
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.724947
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.721517
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.715874
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.716077
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.714494
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.711794
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.710036
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.710209
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.709278
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.710138
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.71383
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.71641
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.716001
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.714476
Stopping. Best iteration:
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.709278

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05428
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02125
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.98317
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.958014
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.926343
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.904653
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.883915
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.866532
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.849059
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.840347
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.825874
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.811899
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.803996
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.797607
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790146
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781579
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.777996
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.77478
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.774462
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.77439
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.773646
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.769553
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.772603
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.772356
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.770709
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.771413
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.773264
Stopping. Best iteration:
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.769553

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0564
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02201
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.986206
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.958751
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.92459
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.900323
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.879389
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.865507
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.852695
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.848806
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.840446
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.832014
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.820796
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.814832
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.806462
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.801066
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.789465
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.783332
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.780247
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.773615
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.774259
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.773134
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.775508
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.771626
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.766873
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.762032
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.761815
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.763723
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.762227
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.762919
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.765418
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.767502
Stopping. Best iteration:
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.761815

[0]	validation_0-merror:0.55	validation_0-mlogloss:1.06288
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02231
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989029
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.958247
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.935586
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.909898
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.892947
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.872934
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.85751
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845062
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.837153
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.827033
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.815191
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.807037
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797274
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.786628
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.77727
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765417
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.763649
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.759476
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.750907
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747264
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.742577
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.732525
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.726092
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.72657
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.723743
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.723334
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.723493
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.718019
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.714666
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.709939
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.707647
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.70554
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.705797
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.707045
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.707848
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.706134
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.706127
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.70554

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02349
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98671
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.96239
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.932611
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.909799
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886817
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.869062
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.850649
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.830882
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814169
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804773
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.799525
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.790893
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.78551
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.780635
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.777377
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.77445
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.774488
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.772138
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.765885
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.760385
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.76037
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.761606
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.762567
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.761652
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.76164
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.757327
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.758517
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.76154
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.761965
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.760811
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.757394
Stopping. Best iteration:
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.757327

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.0608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.0188
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.985376
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.966249
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.939198
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.916045
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.897493
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.883692
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.863849
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.850675
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.831835
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.824006
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.808146
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.794875
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.782052
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784971
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775087
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.764126
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.758761
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.752219
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.744862
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.743209
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.740029
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.732248
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.729336
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.731312
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.732709
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.728851
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.724768
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.72172
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.718672
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.715802
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.709359
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.713004
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.711428
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.717954
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.717911
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.713659
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.709359

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.04898
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01182
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.985763
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.95038
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.930476
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.906074
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.888622
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.867082
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.84871
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.834479
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.821539
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.809894
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.799162
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.790967
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.782376
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.772683
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.76245
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.754403
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.749928
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.751445
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.744772
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.744546
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.737179
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.734516
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.72911
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.724608
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.718837
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.721964
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.720824
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.719945
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.714252
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.708869
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.705209
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.706263
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.705572
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.701477
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.699052
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.697361
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.699414
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.698518
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.701087
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.700685
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.699334
Stopping. Best iteration:
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.697361

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04853
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00545
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977232
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.947784
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.917807
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.891746
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.875901
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.857463
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.837188
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.82367
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.815968
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.809321
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.797406
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.792792
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.788209
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.782502
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.78179
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.780534
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.778173
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.772154
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.765765
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.765456
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.762291
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.762155
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.764179
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.762489
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.762138
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.758336
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.754985
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.752147
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.753189
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.758895
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.756821
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.756533
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.758814
Stopping. Best iteration:
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.752147

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05668
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01232
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.984945
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.958872
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.937357
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.913216
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.89301
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.878147
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.856232
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.844853
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.835129
[11]	validation_0-merror:0.25	validation_0-mlogloss:0.822502
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.808619
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.798083
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.786259
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.784524
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.781084
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.774693
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.773828
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.76898
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.764927
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.765519
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.758352
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.753705
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.750167
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.751486
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.743804
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.742016
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737476
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.738721
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.737527
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.735252
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.733914
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.736445
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.735645
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.740117
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.742121
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.742052
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.733914

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05208
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01394
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976192
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.943558
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.916024
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.889144
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.867306
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.848864
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.831334
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.820524
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.81194
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.79571
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.780204
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.771147
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.760501
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.753264
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.744211
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.739387
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.731858
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.724318
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.719148
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.715829
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.715045
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.711556
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.705107
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.700674
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.697128
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.693371
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.691026
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.6865
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.683824
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.684198
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.684521
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.683503
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.684548
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.685154
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.686691
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.685786
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.686507
Stopping. Best iteration:
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.683503

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05451
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02063
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.98183
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.956198
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.931349
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.906653
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.885214
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.866186
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.853513
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.844187
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.830337
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.816176
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805839
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.796077
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.793759
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.784505
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.780991
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.779036
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.777903
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.771443
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.765785
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.76284
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.762832
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.761592
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.760484
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.760161
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.761122
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.76346
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.762423
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.767696
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.772488
Stopping. Best iteration:
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.760161

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06407
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02871
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.993858
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967573
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.94262
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.916744
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.895255
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.87494
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.85387
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.850052
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.835434
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823162
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.80886
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.799393
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.786587
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.782074
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.773933
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.768892
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.76763
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.764556
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.763389
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.762893
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.762978
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.759488
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.758271
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.755812
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.752415
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.753936
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.7518
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.750938
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.756242
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.757744
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.759091
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.758414
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.75912
Stopping. Best iteration:
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.750938

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06392
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0368
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00304
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971498
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.949281
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.923806
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.904884
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.888021
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.872253
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.852631
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842276
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.827972
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.816661
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.808923
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797424
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.789725
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.78086
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.772325
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.766612
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.763381
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754406
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.747512
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.742616
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.740352
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.734098
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.736047
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.733926
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.732742
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.733495
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.727184
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.725439
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.72294
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.722267
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.719151
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.720992
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.725664
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.72654
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.724914
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.723884
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.719151

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0614
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0251
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.986762
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.963383
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.927977
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906811
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885457
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.867348
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848902
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829646
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.813848
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.802564
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.795235
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.786859
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.780427
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.773568
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.769799
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.759872
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.760517
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.755856
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.751435
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.74533
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.746771
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.749367
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.752733
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.750882
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.747512
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.74533

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02467
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.988956
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966786
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940423
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.920704
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.90252
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.887261
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.869395
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.860518
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.843894
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.833448
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.818251
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.803316
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792835
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.795061
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.787353
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.777947
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.772566
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.767163
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.761684
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.75619
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754412
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.74797
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.746189
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.746941
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.748287
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.745478
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.744756
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.738055
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.734316
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.728894
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.726702
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.729951
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.731661
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.734161
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.733081
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.730123
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.726702

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04991
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01553
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.989895
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.953563
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.930782
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.904748
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.883691
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.867855
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.856713
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.840854
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.830001
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.819245
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.807292
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.796703
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788914
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781292
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.775431
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.766892
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.765071
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.761068
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.755939
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.751289
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.744376
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.740427
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.733165
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.7301
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.726144
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.728473
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.728354
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.725861
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.719868
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.716462
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.713489
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.707791
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.706117
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.702645
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.699612
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.696656
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.699278
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.695141
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.696256
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.692039
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.691608
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.690684
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.690865
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.691694
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.691869
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.690662
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.687034
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.686917
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.68793
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.690276
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.686798
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.68987
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.686315
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.685273
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.68865
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.689739
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.69177
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.690843
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.692086
Stopping. Best iteration:
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.685273

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0543
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01086
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.982437
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.950106
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.919257
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.892894
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.879408
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.857863
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.839308
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.824915
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.816231
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.811966
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80012
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.795398
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792609
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.782251
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.777866
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.773218
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.771072
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.765034
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.755752
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.756436
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.754676
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.756912
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.75627
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.755713
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.754426
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.752635
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.752463
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.755562
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.755019
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.755778
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.756688
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.756938
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.752463

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06034
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.266667	validation_0-mlogloss:1.01623
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.986024
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.958866
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.937967
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.912436
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.89392
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.880374
[8]	validation_0-merror:0.25	validation_0-mlogloss:0.860424
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.848027
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.835132
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.822265
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.810954
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.800839
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.790555
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.78593
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.7814
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.775142
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.774941
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.767754
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.760444
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.758766
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.75693
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.751384
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.750421
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.75077
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.744047
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.741664
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.737007
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.738292
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.740296
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.734165
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.73253
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.736933
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.734105
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.738225
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.734373
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.732921
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.73253

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05754
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01915
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.984733
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.952707
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.926956
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.901495
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882055
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864108
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.845044
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.833642
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.822258
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.804222
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.789725
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.7772
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.769304
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.762711
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.752951
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.749224
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.745052
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.738348
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.734522
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.731549
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.726787
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.723404
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.719367
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.716276
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.712421
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.711853
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709741
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707589
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.706112
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.703933
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.70429
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.702201
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.704847
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.7052
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.704935
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.703739
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.701355
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.701789
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.701986
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.704702
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.702465
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.704392
Stopping. Best iteration:
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.701355

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05229
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01646
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.979196
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.953481
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.929077
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.906228
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.887474
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.871758
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.85893
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.849533
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.834379
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.819587
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.807881
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.797529
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.792796
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.788509
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.784689
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.781077
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.78189
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.78139
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.77827
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.77686
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.77812
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.776899
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.773105
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.773287
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.77397
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.774969
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.776802
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.77902
Stopping. Best iteration:
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.773105

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06045
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02357
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985948
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.960556
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.930456
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.911208
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891326
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.874821
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857014
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.850705
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.837613
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.829544
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.820578
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.81637
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.800666
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.801289
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.793661
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.787025
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.788319
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.783941
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.781115
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.775949
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.770814
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.762066
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.755086
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.749399
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.746228
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.745974
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.743339
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.741776
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.739979
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.738076
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.739046
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.736526
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.734292
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.730683
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.731433
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.73207
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.732238
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.733101
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.731845
Stopping. Best iteration:
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.730683

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05968
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03532
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00476
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971807
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950962
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.930523
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.911932
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.894746
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.875178
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.860044
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.850288
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.838409
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.825625
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.814433
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.80482
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795725
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.784448
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.775635
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.772128
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.769718
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.760339
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.755377
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.751216
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.746863
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.74005
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.738415
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.736239
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.735295
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.730039
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.725746
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.723548
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.719634
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.716801
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.714084
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.714653
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.716872
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.716147
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.714852
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.717843
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.714084

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06076
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02616
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.988914
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.962209
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.930219
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907992
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.885947
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864857
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.845497
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.828928
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.812438
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.802974
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.794574
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.786758
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.784631
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.777354
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.773521
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.764295
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.763076
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.75817
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.752001
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.746087
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.74636
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.747311
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.748003
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.745909
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.744924
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.743445
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.739245
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.737316
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.73762
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.736669
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.736479
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.736478
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.738703
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.740753
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.740929
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.744142
[38]	validation_0-merror:0.4	validation_0-mlogloss:0.741494
Stopping. Best iteration:
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.736478

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06357
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02557
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.989965
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.971004
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.949519
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926779
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.903824
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.88626
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.866234
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.85117
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.832062
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822113
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810819
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.797673
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786908
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787213
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.779237
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769714
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.762912
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.759029
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.756431
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.748605
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.748792
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.741189
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.73981
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.74266
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.7417
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.737799
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.735166
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.731808
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.728693
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.726215
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.723747
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.725464
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.721566
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.727788
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.728734
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.727472
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.726707
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.727739
Stopping. Best iteration:
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.721566

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04985
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02144
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.991776
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.956545
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932469
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907475
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.890373
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873985
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857732
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.84073
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830275
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.816277
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.805195
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798863
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.78804
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.778307
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.771483
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.762407
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.760829
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.75774
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.753282
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.751126
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741432
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.73968
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.735343
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.730695
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.728024
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.72921
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.73161
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.72901
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.724966
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.719692
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.714129
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.712828
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.711415
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.706907
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.705379
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.703951
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.705935
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.70089
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.702004
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.696502
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.696322
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.695376
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.694838
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.695203
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.69591
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.692596
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.689239
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.689812
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.689965
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.691396
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.690601
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.692496
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.689239

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06058
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01813
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.988302
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.957085
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929134
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.908955
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.893559
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.871376
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.852992
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.835991
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.823378
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815021
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.802869
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798224
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79502
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787803
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.784564
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.781091
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.77646
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.771834
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.762395
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.758842
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.753679
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.754637
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.755231
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.75436
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.750191
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.748111
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.747709
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.749205
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.751164
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.748886
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.748974
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.748495
Stopping. Best iteration:
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.747709

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05943
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02208
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995979
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.971999
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.950715
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.930325
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.91086
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.897951
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.877892
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.865933
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.854622
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.841962
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.830237
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.820719
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.811068
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.803712
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.797468
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.788038
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.785033
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.782049
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.773342
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.772647
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.768894
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.761741
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.760603
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.761556
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.757748
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.755161
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.749224
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751452
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.75302
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.746924
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.744852
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.747027
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.742652
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.747409
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.74349
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.742286
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.742041
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.744254
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.740327
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.739141
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.737305
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.737106
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.743203
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.74058
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.740683
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.740143
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.740277
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.737106

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02074
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.986588
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.956589
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.930673
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.907203
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.887911
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.870963
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.852791
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.840222
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.829448
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.8117
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.798261
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.785429
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.775548
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.768537
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.760508
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.751797
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.746629
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.740594
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.731083
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.72729
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.722526
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.718961
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.715224
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.711963
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.710377
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.705342
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.703963
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.701371
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.700231
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.698321
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.695126
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.692988
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.696132
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.696165
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.695443
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.69524
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.696954
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.692988

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05265
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01558
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978851
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.952065
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925596
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.900962
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.882212
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.864457
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.852066
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.841051
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.827334
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.815802
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.811354
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.804136
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.79765
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.790857
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.789676
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.784355
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.779449
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.780133
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.775293
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.772825
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.772821
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.77065
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.764696
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.765068
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.763272
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.762619
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.764528
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.764257
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.76687
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.7666
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.768521
Stopping. Best iteration:
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.762619

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06238
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02603
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990491
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.958929
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928603
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907252
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.884248
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.868184
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.849983
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.840095
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.831483
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.82229
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.81372
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.805907
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791907
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789032
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.779969
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.772336
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.771652
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.765336
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.763866
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.764325
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.759607
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.75409
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.745426
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.744335
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.743539
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.740592
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.736239
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.733663
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.73162
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.733092
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.731187
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.7277
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.72841
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.730125
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.732051
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.730998
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.729126
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.7277

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.0623
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.02338
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.992365
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.954735
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.9327
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906287
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.887073
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.867334
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.847773
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.828313
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.820096
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.809447
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.799698
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.788016
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.778022
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.770139
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.75916
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.754072
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.753227
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.751589
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.742774
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737245
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.729038
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.722208
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.715106
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.710588
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.706073
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.710314
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.708964
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.703946
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.69811
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.69623
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.69287
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.691576
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.693852
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.696389
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.696463
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.693286
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.691454
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.687281
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.689483
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.687037
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.685594
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.685329
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.6855
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.686904
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.68864
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.68889
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.689502
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.685329

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05823
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02329
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.984102
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957852
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.925844
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.904294
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.881253
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.866301
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.845254
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.829793
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.818112
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.811118
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.804646
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.795157
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.788827
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.777057
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.772355
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.764735
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.764527
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.761655
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.761549
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.760777
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765556
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.766984
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.768497
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.767703
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.765637
Stopping. Best iteration:
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.760777

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05513
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01464
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.979554
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.955579
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.924339
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908388
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.888169
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.875165
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.855221
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.84247
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.829409
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820935
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.808093
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.799335
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790564
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791132
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.782587
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.779509
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.773032
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.770536
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.773855
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.774706
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.774804
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.768464
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.766976
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.772914
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.77046
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.772931
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.772675
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.772631
Stopping. Best iteration:
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.766976

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04253
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00666
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.977185
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.947605
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928898
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.899647
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.877195
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.854368
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.839295
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.825631
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.813089
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.803375
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.792448
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.778206
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.770818
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.761167
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.75254
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.747703
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.744853
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.741575
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.740094
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.7393
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.731634
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.728
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.727341
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.726735
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.720074
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.723256
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.724291
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.722496
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.719114
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.715437
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.711114
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.710704
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.710563
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.71231
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.709201
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.708847
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.710156
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.71039
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.715572
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.715688
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.717265
Stopping. Best iteration:
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.708847

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05376
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00642
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.98092
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.950135
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.920489
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.889873
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.868578
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.851643
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.830191
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.818185
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.808403
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.806815
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.799803
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.793639
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788801
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.781828
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.782921
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.784468
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.783248
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.776852
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.76972
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.768151
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.763113
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.764443
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.766258
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.763895
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.76523
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.766206
Stopping. Best iteration:
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.763113

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04909
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01017
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.984592
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962646
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.93375
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914347
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.896426
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.886121
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.868305
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.856651
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.849287
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.842271
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.827555
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.817943
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.808189
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.80434
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.800087
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.793769
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.787152
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.783398
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.782277
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.783932
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.781397
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.780619
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.77904
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.782175
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.780383
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.784693
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.784701
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.780752
Stopping. Best iteration:
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.77904

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05008
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01032
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.975211
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.942256
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.914651
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.887963
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.866584
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.84479
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.830959
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.823732
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.812377
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.792417
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.782814
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.77234
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.766449
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.757856
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.75013
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.746997
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.741856
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.736522
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.731912
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.72664
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.725694
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.720891
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.718539
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.717525
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.716582
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.714585
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.717435
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.715383
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.709775
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.712346
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.711704
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.714344
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.71226
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.71181
Stopping. Best iteration:
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.709775

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05822
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02296
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.987245
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.962878
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.933829
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.905478
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.887471
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.869874
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.853104
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.844256
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.831649
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823607
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.812638
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808202
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.803461
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.802207
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.797192
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.793077
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.799067
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.801438
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.805788
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.804837
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.807032
Stopping. Best iteration:
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.793077

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06096
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01964
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.981046
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.954065
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.928935
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.901184
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.878974
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.865746
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.854995
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.844416
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834907
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.831299
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.825969
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.823813
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.817778
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.813481
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.80683
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.80148
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.802466
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.805791
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.806767
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.807689
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.808325
Stopping. Best iteration:
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.80148

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05367
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0143
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.983791
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.951352
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.928522
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.904027
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.88693
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863628
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.844563
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.833917
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.826402
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.812908
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.802381
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.788958
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.775804
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.768138
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.760124
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.75152
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.748836
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.747604
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.738003
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.73255
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.724484
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.716072
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.708601
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.705034
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.69767
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.699668
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699599
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.691967
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.687789
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.684175
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.684884
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.685226
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.684637
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.686563
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.687422
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.684175

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05958
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02531
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987039
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.961723
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928946
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.905616
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.885403
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.870508
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.850366
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.834392
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.820156
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807496
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.799505
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.792455
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.789361
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.782009
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.77868
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.773148
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.771402
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.76922
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.767417
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.765415
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767394
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.769242
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.768871
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.766224
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.766891
Stopping. Best iteration:
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.765415

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.0539
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.25	validation_0-mlogloss:1.0102
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.975474
[3]	validation_0-merror:0.25	validation_0-mlogloss:0.960256
[4]	validation_0-merror:0.25	validation_0-mlogloss:0.9321
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.915733
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.896569
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885878
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.86388
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.853825
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.840009
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.829609
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.817646
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.800815
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.792204
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.795588
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.785349
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.773868
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767539
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762268
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.758458
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.757116
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.75515
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.748404
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.743299
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.748061
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.748094
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.74709
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.743126
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.743553
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.74256
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.7412
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.737093
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.740407
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.741358
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.748638
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.74713
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.743972
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.737093

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04504
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01025
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.978832
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.946472
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.927547
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903764
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.885482
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.862821
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.846171
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.827891
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.814216
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.802217
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.792288
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.781301
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.771406
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.762017
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.752472
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.744164
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.741
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.741749
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.737862
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.731312
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.724241
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.721011
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.714146
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.712435
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.706068
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.710007
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.710047
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.709649
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.703151
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.700344
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.698244
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.699213
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.697904
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.695956
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.694694
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.692321
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.692649
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.688534
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.691504
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.688494
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.688763
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.688378
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.686656
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.68758
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.686861
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.683517
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.682242
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.683727
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.684685
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.688278
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.686102
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.689516
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.682242

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05024
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00883
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.982673
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951023
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.920069
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.89648
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.878992
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.862008
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.842644
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.826656
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.818682
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.813456
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.806424
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.799877
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.795942
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.78896
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.787716
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.785603
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.781993
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.776202
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.771187
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.772584
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.768525
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.770072
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.775367
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.774252
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.77377
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.776792
Stopping. Best iteration:
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.768525

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05486
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01213
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.983068
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.965857
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.932002
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.910413
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.893966
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.878909
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.862466
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.852981
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.846612
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.835595
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.822979
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.814239
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.803996
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.805945
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.798717
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.785209
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.785451
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.78245
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.780448
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.782933
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.781156
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.780151
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.77826
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.780341
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.778795
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.777012
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.769723
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.770673
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.7723
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.773646
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.770432
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.775151
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.769723

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05327
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01487
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.9759
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.948841
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.918652
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.895757
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.876043
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.859667
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.844285
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.837048
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.825584
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.811361
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.799912
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.791167
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.782213
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.773195
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765058
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.759991
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.758368
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.75538
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.750671
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.747176
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.748231
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.742696
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.741391
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.739109
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.73715
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.735368
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.734723
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.731443
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.731933
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.732754
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.73286
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.733284
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.731747
Stopping. Best iteration:
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.731443

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05376
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.018
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98199
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957812
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.926232
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.902773
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882169
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.86483
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.849448
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.837214
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.823973
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812791
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.802634
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.798652
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79083
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.783699
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.783131
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.778912
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.781233
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.777746
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.778363
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.778457
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.774416
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.7737
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.773554
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.776237
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.778438
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.784836
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.783242
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.786798
Stopping. Best iteration:
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.773554

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05676
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02229
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.983601
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.953458
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.922151
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.897783
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.874651
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.861708
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848241
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.840027
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.830173
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.8195
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80549
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.802011
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.792683
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.785956
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.773772
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767435
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.765407
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.760916
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.7627
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.7603
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.757995
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.753642
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.748967
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.747721
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.74756
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.747695
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.746816
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.748821
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.75028
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.752889
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.75511
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.755123
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.746816

[0]	validation_0-merror:0.55	validation_0-mlogloss:1.06288
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02231
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989029
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.958247
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.935586
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.909352
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.892387
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.872465
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857087
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.84458
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.837498
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.825716
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.813962
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.80956
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.794899
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784296
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773728
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.766043
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.764197
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.760101
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.751258
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747773
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.742223
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.729004
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.722664
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.723168
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.720331
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.721558
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.722407
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.715742
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.712116
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.707981
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.706259
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.70413
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.705727
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.707553
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.706617
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.70482
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.705895
Stopping. Best iteration:
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.70413

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02349
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98671
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962044
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.933128
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.910284
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.887263
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.866841
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.848512
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.830017
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814665
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.805357
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80009
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.79152
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.786248
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.781609
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.778354
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.775501
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.775485
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773218
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767077
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.761614
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.761595
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.762062
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.761613
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.759334
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.759239
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.755094
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.756246
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.759777
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.759859
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.758646
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.755206
Stopping. Best iteration:
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.755094

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.0608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.0188
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.985376
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.966249
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.939198
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917146
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.898598
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.88545
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.865668
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.85199
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.833066
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.825041
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.808944
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.795544
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.782646
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.785557
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775437
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765261
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759887
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.7525
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.745034
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.743237
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.739878
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.733925
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.731013
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.733633
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.734176
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.730516
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.726332
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.723158
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.719949
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.716685
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.713488
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.717227
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.717142
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.723773
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.724365
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.721107
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.713488

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.04922
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.0117
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.985686
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.950275
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.930285
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.906281
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.888361
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.866383
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.847992
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.834391
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.82161
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.808994
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.798211
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.790219
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.781471
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.770838
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.759306
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.752454
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.748894
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.750087
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.742453
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.742033
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.735767
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.731383
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.728372
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.7234
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.716945
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.719903
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.718684
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.718711
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.714599
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.70908
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.705662
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.704338
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.703414
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.700184
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.69817
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.698305
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.700211
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.699241
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.701911
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.70163
Stopping. Best iteration:
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.69817

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04811
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00504
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.976018
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.947273
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.917054
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.890916
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.874484
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.855954
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.834431
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.820919
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.81279
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.806927
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.794708
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.788903
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.786614
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.777616
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.776865
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.775363
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.77418
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.770003
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.758823
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.758457
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.755624
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.756444
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.758623
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.759262
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755131
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.752667
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.749426
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.747173
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.749605
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.755198
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.753408
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.755612
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.757861
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.747173

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05668
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01232
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.984945
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.958872
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.937357
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.913216
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.892686
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.877905
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.856041
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.844679
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.8352
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.824769
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.810897
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.800369
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.789076
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.787375
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.783819
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.779851
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.778641
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.773188
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.769091
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.769722
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.763289
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.760587
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.754798
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.754855
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.751134
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.749539
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.746154
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.742884
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.74162
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.739134
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.738353
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.7408
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.737852
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.744546
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.744591
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.744532
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.744888
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.746234
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.737852

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05235
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01363
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.975992
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.945101
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.919093
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.892248
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870076
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.852837
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.835767
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.827862
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.813774
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.796374
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.785581
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.773061
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.765274
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.75795
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.750162
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.74417
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.735483
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.728503
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.721407
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.71719
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.717702
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.713182
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.708559
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.704934
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.699934
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.697828
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.695735
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.691963
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.689881
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.688704
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.686997
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.68677
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.687093
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.688147
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.689484
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.688719
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.688298
Stopping. Best iteration:
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.68677

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.054
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01818
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.979973
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.953468
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.928314
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903275
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.880604
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.860993
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.849102
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.837617
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.823387
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.808988
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.799266
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.7871
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786156
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.777656
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77612
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.776107
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.772676
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.769339
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.765378
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.763269
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.762067
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.762187
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.761108
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.762036
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.763783
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.76655
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.765345
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.769849
Stopping. Best iteration:
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.761108

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06407
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02871
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.993858
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967573
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.94262
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.916744
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.895255
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.87494
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.852593
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.848758
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.83415
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.818939
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.804813
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.798075
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.782121
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.775437
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.770158
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.766974
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.762405
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.761022
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.760007
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.760098
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.760748
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.756822
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.753689
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.752559
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.75177
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.753371
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.751886
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.750391
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.75347
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.753791
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.753646
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.751368
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.752712
Stopping. Best iteration:
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.750391

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06392
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0368
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00304
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971498
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.949281
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.923806
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.904884
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.888021
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.872253
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.852631
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842276
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.827972
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.816661
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.808923
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797424
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.789725
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.78086
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.772325
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.766612
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.763381
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754406
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.747512
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.742616
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.740352
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.734098
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.736047
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.733926
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.732742
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.733495
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.727184
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.725439
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.72294
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.722267
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.719151
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.720992
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.725664
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.72654
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.724914
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.723884
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.719151

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0614
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0251
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.986762
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.963383
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.927977
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906811
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885457
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.867348
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848902
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829646
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.813848
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.802564
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.795235
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.786859
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.780427
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.773568
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.769799
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.759872
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.760517
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.755856
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.751435
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.74533
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.746771
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.749367
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.752733
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.750882
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.747512
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.74533

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02467
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.988956
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966786
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940423
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.920704
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.90252
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.887261
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.869395
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.860518
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.843894
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.833448
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.818251
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.803316
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792835
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.795061
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.787353
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.777947
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.772566
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.767163
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.761684
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.75619
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754412
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.74797
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.746189
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.746941
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.748287
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.745478
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.744756
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.738055
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.734316
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.728894
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.726702
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.729951
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.731661
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.734161
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.733081
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.730123
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.726702

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04991
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01553
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.989895
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.953361
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.930545
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.904305
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.882499
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.866631
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.854143
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.838022
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.825661
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.814231
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.802127
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.793323
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.784832
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.776666
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.770652
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.763978
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.762041
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.758195
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.75245
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747486
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.741642
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.738161
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.733798
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.729705
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.72507
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.728006
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.727557
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.726627
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.723702
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.719146
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714994
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.712011
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.710503
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.707224
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.703845
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.700894
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.702075
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.693579
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.695125
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.691421
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.690068
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.690497
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.69051
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.689064
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.690213
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.688283
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.687907
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.685795
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.686889
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.688203
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.683184
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.686612
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.683113
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.681817
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.683839
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.684914
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.686818
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.687816
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.6891
Stopping. Best iteration:
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.681817

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0543
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01086
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.982609
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.950266
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.919199
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.89286
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.879384
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.857868
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.839396
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.825033
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.816341
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.811198
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.799409
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.794704
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.791917
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781616
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.777263
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.77435
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.772155
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.766539
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.758338
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.758458
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.756739
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.759575
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.758947
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.75847
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755395
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.752779
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.751078
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.752151
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.754723
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.753516
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.754304
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.755289
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.751078

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06034
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.266667	validation_0-mlogloss:1.01623
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.986024
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.958866
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.937967
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.912436
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.89392
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.880374
[8]	validation_0-merror:0.25	validation_0-mlogloss:0.860424
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.848027
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.835132
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.822265
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.810954
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.800839
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.790555
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.78593
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.7814
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.775142
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.774941
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.767754
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.761294
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.760856
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.756336
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.750839
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.749913
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.750296
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.743567
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.740985
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.736964
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.737771
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.739807
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.735894
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.733981
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.738053
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.735219
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.741312
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.737515
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.736085
Stopping. Best iteration:
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.733981

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05828
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02044
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.98589
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.954319
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.930195
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.907974
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.889959
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.871016
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.852886
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.841817
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830121
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.81105
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.796115
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.783662
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.774334
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.767439
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.758762
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.75563
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.751251
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.744567
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.739165
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.734696
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.731799
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.728319
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.724234
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.720331
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.716525
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.715725
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.713115
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.710183
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.708873
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.709772
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.709862
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.709429
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.712244
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.712114
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.708873

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05135
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01518
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978093
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.95441
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.930047
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.906468
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.890185
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.87837
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.867499
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.859216
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.844003
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.830101
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.821255
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.814411
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.809203
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.802758
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.799871
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.797132
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.79806
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.797571
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.794637
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.791209
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.792122
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.791883
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.78526
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.785422
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.78341
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.783428
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.783776
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.784527
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.788759
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.792138
Stopping. Best iteration:
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.78341

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06045
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02357
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985948
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.960556
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.930456
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.911208
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891326
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.874821
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857014
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.850705
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.837613
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.829544
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.820578
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.81637
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.800618
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.801236
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.794062
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.786399
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.787843
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.785611
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.781939
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.778748
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.774751
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.766103
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.760291
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.754824
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.752523
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.751023
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.746927
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.747498
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.749423
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.749481
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.748775
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.747022
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.746927

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05968
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03532
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00476
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971807
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950962
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.930523
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.911932
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.894746
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.875178
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.860044
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.850288
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.838409
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.825625
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.814433
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.80482
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795725
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.784448
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.775635
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.772128
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.769718
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.760339
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.755377
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.751216
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.746863
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.74005
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.738415
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.736239
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.735295
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.730039
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.725746
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.723548
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.719634
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.716801
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.714084
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.714653
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.716872
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.716147
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.714852
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.717843
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.714084

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06076
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02616
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.988914
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.962209
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.930219
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907992
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.885947
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864857
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.845497
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.828928
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.812438
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.802974
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.794574
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.786758
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.784631
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.777354
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.773521
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.764295
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.763076
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.75817
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.752001
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.746087
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.74636
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.747311
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.748003
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.745909
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.744924
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.743445
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.739245
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.737316
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.73762
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.736669
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.736479
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.736478
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.738703
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.740753
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.740929
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.744142
[38]	validation_0-merror:0.4	validation_0-mlogloss:0.741494
Stopping. Best iteration:
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.736478

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06357
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02557
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.989965
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.971004
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.949519
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926779
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.903824
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.88626
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.866234
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.85117
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.832062
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822113
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810819
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.797673
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786908
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787213
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.779237
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769714
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.762912
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.759029
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.756431
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.748605
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.748792
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.741189
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.73981
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.74266
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.7417
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.737799
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.735166
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.731808
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.728693
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.726215
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.723747
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.725464
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.721566
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.727788
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.728734
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.727472
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.726707
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.727739
Stopping. Best iteration:
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.721566

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04985
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02144
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.991776
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.956545
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932469
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907222
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.890108
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873721
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857435
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.839774
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828504
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.814436
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.803286
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.796906
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.786609
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.776944
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.770115
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.761232
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759483
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.756284
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.751766
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.746936
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.737301
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.735553
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.731558
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.725099
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722399
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.725376
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.727839
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.72535
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.72148
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.716107
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.710467
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.708932
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.707389
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.702815
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.700039
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.698655
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.700236
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.695205
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.696346
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.690966
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.690451
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.690024
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.689324
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.689565
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.689987
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.689256
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.685818
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.68549
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.68548
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.686044
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.685187
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.687143
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.685531
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.684518
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.687765
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.688246
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.691054
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.690959
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.688975
Stopping. Best iteration:
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.684518

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06058
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01813
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.988302
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.957085
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928006
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.907865
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.892476
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.870296
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851932
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.83495
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.822321
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.813969
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.801821
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.797143
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.793943
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.786792
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.78351
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.780661
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.776094
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.771478
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.761935
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.758358
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.75333
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.754311
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.75495
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.755443
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.752227
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.750054
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.749707
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.751143
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.753127
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.750951
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.750988
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.750504
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.749707

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05943
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02208
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995979
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.971999
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.950715
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.930325
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.91086
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.897951
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.877892
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.865933
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.854622
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.841962
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.830237
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.820719
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.811068
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.803712
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.797468
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.788038
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.785033
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.782049
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.773342
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.772647
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.768894
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.761741
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.760603
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.761556
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.757748
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.755161
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.749224
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751452
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.75302
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.746924
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.744852
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.747027
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.742652
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.747409
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.74349
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.742286
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.742041
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.744254
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.740327
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.739141
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.737305
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.737106
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.743203
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.74058
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.740683
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.740143
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.740277
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.737106

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02074
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.986588
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.956589
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929572
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906181
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.887641
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.870691
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853173
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.841192
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.83032
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.812724
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.799266
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.786443
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.777422
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.768216
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.759947
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.751255
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.746375
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.739874
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.732031
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.728063
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.722645
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.718273
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.714599
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.709195
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.707729
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.706343
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.704434
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.703058
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.702133
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.697973
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.694864
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.692852
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.6952
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.695877
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.695762
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.696409
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.698767
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.692852

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05265
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01558
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978851
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.952065
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925596
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.900962
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.882212
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.864457
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.852105
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.841095
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.827382
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.816307
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.811829
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.805977
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.799515
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.792785
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.791596
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.788634
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.78505
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.783196
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.782107
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.779836
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.779341
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.777558
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.775188
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.774925
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.775775
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.778248
[28]	validation_0-merror:0.416667	validation_0-mlogloss:0.778399
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.778145
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.777117
Stopping. Best iteration:
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.774925

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06238
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02603
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990491
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.958929
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928603
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907252
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.884248
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.868184
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.849983
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.840095
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.831483
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.82229
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.81372
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.805907
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791333
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.788457
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.781146
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.772821
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.771372
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.765065
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.764274
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.764735
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.760001
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.751115
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.740521
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.739295
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.739349
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.736432
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.734237
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.732704
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.732814
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.734342
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.732388
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.728547
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.730057
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.730667
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.73043
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.729295
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.728844
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.728547

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06135
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02496
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998763
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965218
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.944513
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.920399
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.902392
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.886736
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.866358
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.853756
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.842685
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.827903
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.81593
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.808396
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.796246
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.782576
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775284
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.76471
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759221
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754103
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748132
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.742378
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.7344
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727535
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.718836
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.712547
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.705758
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.703659
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.700372
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.692231
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.689196
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.684654
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.67862
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.677722
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.677519
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.678132
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.677912
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.672455
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.672114
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.670081
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.665611
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.665366
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.660416
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.65918
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.660125
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.658952
[46]	validation_0-merror:0.25	validation_0-mlogloss:0.660561
[47]	validation_0-merror:0.25	validation_0-mlogloss:0.656657
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.655061
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.659275
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.656778
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.660997
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.66094
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.662635
Stopping. Best iteration:
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.655061

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05716
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02075
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.9857
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.960764
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.933283
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.912794
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.892119
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.874686
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.857947
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.840138
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826236
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.813742
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.798427
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79209
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.786674
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.777744
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.773828
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767502
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.765677
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.762266
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.759534
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.754247
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.755064
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.752659
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.754987
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.750184
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.743576
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.738707
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.733708
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.7352
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.736537
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.734501
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.734041
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.729522
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.731821
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.732565
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.726118
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.727891
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.727164
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.724308
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.723352
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.71962
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.717712
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.713423
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.715754
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.716874
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.721913
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.721222
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.722006
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.713423

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06252
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02418
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.99082
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.967469
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.941718
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.918748
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.897573
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.881387
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.865068
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.851701
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.833665
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.822846
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.811972
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.794606
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.786107
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.783188
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774461
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768584
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757967
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.751017
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.748433
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741655
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.737312
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.728245
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.726733
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.724579
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.722103
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.720502
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.716098
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.710065
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703554
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.697754
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.692518
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.694948
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.692315
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.692136
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.683844
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.679018
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.677722
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.676371
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.67689
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.672556
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.672299
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.66748
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.663753
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.663486
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.66498
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.662787
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.662107
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.661749
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.659612
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.659503
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.655341
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.655331
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.659788
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.657597
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.654624
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.654059
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.652463
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.652913
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.651085
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.656834
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.657715
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.658008
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.65859
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.656515
Stopping. Best iteration:
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.651085

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05432
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02087
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.996762
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.961435
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940231
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918891
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.899607
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.879108
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.862226
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.846767
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834201
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820309
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.808977
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801437
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788053
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.774662
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765651
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.756835
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.752274
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.749395
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.743496
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737617
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.729695
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72454
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.719891
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.711041
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.703669
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.702768
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.703149
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.700639
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.694135
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.689013
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.681853
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.680485
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.677473
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.674325
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.673529
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.675103
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.674657
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.671895
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.669029
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.665934
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.664817
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.665063
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.66105
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.659649
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.657744
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.655002
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.652053
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.652019
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.651153
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.653558
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.650622
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.653888
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.653857
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.653319
[56]	validation_0-merror:0.25	validation_0-mlogloss:0.656879
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.655391
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.650622

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05697
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02122
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994395
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.963677
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939323
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916178
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.899888
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.883509
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.868711
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856286
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.846999
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.840148
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.82791
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.820093
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.812156
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.802739
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.797042
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792494
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785051
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.776768
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.768368
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.762884
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.759002
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.756598
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.75651
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.751069
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.742635
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.739842
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737464
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.73368
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.730713
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.731795
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.726935
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.721763
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.720643
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.720432
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.717595
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.717628
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.717391
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.721183
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.720128
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.721761
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.719117
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.718265
Stopping. Best iteration:
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.717391

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06162
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02419
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.995502
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.968754
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.94702
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.924702
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.902362
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885106
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867463
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856766
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.846775
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.834811
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.823605
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815476
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.805527
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.800097
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.796132
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.789376
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.780517
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.777982
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.769469
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.760247
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.752599
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.742873
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.735599
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.730575
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.723093
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.71966
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.713238
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.708049
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.703093
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.701449
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.694876
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.694468
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.690715
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.6878
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.682389
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.679478
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.678535
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.676874
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.673487
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.673715
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.67261
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.67107
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.66963
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.669819
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.667085
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.66634
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.664238
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.667103
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.665484
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.665376
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.66449
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.666006
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.664238

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05611
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02021
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.986024
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.955173
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.931398
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.907665
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.887346
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.867803
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.85115
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.838875
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826561
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.813539
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.800551
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.786162
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.775912
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.768966
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.762441
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.754427
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.74777
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.739731
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.733763
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.725486
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.724388
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.719259
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.717584
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.710115
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.706508
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.70344
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.700827
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.695763
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.693499
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.688968
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.685934
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.682519
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.67922
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.675142
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.675245
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.672965
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.67428
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.672977
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.67082
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.671748
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.670029
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.671991
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.670677
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.671397
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.669358
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.673325
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.673491
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.672671
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.672491
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.674673
Stopping. Best iteration:
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.669358

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05781
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02599
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.995518
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970909
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.945964
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.924741
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.90338
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.892087
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879878
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.868035
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.858636
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.845897
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.836876
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.828572
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.823106
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.81337
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.806314
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.80081
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.795323
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.78797
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.781255
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.776431
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.774454
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.770518
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.766142
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.762296
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.757865
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.757309
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.754465
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.750174
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.749958
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.74614
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.744054
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.74345
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.739963
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.736319
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.73291
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.729654
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.729462
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.728048
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.727756
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.725334
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.723846
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.722654
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.720907
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.723368
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.721617
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.720674
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.71923
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.718532
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.719837
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.719791
[52]	validation_0-merror:0.35	validation_0-mlogloss:0.720096
[53]	validation_0-merror:0.366667	validation_0-mlogloss:0.722707
[54]	validation_0-merror:0.35	validation_0-mlogloss:0.721492
Stopping. Best iteration:
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.718532

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06798
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03255
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.999221
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.974127
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.950911
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.924384
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.90385
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897919
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.881387
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.875647
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.868499
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.862132
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.856652
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.848903
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.836347
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.828325
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.82033
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.808633
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.798246
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.788938
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.783662
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.775687
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.767539
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.757548
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.751215
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.746775
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.740707
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.737546
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.735824
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.732352
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.731633
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.729537
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.725602
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.721911
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.719578
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.715407
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.712389
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.710547
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.707795
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.70534
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.702024
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.701348
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.698884
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.695988
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.693976
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.693653
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.689472
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.686146
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.684741
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.683301
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.679643
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.677958
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.674849
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.672126
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.67139
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.670509
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.669613
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.669306
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.668616
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.669445
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.668159
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.668721
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.667348
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.666749
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.668536
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.667305
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.667162
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.667257
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.665491
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.665188
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.663763
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.662934
[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.661915
[73]	validation_0-merror:0.283333	validation_0-mlogloss:0.661759
[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.659764
[75]	validation_0-merror:0.283333	validation_0-mlogloss:0.658797
[76]	validation_0-merror:0.283333	validation_0-mlogloss:0.660383
[77]	validation_0-merror:0.283333	validation_0-mlogloss:0.660192
[78]	validation_0-merror:0.283333	validation_0-mlogloss:0.66003
[79]	validation_0-merror:0.283333	validation_0-mlogloss:0.660297
[80]	validation_0-merror:0.283333	validation_0-mlogloss:0.660257
Stopping. Best iteration:
[75]	validation_0-merror:0.283333	validation_0-mlogloss:0.658797

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05895
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02293
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.996971
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967088
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.946102
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.922064
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904718
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.885673
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.867661
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.853671
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.842894
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.82902
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.817396
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.807985
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.795051
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78322
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776105
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.765036
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.760883
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.755999
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748107
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.743103
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.736257
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.729518
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.721718
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.71548
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.710046
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.706172
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.703898
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.698095
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.695054
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.690932
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.686568
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.686023
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.687655
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.687259
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.686714
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.680892
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.679132
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.676952
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.675519
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.675289
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.672247
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.67171
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.67311
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.672988
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.673932
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.667757
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.666339
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.670584
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.66785
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.671501
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.671535
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.673062
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.666339

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02238
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.987566
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.963764
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.936836
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914934
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.893791
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.87582
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.858884
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.840348
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.826694
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.814376
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80081
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.793269
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.791318
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781854
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.777721
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.774118
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.771978
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76807
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.766579
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.761156
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.761273
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.760404
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.76191
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.757612
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.754327
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.750935
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.749924
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.750266
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751285
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.747328
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.749111
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.744723
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.747424
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.751437
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.747378
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.748871
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.744722
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.741364
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.74151
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.741103
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.738345
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.735792
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.738251
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.739587
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.743366
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.741325
[48]	validation_0-merror:0.383333	validation_0-mlogloss:0.74063
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.735792

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06263
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02431
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.990912
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.96761
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.941817
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.918654
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.896115
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.880172
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.863753
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.85144
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.832652
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.821751
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810633
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.793167
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.784348
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78127
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.772589
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768485
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757622
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.750609
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.746817
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.740165
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.735753
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72666
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.725137
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.723678
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722632
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.721031
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.715366
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.718156
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.712436
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.705537
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.700868
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.702278
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.6994
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.700279
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.691623
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.686496
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.683201
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.683101
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.687767
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.68179
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.682471
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.677414
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.67546
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.675215
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.678885
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.675687
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.674927
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.677069
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.674576
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.67332
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.668307
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.670749
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.675764
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.673477
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.672228
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.670776
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.668307

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05336
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02036
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.994915
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.959577
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.940379
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92053
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905109
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.884934
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.868054
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852718
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.840084
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.827706
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.815005
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.806714
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.792799
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.778826
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.770331
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.761343
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.75631
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.752714
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.745042
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.741805
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.733088
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.727925
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.723471
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.713849
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.707076
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.705457
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.706421
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.70447
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.696944
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.692926
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.68413
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.680443
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.676528
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.672696
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.669298
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.668924
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.668805
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.665776
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.663472
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.659448
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.659137
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.66017
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.65658
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.655268
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.652996
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.649691
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.647401
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.647181
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.647457
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.648845
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.646934
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.650422
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.649375
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.649591
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.651272
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.649329
Stopping. Best iteration:
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.646934

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05665
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02369
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.996135
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.965178
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.941482
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.918292
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.901783
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.886428
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.871279
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.858686
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.849382
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.842647
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.830694
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.823129
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.813071
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.803225
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.797806
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.793812
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.786428
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.781738
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.772996
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.764966
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.763623
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.758776
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.760573
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.754768
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.744877
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.739579
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.736964
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.736017
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.736841
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.735799
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.73088
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.727001
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.72558
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.724884
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.722001
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.723259
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.723037
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.726186
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.724299
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.727104
Stopping. Best iteration:
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.722001

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06305
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02647
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.997766
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.973947
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952206
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.928754
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.906727
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.889627
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.871447
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.861491
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.851381
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.83825
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.827581
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.819457
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.811648
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.805379
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.801646
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.79485
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.785678
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.780483
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.771854
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.763641
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.757511
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.752377
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.744818
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.742734
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.735566
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.731612
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.724999
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.721033
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.718089
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.716297
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.709677
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.709202
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.705405
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.703564
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.697193
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.693261
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.692181
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.690287
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.685322
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.684269
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.683032
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.682565
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.682729
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.683609
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.68051
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.678815
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.676442
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.679182
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.675724
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.673639
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.672429
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.67371
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.674495
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.673345
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.670542
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.668644
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.66958
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.6681
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.669822
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.670425
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.668271
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.670662
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.669459
Stopping. Best iteration:
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.6681

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.0217
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.985775
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.95625
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932312
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908889
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.889358
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.868568
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.852844
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.842366
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.830431
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.816214
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.803446
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79017
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.781017
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.769949
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.762426
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.760087
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.753188
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.744479
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.738286
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.730909
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.729148
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.727671
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.722606
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.716179
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.711144
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.709317
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.704177
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.696997
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.694183
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.692302
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.692554
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.689415
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.687423
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.680792
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.679552
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.676177
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.676307
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.676456
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.672875
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.672031
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.666337
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.667498
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.665682
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.666779
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.665036
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.665011
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.666533
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.666006
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.664975
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.668337
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.669933
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.669826
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.668898
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.671214
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.664975

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05674
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02435
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993657
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.968617
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.94356
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.921957
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.903378
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.889204
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.876313
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863351
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.851939
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.838437
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.829885
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.822129
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.814838
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.805002
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.799218
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.793207
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.788728
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.787411
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.780472
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.77549
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.7714
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.766386
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.760459
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.756369
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.751472
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.748281
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.745366
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.742831
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.742243
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.737054
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.734968
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.73375
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.732001
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.729134
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.727996
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.723886
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.720488
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.71967
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.717963
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.716851
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.716055
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.714591
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.714448
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.71518
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.712374
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.713408
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.71241
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.711451
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.71114
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.713626
[52]	validation_0-merror:0.35	validation_0-mlogloss:0.711843
[53]	validation_0-merror:0.35	validation_0-mlogloss:0.714947
[54]	validation_0-merror:0.35	validation_0-mlogloss:0.713873
[55]	validation_0-merror:0.35	validation_0-mlogloss:0.713911
Stopping. Best iteration:
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.71114

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06754
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03172
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.999086
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.973193
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.948428
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.925296
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904734
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895911
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875597
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866759
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.861336
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.854421
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.845888
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.837751
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.829146
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.820934
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.812724
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.801807
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.793245
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.789255
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.779837
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.771485
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.766388
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.759166
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.752089
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.744668
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.738618
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.73525
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.731761
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.726296
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.725127
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.722767
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.719711
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.714275
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.709981
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.706865
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.702744
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.699837
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.697647
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.696012
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.692141
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.690709
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.690725
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.689627
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.687187
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.686714
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.684406
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.684946
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.682701
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.68103
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.680547
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.683066
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.681323
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.681203
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.683286
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.683003
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.680547

[0]	validation_0-merror:0.516667	validation_0-mlogloss:1.06381
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02945
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00198
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.973144
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.952445
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.925539
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.908093
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.889342
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.871853
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.857314
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.846299
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.834117
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.823024
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.813355
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.803427
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.792942
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.785544
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.773839
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.769276
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.764953
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.757704
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.752294
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.746695
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.739445
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.731149
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.72511
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.719285
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.715624
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.713369
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.705559
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.703401
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.698161
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.695448
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.694203
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.693034
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.694832
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.69399
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.687678
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.688856
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.685209
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.68067
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.6813
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.67771
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.677015
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.67865
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.676809
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.677633
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.674779
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.674321
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.675793
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.672766
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.676194
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.675807
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.677551
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.675676
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.674991
Stopping. Best iteration:
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.672766

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01961
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.985933
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.960837
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.933695
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.910256
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.888935
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.871049
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.854284
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.836616
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.822057
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.808009
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.794856
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.787311
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.782148
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.77343
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.769149
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.760517
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759045
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754505
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.753282
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747871
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.746639
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.744067
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.74341
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.738684
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.734847
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.72901
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.726808
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.726146
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.727213
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.725097
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.725333
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.721194
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.724602
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.728238
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.721854
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.724566
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.721276
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.721194

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06649
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02828
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.994897
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.970276
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.947629
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.922254
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.900964
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.883247
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.867361
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.855079
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.835962
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.824609
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.81307
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798118
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.789694
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784698
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775042
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769508
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.760058
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.753703
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749724
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.744526
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.740416
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.730891
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.729256
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.729324
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.72827
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.725257
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.721261
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722049
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.715693
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.7112
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.703204
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.704636
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.701558
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.701699
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.69735
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.694728
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.690591
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.690261
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.693557
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.688297
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.688698
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.685469
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.681987
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.679968
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.683222
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.680304
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.676882
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.677323
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.677277
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.676434
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.671601
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.672749
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.67822
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.675522
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.674885
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.674002
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.671601

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05382
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02112
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.996338
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.963182
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.944067
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.926373
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.909637
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.889251
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.873674
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.858377
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.846163
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.832998
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.821008
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.813914
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79911
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.785886
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.77736
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.769833
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.764898
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.761072
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.753184
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.748626
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.739982
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.733436
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.731838
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.721683
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.716277
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.714039
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.714655
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.712795
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.705511
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.700738
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.693349
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.690788
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.688065
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.683877
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.681904
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.683288
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.686458
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.682884
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.68085
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.676907
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.675618
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.676415
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.672644
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.670821
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.671554
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.666019
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.662267
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.663821
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.663072
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.663959
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.661919
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.664238
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.66326
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.661702
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.664292
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.663268
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.665709
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.662688
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.664289
Stopping. Best iteration:
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.661702

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05706
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02414
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995372
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.967106
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.944108
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.920582
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904387
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.88731
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.871715
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.853452
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.843979
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.838728
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.826416
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.819054
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.808133
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.798604
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.794042
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.789143
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.781529
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.776292
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.768161
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.760146
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754133
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.7491
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.748899
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.742941
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.733872
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.73183
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.728991
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.729634
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.731554
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.730888
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.725986
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.720117
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.719027
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.718238
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.716515
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.719465
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.718577
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.720728
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.7192
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.719887
Stopping. Best iteration:
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.716515

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06305
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02647
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.997766
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.973947
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952206
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.93074
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.909795
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.892737
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.873362
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.863251
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.852899
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.8412
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.830499
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.824841
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.81807
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.811723
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80659
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.799663
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.792231
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.786944
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.781543
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.774877
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.768525
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.758487
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.75074
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.748679
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741342
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.737421
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.729871
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.725253
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.722166
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.716794
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.710497
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.709982
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.705685
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.704377
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.696979
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.692552
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.691525
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.689878
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.685799
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.686365
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.68458
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.683557
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.684177
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.682952
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.681607
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.679563
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.676426
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.678248
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.676855
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.676753
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.67687
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.678083
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.676426

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05867
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02255
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.988713
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.958933
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.934747
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.911878
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891254
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.872857
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.856962
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.84635
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.834296
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.82035
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.809513
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.795757
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786486
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.775396
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.76841
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.763001
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.756087
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.747534
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.740802
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.733951
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.732263
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.72895
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.724634
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.717754
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.712668
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.710114
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.705185
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.696245
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.694099
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.690595
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.689247
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.68665
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.682793
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.679075
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.676808
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.672702
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.672988
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.672728
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.671794
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.672016
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.670821
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.671558
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.667814
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.66776
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.665159
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.664512
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.66579
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.666051
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.664436
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.661905
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.660072
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.660355
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.658651
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.658227
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.655778
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.654347
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.655341
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.653384
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.652966
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.653437
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.65268
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.652178
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.65234
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.651602
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.651035
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.650829
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.651762
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.653286
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.653545
[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.652985
[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.654311
Stopping. Best iteration:
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.650829

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05705
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02725
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996394
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.970504
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.943641
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.922253
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.903917
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.885527
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87216
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.863664
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852815
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.842987
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.830289
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.822958
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.816411
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.807535
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800943
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.796302
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.791193
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.785979
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.779035
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.773644
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.771141
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.765929
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.76143
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.759498
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.753651
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.749155
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.746189
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.74434
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.741457
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.744064
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.741441
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.742412
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.743367
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.74229
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.741263
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.739053
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.736523
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.7348
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.735321
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.734304
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.734432
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.735245
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.736622
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.735931
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.735059
Stopping. Best iteration:
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.734304

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03114
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997493
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971687
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.949147
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926288
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.906025
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.897354
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.877075
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.867212
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.861373
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.853273
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.847011
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.838395
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.829799
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.821428
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80788
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.798923
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.787553
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.781634
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.774877
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.767796
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.758465
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.752767
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.742447
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.741412
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.7356
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.734842
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.73017
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.724781
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.723128
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.720345
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.716377
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.71296
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.708542
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.706157
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.702202
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.700756
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.697372
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.694432
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.692468
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.688888
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.686399
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.682797
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.681813
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.68018
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.678321
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.677224
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.674945
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.672749
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.672233
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.672294
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.670973
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.668669
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.668709
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.668132
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.666096
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.667333
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.665396
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.664714
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.664247
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.665093
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.66404
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.663305
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.663869
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.662517
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.661757
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.660611
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.661524
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.660197
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.661174
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.663605
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.667166
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.667426
[74]	validation_0-merror:0.266667	validation_0-mlogloss:0.667008
Stopping. Best iteration:
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.660197

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06586
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03794
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.00958
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.97925
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957714
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.929205
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.911755
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.893746
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.876077
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.859224
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.847055
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.835428
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.824027
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.814122
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.804154
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.792695
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.783578
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.772915
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.767361
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.762663
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.753956
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.747394
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.741385
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.733883
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.724728
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.724303
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.720243
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.717431
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.713343
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707554
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.705355
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.700172
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.697294
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.697926
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.696809
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.700527
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.698955
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.697709
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.698738
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.696866
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.696809

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02012
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.986396
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.961404
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.93338
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.912543
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.891775
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.873913
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.856239
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.839578
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.824517
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812101
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.800268
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.791726
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786996
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.778574
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.77378
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767481
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.765886
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.759826
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.755694
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.750021
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.749648
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.747032
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.748968
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.74393
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.740406
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.736147
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.733044
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.73172
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.731247
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.728285
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.728325
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.724814
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.728017
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.73154
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.727371
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.730242
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.729953
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.724814

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06617
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02796
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.994569
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.972002
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.949225
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92622
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.903872
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.886134
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.871456
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.858943
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.840263
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.828555
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.814042
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.799046
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788329
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.787212
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.779588
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.770705
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.762179
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.755639
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.752258
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.744134
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740083
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.728187
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.727368
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.727927
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.727401
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.72561
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.722165
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.724031
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.716916
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.714037
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.711534
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.714469
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.711155
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.717803
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.713875
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.711804
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.710174
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.712887
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.71078
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.707397
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.708128
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.704184
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.702005
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.69895
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.70334
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.701013
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.697739
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.700411
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.699146
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.697718
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.692463
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.694454
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.701469
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.700825
[56]	validation_0-merror:0.333333	validation_0-mlogloss:0.700123
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.700235
Stopping. Best iteration:
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.692463

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0559
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02377
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.998034
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965322
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.945261
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.926622
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.90522
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.88749
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.875482
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.860173
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.847876
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.834289
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.824682
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.816172
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.80214
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788462
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780817
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773388
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.769992
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.767683
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759529
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.753514
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745037
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.739393
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.735239
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.728557
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.722672
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.720895
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.719698
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.717027
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.711986
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.708308
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.701707
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.697216
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.694952
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.69119
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.687485
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.681158
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.682068
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.678393
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.679475
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.673526
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.67258
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.673581
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.672367
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.670816
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.6687
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.663209
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.66113
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.662293
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.66197
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.661941
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.65698
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.660624
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.660407
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.657696
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.65996
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.658958
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.65698

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05561
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0207
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.991914
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.962967
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938772
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.916373
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.900625
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.884189
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.867356
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.855871
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.848962
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.843544
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831352
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.822097
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.814238
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.804958
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.801883
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.795165
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.787611
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.779097
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.768193
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.760848
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.756926
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.757043
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.756932
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.751216
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.744158
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.742305
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.739538
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.737801
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.739805
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.739048
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.737551
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.733537
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.732454
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.73165
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.729258
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.731432
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.730687
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.732867
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.73056
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.730878
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.729258

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06405
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02754
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998835
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.975727
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954082
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.93275
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.910768
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.894683
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.875761
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.865636
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.855461
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.843389
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831785
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.826263
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.818333
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.812199
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.80378
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.796062
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.788624
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.786075
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.779819
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.771612
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.763489
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.75326
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74836
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.746523
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.738946
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.736242
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.727995
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.723205
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.721973
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.716461
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.709022
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.708488
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.701928
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.699974
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.699593
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.695685
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.694627
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.693093
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.687247
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.686735
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.682665
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.684826
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.684507
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.683312
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.68139
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.679474
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.68013
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.678831
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.677445
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.677782
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.675005
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.674623
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.676782
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.675502
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.669655
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.670075
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.66958
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.66948
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.671179
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.672727
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.675912
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.677111
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.676768
Stopping. Best iteration:
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.66948

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06376
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03153
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00036
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.970389
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.948081
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.926275
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.905525
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.888706
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.872862
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.861448
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.852603
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.84018
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.827903
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.81288
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.803794
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.793228
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.785559
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.780547
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.772548
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.763885
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.75558
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.750142
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.749132
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.747268
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.74448
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.737798
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.734777
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.730944
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.729639
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722386
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.719538
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.71829
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.715574
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.713097
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.71218
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.711656
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.710661
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.705082
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.704769
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.703669
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.702746
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.704208
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.702272
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.703894
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.704474
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.704934
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.701306
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.699794
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.70051
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.696329
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.69328
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.690703
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.6928
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.692736
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.688896
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.689668
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.689874
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.690247
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.688649
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.68899
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.686201
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.685218
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.684191
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.685321
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.683591
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.68466
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.682455
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.68341
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.68139
[69]	validation_0-merror:0.3	validation_0-mlogloss:0.679306
[70]	validation_0-merror:0.3	validation_0-mlogloss:0.679986
[71]	validation_0-merror:0.3	validation_0-mlogloss:0.680296
[72]	validation_0-merror:0.3	validation_0-mlogloss:0.681974
[73]	validation_0-merror:0.316667	validation_0-mlogloss:0.680374
[74]	validation_0-merror:0.316667	validation_0-mlogloss:0.681384
Stopping. Best iteration:
[69]	validation_0-merror:0.3	validation_0-mlogloss:0.679306

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05826
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03014
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.99829
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969273
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.945041
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.927552
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.910476
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.898388
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.885343
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.874767
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.864249
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.85232
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.83988
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.830197
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.823475
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.814623
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.8053
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.802277
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.796925
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.792369
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.785624
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.783256
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.776804
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.771706
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.768532
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.767185
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.761616
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.759252
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.755796
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.752642
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.750901
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.747646
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.744936
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.744108
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.743972
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.740821
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.738317
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.737511
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.734659
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.732907
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.731938
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.731236
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.733886
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.731554
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.730195
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.729371
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.728235
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.727757
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.727253
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.726626
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.72511
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.726173
[52]	validation_0-merror:0.35	validation_0-mlogloss:0.729221
[53]	validation_0-merror:0.35	validation_0-mlogloss:0.73024
[54]	validation_0-merror:0.35	validation_0-mlogloss:0.730174
[55]	validation_0-merror:0.35	validation_0-mlogloss:0.732028
Stopping. Best iteration:
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.72511

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03114
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997493
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971589
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.948869
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.926473
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905896
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897186
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.876178
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.867455
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.862827
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.856195
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.847116
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.838454
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.826572
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.815467
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.803535
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.794678
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.78556
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.779616
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.774774
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.767351
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.760755
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.752957
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.743625
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.741431
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.734244
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.732792
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.728002
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.7241
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.722902
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.72103
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.716772
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.71331
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.711003
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.708662
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.705388
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.702783
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.701971
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.699566
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.696856
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.694969
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.694708
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.69365
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.692299
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.689581
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.685717
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.682712
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.679488
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.67899
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.677628
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.675222
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.673289
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.671717
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.672178
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.674135
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.672229
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.672537
[58]	validation_0-merror:0.25	validation_0-mlogloss:0.671155
[59]	validation_0-merror:0.25	validation_0-mlogloss:0.672407
[60]	validation_0-merror:0.25	validation_0-mlogloss:0.672676
[61]	validation_0-merror:0.25	validation_0-mlogloss:0.675362
[62]	validation_0-merror:0.25	validation_0-mlogloss:0.673783
[63]	validation_0-merror:0.25	validation_0-mlogloss:0.674721
Stopping. Best iteration:
[58]	validation_0-merror:0.25	validation_0-mlogloss:0.671155

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05848
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03262
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00557
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.973702
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954976
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.932828
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.914959
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.896673
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.878924
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.861521
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849742
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.838361
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.826393
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.819912
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.809429
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.799892
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.790426
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.779439
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.773785
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.768721
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.762244
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.755503
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.750863
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.744161
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.73465
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.733775
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.730005
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.728628
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.72183
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.716518
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.713495
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.708209
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.70623
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.706656
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.704152
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.702842
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.70103
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.69905
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.700468
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.698514
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.69628
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.695723
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.696004
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.694768
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.696767
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.69421
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.695285
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.691158
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.689261
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.691092
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.687631
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.690863
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.688652
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.689843
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.690586
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.688053
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.687631

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05759
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02178
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.988676
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.961503
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934655
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.915013
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.893632
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.872773
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855151
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.837903
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.822877
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.811408
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.800405
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.791776
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.789134
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.781426
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.776396
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.76997
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.768286
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.761554
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.760406
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.754894
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.754831
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.754327
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.75586
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.751435
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.747896
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.743709
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.739483
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.74031
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.740632
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.737372
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.736711
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.734008
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.736797
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.737825
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.736567
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.741649
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.739776
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.734008

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06634
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02809
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.995342
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.973414
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.950268
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.926975
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.90508
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.887137
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.870811
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.858421
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.839715
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.828476
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.817025
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.801707
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791059
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789659
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.781863
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.773261
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.764961
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759456
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.75586
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749605
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.74941
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.744752
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74484
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.745519
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.743617
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.738458
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.735786
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.737187
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.735987
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.733333
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.72834
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.729829
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.727349
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.733921
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.733854
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.731126
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.729507
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.727363
Stopping. Best iteration:
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.727349

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05582
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02895
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00127
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.965521
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.943955
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921273
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.899859
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.882564
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867177
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852054
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.839464
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.825894
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.816007
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809407
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.79508
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.780319
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.771869
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.764542
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759033
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.758156
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.750123
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747747
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.739514
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.732367
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.728077
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.721873
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.715768
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.715216
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.71408
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712339
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.708419
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703524
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.694885
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.692787
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.690543
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.686745
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.684512
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.680797
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.682578
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.677468
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.677513
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.673204
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.672003
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.673062
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.6724
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.673585
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.672663
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.667179
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.665688
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.664507
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.664034
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.664252
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.662486
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.665712
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.66583
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.664965
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.667061
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.666765
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.662486

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05883
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02428
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.996628
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.96766
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.944307
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.922245
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.905977
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.887969
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.870819
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.852077
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.844118
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.837122
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.825285
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.818302
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.808541
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.80062
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.796873
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.791077
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.784504
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.779794
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.772399
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769737
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.762591
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.757766
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.759015
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.752392
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.745361
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.742333
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.738344
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.740927
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.740955
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.739027
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.737864
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.735911
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.734581
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.732412
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.728853
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.729925
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.729097
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.732051
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.729918
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.730007
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.728853

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06375
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02912
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00042
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.977264
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.95615
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935034
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.912921
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.898157
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.878483
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.868244
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.855752
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.844331
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.833632
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.827799
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.819759
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.813579
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.806934
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.798898
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.790745
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.788221
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.78503
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.784139
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.776408
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.765828
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.762356
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.75622
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.748871
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.745762
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.737664
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.73497
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.735306
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.732212
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.726716
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.72787
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.72243
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.721856
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.719737
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.715572
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.713762
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.716961
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.711226
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.710249
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.707089
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.709929
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.710606
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.705798
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.702794
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.701725
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.701371
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.704302
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.703031
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.70278
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.701788
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.703265
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.701371

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.0627
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999155
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.969985
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.948417
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.926866
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.90604
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.889206
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.872833
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.861266
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.849088
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.838016
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.826597
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.813167
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.804124
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.794179
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.785308
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.778529
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.772942
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.766127
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759495
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.753917
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.750751
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748353
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74571
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.738633
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.735148
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.732787
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.72982
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.724854
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.722253
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.721807
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.72089
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.719789
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.721806
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.717768
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.716226
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.714149
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.713589
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.71381
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.713535
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.714594
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.712529
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.71253
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.712466
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.714447
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.713193
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.710057
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.7065
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.704164
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.701694
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.702392
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.699874
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.701886
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.700743
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.701051
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.700566
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.700146
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.699874

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05715
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02739
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.994041
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965801
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.938334
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.918916
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.899983
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.886505
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87367
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863391
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.852895
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.841098
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.828966
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.820183
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.813631
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.808885
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.801125
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.794175
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.787862
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783941
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.777442
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.775985
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.771934
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.769531
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.763996
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.759779
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.757597
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.755854
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.75323
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.750461
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.749898
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.750274
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.745442
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.746397
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.742781
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.742301
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.740867
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.74147
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.738246
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.736861
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.737287
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.73606
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.736463
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.734314
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.731344
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.73366
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.733932
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.736368
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.738737
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.738306
Stopping. Best iteration:
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.731344

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0343
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00054
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.974659
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.951715
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.925813
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905415
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895721
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875612
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.865833
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.860781
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.854726
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.849331
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.841847
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.828682
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.819929
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.80844
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.797623
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79029
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.781537
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.777882
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.770065
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.765637
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.756068
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.749257
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.741755
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741469
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.738913
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737402
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.732584
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.731449
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.725013
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.720166
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.716813
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.715427
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.71442
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.710608
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.709566
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.7095
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.706783
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.706911
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.705089
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.702769
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.700639
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.700771
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.700471
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.700059
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.699816
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.69698
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.696084
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.694864
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.691318
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.69019
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.687667
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.687298
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.685882
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.683056
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.681849
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.68169
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.679903
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.679847
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.678264
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.677128
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.676159
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.677023
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.676912
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.677265
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.677094
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.678703
Stopping. Best iteration:
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.676159

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06168
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02238
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.99377
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959534
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.939111
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.912245
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.892375
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.874572
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.856471
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.838062
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828857
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814001
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.801715
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.793837
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.78006
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.769334
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.757947
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.752073
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.746302
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.741398
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.731111
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.726908
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.716428
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.708752
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.700587
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.695082
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.689641
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.690508
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.685858
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.674833
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.669604
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.663554
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.66192
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.659171
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.663046
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.667047
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.668242
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.661998
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.661136
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.659171

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05781
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02261
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.982853
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.956341
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.923415
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.902682
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.876701
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.858543
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.839617
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.822979
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.81449
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.802813
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.79518
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.785976
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.783741
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.773602
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.772358
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.764111
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.758876
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.761822
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.760946
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.761814
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.762963
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.760597
Stopping. Best iteration:
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.758876

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05254
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01381
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977151
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.958027
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.930268
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.913438
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894935
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.880897
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.862623
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.853208
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.837701
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.826133
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.810531
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.796353
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.783294
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786099
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.77803
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.776233
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.768052
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.761876
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.761077
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.761541
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.758493
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.750595
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.753448
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.757124
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.754038
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.755005
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.75388
Stopping. Best iteration:
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.750595

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0474
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01178
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.980343
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.944344
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.923011
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.89424
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870643
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.850495
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.833068
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.817348
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.804866
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.789602
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.779838
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.767097
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.758616
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.747416
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.738338
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.730058
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.727296
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.725934
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.719701
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.715762
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.709668
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.708294
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.706845
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.706207
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.699859
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.700479
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.700798
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.699791
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.695847
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.695553
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.691176
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.690836
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.691147
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.691917
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.691201
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.695043
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.69498
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.690836

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0518
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00588
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.973747
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.939191
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.913414
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.884904
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.866099
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.847891
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.824927
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.810365
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.803668
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.798124
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.789326
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.782623
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.779588
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.771875
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.769932
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763679
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.756482
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.752027
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.745345
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.746383
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741365
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.740891
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.745418
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.741509
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740237
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.741291
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.741257
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.740352
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.741172
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.746951
Stopping. Best iteration:
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740237

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0522
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01511
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.982565
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.963391
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938486
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.918672
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.898792
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.887565
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.864844
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.854209
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.848005
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.832651
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.821279
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.80901
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.797636
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.792566
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.790278
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.7816
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.775272
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.768903
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.763701
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.764339
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.758311
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.754679
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.749739
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.750709
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.750872
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.748192
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.745443
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.739883
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.738107
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.741411
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.739259
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.741462
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.738709
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.742231
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.738107

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05012
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.0086
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.973653
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.940702
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.913529
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.89193
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.86927
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.848916
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.831751
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.814714
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.801118
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.78819
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.773705
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.759059
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.750629
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.746795
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.741997
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.736187
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.733186
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.724989
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.716953
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.711356
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.710982
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.706966
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.705291
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.699527
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.698551
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.698051
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.694904
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.690394
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.687535
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.689112
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.686521
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.685442
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.685114
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.683156
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.680872
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.682357
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.682683
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.68169
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.680037
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.679353
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.681529
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.684121
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.683126
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.682878
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.686661
Stopping. Best iteration:
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.679353

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05324
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02007
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.985207
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.958572
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.927281
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.899169
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.881844
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.862807
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.84856
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.838429
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.83006
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.819587
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.807919
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.79715
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.791915
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.782206
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.773664
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.767
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.766827
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.765674
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.768461
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.767331
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.768389
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.768343
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.768692
Stopping. Best iteration:
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.765674

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06168
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01863
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.976777
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.950385
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.917788
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.894385
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.871668
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.856473
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.840534
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.830511
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.818878
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.811469
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.805628
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.797325
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.787496
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.785837
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776003
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767823
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767214
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.769282
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.767692
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.766448
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.768597
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.762874
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.755948
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.755413
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.760468
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.75724
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.757304
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.760662
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.765927
Stopping. Best iteration:
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.755413

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05503
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01311
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.983319
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.950623
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.928561
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.901631
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.884351
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.863287
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.843678
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.826941
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.820459
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.80715
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.796201
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.788912
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.77605
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.770828
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.766278
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.756482
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.752842
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.748066
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.737692
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.734638
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.725773
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.715856
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.707405
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.703327
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.695882
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.699633
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.700565
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.696282
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.693748
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.690707
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.684353
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.682097
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.684181
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.686936
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.685367
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.682228
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.684631
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.682097

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05958
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02599
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.987915
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.958276
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.925762
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.902587
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.879233
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.862093
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.840311
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.822721
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.807623
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.795518
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.787521
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.780231
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.776548
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.76755
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.766982
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.760789
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.7602
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.760767
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.760296
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.76117
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.761787
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.762641
Stopping. Best iteration:
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.7602

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05615
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01849
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.980038
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.964415
[4]	validation_0-merror:0.266667	validation_0-mlogloss:0.937402
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918319
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.899107
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.886585
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.864953
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.853757
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.838401
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.830794
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.813312
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.797363
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788347
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788164
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.778806
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.772035
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.764624
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.758845
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.755837
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.753048
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.746546
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.737846
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.732965
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.734244
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.733741
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.729079
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.726501
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.724538
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.720764
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.718155
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.714902
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.718917
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.720397
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.727278
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.722867
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.720453
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.714902

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04841
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0138
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.984185
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.947709
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.929354
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.907927
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.890751
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.869897
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.849616
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.83421
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.81976
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.806725
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.795677
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.784776
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.775251
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.763892
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.755575
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.745858
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.743702
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.743846
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.737218
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.731746
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.725224
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.720944
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.71831
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.714673
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.709214
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.709234
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.710839
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.70904
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.704184
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.699779
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.696956
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.694329
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.694822
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.69224
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.693108
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.696258
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.699424
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.698792
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.699652
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.69224

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04825
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00545
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.975994
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.939068
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.911322
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.885974
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.871292
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.853274
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.835028
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.819264
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.812117
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.804134
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.793727
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.788501
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.783804
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.776728
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.771885
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.767256
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.764615
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.75842
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.752135
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.75338
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.750528
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.749059
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.753073
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.74706
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.742887
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.738982
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.737693
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.73934
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.742755
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.747789
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.746603
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.746425
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.737693

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05634
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01249
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.980219
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962487
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.934707
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.911091
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.890416
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.876926
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.856356
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.847531
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.839064
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.82211
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.807437
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.800124
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.788333
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.784725
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.779098
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.767931
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.769107
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.763833
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.758085
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.756012
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.751202
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.746377
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.741327
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.739075
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.735169
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.733875
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.725462
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.720295
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.722145
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.720927
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.720861
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.723194
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.720379
Stopping. Best iteration:
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.720295

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05395
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01746
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.978084
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.948419
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.918805
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.893917
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.874229
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.85316
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.836012
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.82075
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.808192
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.791719
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.780002
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.76782
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.758027
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.74851
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.741473
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.733057
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.724489
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.722542
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.714295
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.707038
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.706078
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.701376
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.698932
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.696454
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.693772
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.693589
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.691897
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.690285
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.688623
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.688695
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.686905
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.685647
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.687058
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.685706
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.684095
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.685877
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.685197
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.684318
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.684036
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.684305
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.684467
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.686277
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.685342
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.683851
[46]	validation_0-merror:0.25	validation_0-mlogloss:0.684318
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.686152
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.686191
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.686237
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.686509
Stopping. Best iteration:
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.683851

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05094
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02089
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.983864
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.954195
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.926634
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.903274
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.884665
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.868666
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.851961
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.836953
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826407
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812569
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.8014
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.789132
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.782242
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781941
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.773497
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.769251
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.772114
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.770148
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.773015
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.771397
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.773394
Stopping. Best iteration:
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.769251

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05668
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01855
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.974817
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.946567
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.920272
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.893432
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.872405
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.860502
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.846198
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.836759
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.829157
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.818929
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808032
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.806102
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.79657
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791608
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.78002
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.772062
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.773682
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.773163
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.773992
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.767042
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.76465
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.762958
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.756775
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.755829
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.755194
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.758226
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.757133
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.753438
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.754468
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.750455
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.746093
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.742342
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.737448
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.740472
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.73964
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.742061
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.74264
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.74443
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.737448

[0]	validation_0-merror:0.566667	validation_0-mlogloss:1.06343
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02398
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.994587
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.963431
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941302
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.914671
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897105
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.876913
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.859148
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.843838
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.835909
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.824038
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.813198
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.807728
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.79862
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.790951
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.783766
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772842
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.770889
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766337
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.756675
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.752752
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.749696
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.738375
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.732309
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.73156
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.728154
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.728935
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.728562
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.724989
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.721665
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.716645
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.715861
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.716503
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.716172
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.717703
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.716601
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.714816
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.715776
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.713798
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.716998
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.715766
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.712333
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.707591
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.709711
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.707788
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.710898
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.707507
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.709921
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.713317
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.708487
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.710916
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.709555
Stopping. Best iteration:
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.707507

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02349
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.985664
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959284
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.92818
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.905479
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.881531
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.860939
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.843286
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.825843
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.813635
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.803537
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.795205
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.786905
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.782875
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.773793
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.77137
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.763313
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.762827
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.761228
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.754471
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.753275
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.753164
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.754046
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.75501
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.752987
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.754191
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.750337
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.74918
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.750665
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.753504
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.753736
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.752651
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.752368
Stopping. Best iteration:
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.74918

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06156
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01949
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.984831
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.964667
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.940405
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916997
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.895425
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.881592
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.863237
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.849123
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.831405
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.821701
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.80647
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.792497
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.781221
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781722
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.772183
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.764367
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757322
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.751343
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.743691
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.74047
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.73791
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.731651
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.729022
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.72997
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.72951
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.724483
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.720673
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.717253
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.71393
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.711855
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.708165
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.711552
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.710797
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.717361
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.717726
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.713107
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.708165

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05157
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01561
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990047
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.954863
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.932488
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.913085
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.895814
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.874886
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.857599
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.842706
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.829485
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.816383
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805605
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.796746
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.785351
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.775171
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.764759
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.756378
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.754603
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.754403
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.747279
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.745078
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.739224
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.736515
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.731404
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.727124
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.721257
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.724362
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.724932
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.725168
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.718632
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.713117
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.70938
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.706926
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.705173
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.700103
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.698874
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.701729
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.700314
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.698234
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.699923
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.696949
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.694848
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.696132
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.693718
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.695703
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.694225
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.690893
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.688366
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.689538
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.689577
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.694133
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.691831
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.694456
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.688366

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04967
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00675
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.975891
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.946
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.917958
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.894112
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.877824
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.859818
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.839484
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.823182
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.816647
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807815
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.795922
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.789988
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.783788
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.775111
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.771376
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.767649
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.765408
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.758279
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.750848
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.752042
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.747027
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.747006
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.751334
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.749609
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.745658
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.747451
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.746716
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.744809
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.748323
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.752338
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.749507
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.750689
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.748513
Stopping. Best iteration:
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.744809

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05673
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01179
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.98298
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.959962
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.93884
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.91889
[6]	validation_0-merror:0.25	validation_0-mlogloss:0.898343
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.882615
[8]	validation_0-merror:0.25	validation_0-mlogloss:0.859508
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.848261
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.838438
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.821767
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.808216
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.796728
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.790072
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.781331
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.779236
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.769948
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.771254
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.766027
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.76229
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.7632
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.758013
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.752091
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.745002
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.741606
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.737317
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.735276
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.730547
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.727729
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.727779
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.723021
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.721366
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.723239
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.721099
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.727294
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.726555
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.726214
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.726078
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.729383
Stopping. Best iteration:
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.721099

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05354
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01568
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.97978
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.948545
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.919078
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.8922
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.869184
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.850224
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.832712
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.821935
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.808016
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.791612
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.782936
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.77505
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.766853
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.755772
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.748507
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.744848
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.739323
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.731634
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.721163
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.716761
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.711037
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.708137
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.704232
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.699695
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.695334
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.694646
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.694408
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.69334
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.692727
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.693066
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.693439
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.693464
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.691832
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.692626
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.692951
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.692499
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.693691
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.692644
Stopping. Best iteration:
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.691832

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0514
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01644
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.978514
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.950518
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.9185
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.894803
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.875211
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.859327
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.847018
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.83318
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.820889
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.808037
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.798844
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.790482
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.786215
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.778931
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.7749
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.772439
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.771707
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.770378
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.764926
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.762009
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.76229
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.762758
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.76208
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.761324
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.761466
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.764961
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.765419
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.765499
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.765288
Stopping. Best iteration:
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.761324

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06287
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02513
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.988125
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.965316
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.935094
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.910309
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.888192
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869745
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851485
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.845379
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.83128
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.815384
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.804058
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.799386
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788949
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.780962
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.772525
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.762672
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.759939
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.757681
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.753927
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.751336
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.74795
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.740952
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.738278
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.733445
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.731334
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.73049
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.728354
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.726046
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.727326
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.725564
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.723986
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.720699
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.717028
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.721047
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.719521
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.716552
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.720804
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.7209
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.72002
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.719659
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.719369
Stopping. Best iteration:
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.716552

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06392
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0368
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00548
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.974554
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.951745
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925612
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.907139
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.889949
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.873422
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852459
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.843087
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.827224
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.815369
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.803305
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.793147
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.785718
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.778994
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.769115
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.765237
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.762906
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.75333
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747245
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.742798
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.739357
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.734226
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.735315
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.733557
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.732517
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.732811
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.726395
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.726088
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.722454
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.719399
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.716871
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.718756
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.72202
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.722446
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.719345
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.716816
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.714443
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.714101
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.714424
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.711056
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.710756
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.71271
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.708872
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.711424
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.707874
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.707137
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.708958
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.706245
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.710945
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.711366
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.71277
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.71481
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.714648
Stopping. Best iteration:
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.706245

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0614
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02511
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.986763
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.962367
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.929946
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.908467
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.886922
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.86916
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.849486
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.831397
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.815545
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.805308
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.797692
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.789264
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.782667
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.77645
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.772622
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.762865
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.76136
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.756948
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.752427
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.746867
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.746144
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.748593
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.752161
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.749173
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.747229
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.745337
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.743176
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.744262
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.746517
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.749013
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.748016
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.74848
Stopping. Best iteration:
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.743176

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02467
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.988956
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966786
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.939957
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918611
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.900375
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.883965
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.865448
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.856681
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.838958
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.828602
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.816192
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801408
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.791488
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.79115
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.782844
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.773359
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.770098
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.765109
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.758812
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.753291
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.751376
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.742831
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.740873
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.741411
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.743013
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.738583
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.737876
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.731662
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.727233
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.723889
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.721718
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.724778
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.726197
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.727412
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.726231
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.723211
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.721718

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05143
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01847
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.99497
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.961672
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.940525
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.914186
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.8933
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.87712
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.865178
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.847701
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.833851
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.820609
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810783
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.802219
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.792171
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.782691
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.775576
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768847
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.767246
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.768951
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.760454
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.754749
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.747698
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.742551
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.738736
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.732334
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.726781
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.728991
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.730191
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.728014
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.724169
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.720357
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.714442
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.711071
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.708559
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.703945
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.700806
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.698706
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.698992
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.690879
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.693065
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.688152
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.689509
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.689648
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.689405
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.690166
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.691503
Stopping. Best iteration:
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.688152

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05492
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01165
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.982614
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.94993
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.921876
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.893397
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.87873
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.856827
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.837831
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.821765
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.812913
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.808068
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.796907
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.788769
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.782854
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.774134
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.769543
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.76572
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.76319
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.758195
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.74837
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.746046
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.74224
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.743932
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.744776
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.743646
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.741934
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.744622
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.743624
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.742121
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.740442
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.739335
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.738294
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.738471
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.738144
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.737354
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.738072
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.741508
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.744062
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.749229
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.750046
Stopping. Best iteration:
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.737354

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06086
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.266667	validation_0-mlogloss:1.01587
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985157
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.957714
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.936684
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.908829
[6]	validation_0-merror:0.25	validation_0-mlogloss:0.888406
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.873873
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.854921
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.842529
[10]	validation_0-merror:0.25	validation_0-mlogloss:0.827613
[11]	validation_0-merror:0.25	validation_0-mlogloss:0.817741
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.805452
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.795632
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.786164
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.779507
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.775412
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.768449
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.767264
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.760464
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.752712
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.751461
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.745342
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.738038
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.736743
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.736228
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.728707
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.726285
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.721183
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.723778
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.725215
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.721043
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.719164
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.722154
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.718727
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.723435
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.721102
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.720314
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.718769
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.722199
Stopping. Best iteration:
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.718727

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05952
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02215
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.988061
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957534
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.930812
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.907169
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.887338
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.870688
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.85346
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.842038
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.830834
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.811452
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.802014
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.794193
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.785061
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.778566
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.769387
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.761841
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.758739
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753759
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.748852
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.743405
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.74112
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.736513
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.733657
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.727582
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.722983
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.717491
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.715717
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.713854
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.713297
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.71388
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.714179
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.713872
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.714589
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.712451
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.711629
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.707806
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.708458
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.707369
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.706451
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.705812
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.703609
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.700824
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.70058
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.699564
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.699455
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.697432
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.698229
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.69758
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.696979
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.698062
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.69821
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.699796
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.700467
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.701263
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.696979

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05017
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01767
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980307
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.954759
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.928215
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.908073
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.892153
[7]	validation_0-merror:0.45	validation_0-mlogloss:0.874934
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.862767
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.852901
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.839248
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.825106
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.819048
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.81322
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.807144
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.795431
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.790864
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.788489
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.78921
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.785092
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.782875
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.780147
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.778925
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.778495
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.777271
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.777165
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.777186
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.778533
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.77889
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.780765
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.784996
Stopping. Best iteration:
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.777165

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06067
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02291
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.987035
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.960654
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.929692
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.910472
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.888935
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873507
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.854692
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.847568
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.835999
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.829507
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.819005
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.815886
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.803404
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.801937
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.792838
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.785381
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.781958
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.779906
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.779837
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.777622
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.77082
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.76498
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.758306
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.755817
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.753344
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.749523
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.746465
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.744332
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.744534
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.742402
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.743032
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.741691
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.736272
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.735769
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.73341
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.731234
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.729584
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.728125
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.728338
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.726953
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.726673
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.726604
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.730625
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.735412
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.735383
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.737773
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.737151
Stopping. Best iteration:
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.726604

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05968
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03532
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00476
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971207
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.95135
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.931461
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.9129
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.895545
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875897
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.853703
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.844145
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.831973
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.819382
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.806722
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.796189
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788856
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.778114
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769657
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.766211
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.765057
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.755654
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.75042
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.746303
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.740379
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.731161
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.729181
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.726887
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.725391
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.721823
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.717482
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.713455
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.709359
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.707713
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.705128
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.708137
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.710365
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.709718
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.708119
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.709455
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.705128

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05945
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0249
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987611
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.959339
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929532
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.907406
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.885331
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864722
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.845248
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.828339
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.811837
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.801448
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.792877
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.784166
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.782403
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.774951
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.771328
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.761313
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.759929
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.754781
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.751012
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.746001
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.74624
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.747183
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.74871
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.74712
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.745554
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.744161
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.740024
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.739707
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.740174
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.73781
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.737944
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.737636
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.740082
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.742149
[36]	validation_0-merror:0.4	validation_0-mlogloss:0.742419
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.74574
[38]	validation_0-merror:0.4	validation_0-mlogloss:0.743469
Stopping. Best iteration:
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.737636

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06312
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02519
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.989513
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.970495
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.949001
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926316
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.903311
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885714
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.865751
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.851438
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.832294
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822262
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.811503
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79773
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786381
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.785305
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.777184
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.76707
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.760144
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.755833
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.753241
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.74577
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.745996
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.738786
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.735999
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.738911
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.736703
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.731244
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.727186
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.727236
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.72452
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.72044
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.718698
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.720429
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.718133
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.724586
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.722203
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.721382
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.720414
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.721963
Stopping. Best iteration:
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.718133

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05134
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02406
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.996428
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.961192
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.937052
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.913705
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.898103
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.880239
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.864227
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847198
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.835818
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820502
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.811507
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.804789
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.793027
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781407
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773995
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765483
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.76315
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.761758
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.753611
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.74927
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.739915
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.738069
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.734081
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.727995
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.72533
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.727162
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.729015
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.728241
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.724554
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.719183
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.713636
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.711962
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.710824
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.705727
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.70494
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.703175
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.704495
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.703586
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.70439
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.699918
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.698961
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.698742
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.698019
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.698359
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.698953
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.696923
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.693502
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.692754
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.693401
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.693509
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.692585
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.693449
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.692079
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.691195
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.691398
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.69231
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.695111
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.692945
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.692711
Stopping. Best iteration:
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.691195

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06058
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01816
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.987606
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.955947
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.927967
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.907543
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.892226
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.869953
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851895
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.834713
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.822091
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814598
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.802645
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.79394
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.789023
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.782167
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.777531
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.773101
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.767316
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.761441
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.752422
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.748825
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.745558
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.743826
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.743568
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.740411
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.735692
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.731626
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.731754
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.732039
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.733326
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.733992
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.734276
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.731626

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05943
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02126
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994427
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.970445
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.948946
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.928521
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.907333
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.892451
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.873105
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.861127
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.8474
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.835865
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.824163
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.814838
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.804448
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.798298
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.792172
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.783096
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.778725
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.772997
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.766892
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.765416
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.759334
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.750309
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.750606
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.7504
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.746805
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.743776
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.737547
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.739925
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.740522
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.734394
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.731598
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.731426
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.72672
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.731612
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.727875
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.726198
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.725775
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.727988
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.724782
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.7237
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.721962
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.721925
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.725486
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.722134
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.722445
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.723125
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.725226
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.721925

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05772
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02239
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.988036
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957902
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.933336
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.910304
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.891664
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873582
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.855479
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.841872
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.834418
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.815616
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.802203
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.789908
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.780584
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.773495
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765466
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.758283
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.752335
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.746431
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.740622
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.735911
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.730086
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724459
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.721798
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.715608
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.712985
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.711194
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709352
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.706153
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.705943
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703694
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.705193
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.701539
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.700419
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.699427
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.697641
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.694926
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.695202
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.694439
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.69432
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.695313
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.695446
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.697102
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.699786
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.699623
Stopping. Best iteration:
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.69432

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05342
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01709
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978872
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.951883
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.924097
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.900426
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.881892
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.864111
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.850703
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.839277
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.827393
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.813287
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.807173
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.800199
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.792679
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.783256
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.779813
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.77603
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.774653
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.773651
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.769507
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.768139
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.767722
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.765916
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.762026
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.761795
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.762115
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.761819
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.760688
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.761427
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.765586
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.763899
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.765145
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.764818
Stopping. Best iteration:
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.760688

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06331
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02593
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.990389
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.958656
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.929176
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.907215
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.8834
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.866978
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.849938
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.840378
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.832488
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.824051
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.812603
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.808321
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.796943
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.790453
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.781175
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.771015
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.769614
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.764535
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.759208
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.754145
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.749439
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.745017
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.738823
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.735045
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.734046
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.7318
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.726304
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.723379
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.72059
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.721729
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.720745
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.715974
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.716517
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.717267
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.718228
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.715949
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.717025
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.718712
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.718114
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.716013
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.713817
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.712731
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.712478
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.712164
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.710358
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.710244
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.708805
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.708448
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.708346
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.706858
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.704791
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.704617
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.706901
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.709204
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.710026
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.709054
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.709804
Stopping. Best iteration:
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.704617

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06287
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.02378
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.99292
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.95868
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.936184
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.910128
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.890493
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.871423
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.854464
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.837398
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828551
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.814792
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.802513
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.791308
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.77889
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.769938
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.757687
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.751833
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.747645
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.744708
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.737396
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.731598
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.722942
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.7138
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.70597
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.701874
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.696321
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.698058
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.69475
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.682834
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.677193
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.674823
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.671595
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.666926
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.669174
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.671961
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.671861
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.669016
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.669669
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.666926

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05823
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.984713
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.958783
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.926765
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.905215
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882793
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868471
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.847057
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.829647
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.818872
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804783
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.793698
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.783715
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.778729
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.767823
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.763903
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.757629
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.754503
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.754573
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754123
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.753243
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754935
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.755048
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.758327
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.757648
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.756265
Stopping. Best iteration:
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.753243

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05482
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01436
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.978909
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.955248
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.923517
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.905717
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.886397
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.873629
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.853426
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.842206
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.826489
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.820114
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.805294
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.798013
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.787103
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.790428
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.782582
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.780279
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.775301
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.77331
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.773998
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.776189
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.776205
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.769758
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.768934
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.773409
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.772446
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.772637
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.770243
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.76702
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.764749
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.761607
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.759582
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.761417
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.762482
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.769312
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.765296
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.759113
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.762126
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.765147
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.772873
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.76977
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.767196
Stopping. Best iteration:
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.759113

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04425
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00656
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.977238
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.939347
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.917272
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.889037
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.866394
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.844449
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.825515
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.81087
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.799167
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.786526
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.773256
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.76024
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.753443
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.743825
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.736239
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.727581
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.724792
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.722223
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.717003
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.713255
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.708064
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.70366
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.697764
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.691992
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.688014
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.691394
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.690485
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.689514
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.689429
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.684416
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.679727
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.67862
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.677394
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.679248
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.676605
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.677615
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.676507
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.675578
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.678916
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.679795
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.680749
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.680396
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.67678
Stopping. Best iteration:
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.675578

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05234
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00515
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.974201
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.9443
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.913464
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.883083
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.863436
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.845651
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.825532
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.814468
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.806039
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.799064
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.790305
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.784805
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.77857
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.772221
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.770341
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767008
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.762275
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.756494
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.750715
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.749654
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.748335
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748299
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.752305
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.752139
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.751757
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.750865
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.75178
Stopping. Best iteration:
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748299

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04902
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01156
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.985291
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962395
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.933078
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.912582
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.889493
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.880015
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.861597
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.849184
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.841847
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.83477
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.819773
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.810236
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.798686
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.794962
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.790133
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.784306
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.780191
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.773646
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.773293
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.774549
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.773911
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.770492
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.766371
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.768563
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.769346
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.770699
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.765786
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.759244
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.757912
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.761826
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.760152
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.766075
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.765015
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.772601
Stopping. Best iteration:
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.757912

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04971
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0093
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.975084
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.941345
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.910567
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.884554
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.863816
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.843381
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.826844
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.816322
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.805863
[11]	validation_0-merror:0.25	validation_0-mlogloss:0.785305
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.774576
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.761179
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.752885
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.743654
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.733366
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.72772
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.725025
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.716673
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.712017
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.707498
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.707794
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.707664
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.703841
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.702869
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.701536
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.698763
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.696598
[29]	validation_0-merror:0.233333	validation_0-mlogloss:0.693666
[30]	validation_0-merror:0.233333	validation_0-mlogloss:0.691296
[31]	validation_0-merror:0.233333	validation_0-mlogloss:0.690007
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.689907
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.689999
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.690962
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.690321
[36]	validation_0-merror:0.233333	validation_0-mlogloss:0.691752
[37]	validation_0-merror:0.233333	validation_0-mlogloss:0.693121
Stopping. Best iteration:
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.689907

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05546
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02062
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.984057
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.955185
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.925773
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.897966
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.879817
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.859683
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.844081
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.836291
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.828791
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.820956
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.814473
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.811858
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.806943
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.798193
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.790116
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.784437
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.790372
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.785823
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.781195
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.779863
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.782302
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.785022
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.782427
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.785156
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.79064
Stopping. Best iteration:
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.779863

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06215
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01937
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.981327
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.957021
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.931607
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.904401
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.880754
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869175
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.854808
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.846255
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.837412
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.833173
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.827011
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.824953
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.81774
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.81704
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.813064
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.809924
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.812745
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.814546
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.818263
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.817147
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.816111
Stopping. Best iteration:
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.809924

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05491
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01549
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.984975
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.952559
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.929134
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.905088
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.887502
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863409
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.844243
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.830874
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.822676
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.813014
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.801363
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.788335
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.775665
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.767689
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.761463
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.752877
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.750523
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.74924
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.739048
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.732596
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.724861
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.716379
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.708508
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.704103
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.695731
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.698934
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699957
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.695004
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.690619
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.687722
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.689052
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.689237
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.691515
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.693274
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.693658
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.687722

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05958
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02599
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.988943
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.962849
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.931837
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.90839
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885927
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.871925
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.851226
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.835287
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.819641
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807981
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.800294
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.793531
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.79085
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.781583
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.779838
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.774725
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.772594
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.771268
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.771765
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.76934
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.772279
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.773533
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.772505
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.769164
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.766492
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.76496
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.767093
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.765919
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.767539
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.766799
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.767774
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.76496

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05375
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01162
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.976998
[3]	validation_0-merror:0.25	validation_0-mlogloss:0.961923
[4]	validation_0-merror:0.25	validation_0-mlogloss:0.934048
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.915059
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.894639
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.882571
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.859938
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.847659
[10]	validation_0-merror:0.25	validation_0-mlogloss:0.832952
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.823426
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.813478
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.797148
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.785618
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786251
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775852
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765351
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.758707
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.751994
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749391
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747284
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.744175
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.736065
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.728935
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.732815
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.732798
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.731194
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.728593
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.727234
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.724645
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.721996
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.717784
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.721261
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.723834
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.729675
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.726071
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.722657
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.717784

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04567
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00931
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.977623
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.941726
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.924364
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.89693
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.876933
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.855
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.836189
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.818892
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.805196
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.793806
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.782272
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.773307
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.762531
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.753823
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.743347
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.734257
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.731428
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.732536
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.728126
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.724726
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.717685
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.713959
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.709489
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.705709
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.700517
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.700711
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.700194
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.699593
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.690781
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.686939
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.684378
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.680827
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.682255
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.679337
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.680374
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.683062
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.683764
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.685034
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.68754
Stopping. Best iteration:
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.679337

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05036
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00914
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.98057
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.946538
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.915812
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.89071
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.875993
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.857265
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.8368
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.82318
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.814889
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.807126
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.79998
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.791037
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786867
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.777182
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.776096
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.772397
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.772686
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.767378
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.764045
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.762724
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.759967
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.761042
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.765974
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.763347
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.761491
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.758582
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.758623
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.755505
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.760746
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.767808
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.766591
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.767854
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.767739
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.755505

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05533
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01219
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.981982
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.958765
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.929676
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.912088
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.898404
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885212
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.867162
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.86173
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.85509
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.841133
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.82761
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.819363
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.807564
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.807415
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.802672
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.794418
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.795387
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.789069
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.784992
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.784915
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.782967
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.781626
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.775392
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.773809
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.770138
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.772235
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.765832
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.761775
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.76125
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.764073
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.760419
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.765235
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.763017
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.771182
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.770551
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.771646
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.760419

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05291
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01536
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977178
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.946279
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.91784
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.89384
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.873373
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.856491
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.840948
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829693
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.816758
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.800896
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.789208
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.776951
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.764833
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.757223
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.74884
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.745059
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.742113
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.740938
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.734773
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.730583
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.728128
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.723299
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.71921
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.717644
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.713069
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.713321
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.712246
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.709013
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.710012
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.711428
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.711855
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.712737
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.715668
Stopping. Best iteration:
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.709013

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05472
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02184
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.983691
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.957572
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.926831
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.902208
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.883041
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.865791
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.849911
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.834666
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.821604
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.808095
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.7999
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.79313
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.786364
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.778281
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.776665
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.77425
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.775139
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.772642
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.77299
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.770934
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.771132
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.769468
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.766816
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.76788
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.770504
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.776102
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.771994
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.774607
Stopping. Best iteration:
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.766816

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05612
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02197
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.986186
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.958568
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.924465
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.900498
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.878957
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.866662
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.853809
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.846859
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.84087
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.832264
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.825896
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.817641
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.809039
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.805632
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.794213
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.792017
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.787894
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.788793
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.787298
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.784477
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.784065
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.783386
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.779356
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.774545
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.774849
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.777402
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.776814
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.772326
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.775609
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.776391
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.775252
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.772301
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.770896
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.774105
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.774998
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.77475
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.773001
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.77273
Stopping. Best iteration:
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.770896

[0]	validation_0-merror:0.55	validation_0-mlogloss:1.06288
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02231
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989029
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.958247
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.935376
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.909662
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.892104
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.872116
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.856524
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.844082
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.836174
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.826048
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.815239
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.806952
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797584
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.786961
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.779391
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.768018
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.766216
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.762431
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.754315
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750684
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.746094
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.736097
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.730563
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.729779
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.725816
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.725361
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.724842
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.719373
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.716419
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.713731
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.711702
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.710388
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.710779
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.712448
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.71211
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.710813
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.712025
Stopping. Best iteration:
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.710388

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02349
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98671
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962475
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.932657
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.909917
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886987
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.866605
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.85001
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829342
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814034
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804127
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.798997
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.790856
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.785646
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.780726
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.777125
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.770197
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.769932
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.768873
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.763199
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.755895
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.755905
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.757074
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.758134
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.75557
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.754942
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.751375
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.752435
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.75276
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.752972
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.751939
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.748732
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.747878
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.7502
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.755623
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.74683
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.749296
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.748699
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.746145
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.743867
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.745281
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.746291
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.744757
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.749673
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.752627
Stopping. Best iteration:
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.743867

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.0608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.0188
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.985376
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.966249
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.939198
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.916045
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.897493
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.883855
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.863687
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.849854
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.830816
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.820922
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.804963
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.791504
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.778668
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781563
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.772264
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.762845
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757182
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.750422
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.7427
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.739701
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.737391
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.731389
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.728413
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.730743
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.73052
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.727763
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.726811
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.724295
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.719884
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.717787
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.712989
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.717267
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.717213
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.723789
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.724442
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.720147
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.712989

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04894
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01157
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.98553
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.950138
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.930264
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.906649
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.889393
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.868538
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.850237
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.836063
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.823198
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.81159
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80042
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.792328
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.783364
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.774982
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.764462
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.757461
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.754608
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.755711
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.747979
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747426
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.741264
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.738639
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.735333
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.733762
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.728528
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.731105
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.7298
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.730373
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.721839
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.716283
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.712481
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.709917
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707943
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.703518
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.701015
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.701103
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.702761
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.701841
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.704529
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.702583
Stopping. Best iteration:
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.701015

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04853
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00545
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.975299
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.9459
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.916225
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.890545
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.874675
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.854482
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.834216
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.820741
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.813055
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.805428
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.793569
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.788982
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.786893
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.780633
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.779385
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.776685
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.774056
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.767712
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.763425
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.762231
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.757899
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.760586
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.762694
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.760615
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.759644
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.755764
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.754307
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.752606
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.755674
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.761456
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.758474
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.762905
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.762266
Stopping. Best iteration:
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.752606

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05648
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01156
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.984228
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.95813
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.936995
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.91523
[6]	validation_0-merror:0.25	validation_0-mlogloss:0.893949
[7]	validation_0-merror:0.25	validation_0-mlogloss:0.879162
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.857479
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.846075
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.836245
[11]	validation_0-merror:0.25	validation_0-mlogloss:0.822628
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.808846
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.798621
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.789966
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.788581
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.785355
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.78089
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.779939
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.775007
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.770988
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.77081
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.765674
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.761975
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.757108
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.755741
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.748784
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.749607
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.746294
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.746361
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.746198
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.743939
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.743056
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.744594
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.743745
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.749798
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.74801
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.74771
Stopping. Best iteration:
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.743056

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05208
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01414
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976083
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.943513
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.915534
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.888894
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.865943
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.84784
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.829642
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.81889
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.805706
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.788777
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.777548
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.768169
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.759092
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.752959
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.74363
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.73915
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.732073
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.724916
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.718492
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.71532
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.71663
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.710842
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.706258
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.703126
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.696201
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.692992
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.690331
[29]	validation_0-merror:0.233333	validation_0-mlogloss:0.686281
[30]	validation_0-merror:0.233333	validation_0-mlogloss:0.683811
[31]	validation_0-merror:0.233333	validation_0-mlogloss:0.68042
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.679531
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.677572
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.678546
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.681416
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.682938
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.682737
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.679
Stopping. Best iteration:
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.677572

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05451
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02057
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.981535
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.955968
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.929874
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.903952
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.883603
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.865518
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.852772
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.843935
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.830906
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.816459
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805522
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.794231
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.791569
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.78227
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.779674
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.776612
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.774676
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.77208
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.762906
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.76131
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.759437
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.75876
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.757657
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.757388
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.757446
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.760292
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.758929
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.764066
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.766232
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.757388

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06407
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02937
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994674
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.967342
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.939056
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.917703
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.893707
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.873253
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.853366
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.848459
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.83362
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.818789
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.804111
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.797843
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.782165
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.774755
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.765788
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.760536
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.758126
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.755419
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.755757
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.753477
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.749926
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.74427
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.741678
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.740937
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.738117
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.739635
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.737272
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.737856
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.739685
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.74334
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.740629
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.737893
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.737272

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06392
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0368
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00304
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.972111
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.949938
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.924434
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.906143
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.889165
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.873345
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.852553
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.843651
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.831168
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.819066
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.8102
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.798581
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.790954
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.782551
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773498
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.76975
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.766239
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.757696
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.751494
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.747163
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.74384
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.736611
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.739231
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.73579
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.735335
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.734757
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.730395
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.728968
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.726274
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.726144
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.723103
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.724763
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.728794
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.731098
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.728193
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.728085
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.723103

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0614
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02511
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.986763
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.963344
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.927918
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906739
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885326
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.867289
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848706
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.830465
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814779
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.801895
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.795329
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.786732
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.780333
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.773374
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.769606
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.764044
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.764457
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.760318
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.755764
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.750589
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.752035
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.75457
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.757341
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.755341
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.754464
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.750589

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02467
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.988956
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966786
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.939957
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.919973
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.901757
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885443
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867589
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.855059
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.838856
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.827853
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.81337
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798143
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.78847
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788606
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780765
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771532
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.76804
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762123
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.756125
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.750392
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.748654
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.740041
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.738103
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.738756
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.74038
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.739806
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.73911
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.732854
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.731863
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.728742
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.726409
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.730418
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.73186
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.739267
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.738026
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.734916
Stopping. Best iteration:
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.726409

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04991
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01528
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.989707
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.953402
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.930628
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.904637
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.883611
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.868818
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.857708
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.841842
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.831011
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.819743
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.808778
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.799815
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.791538
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784337
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.778571
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.77008
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767458
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76396
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.757797
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.752618
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745466
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.743096
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.73581
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.732432
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.725946
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.727552
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.727876
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.725908
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.720377
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.716599
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.711592
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.708547
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707074
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.703599
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.70192
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.69788
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.699827
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.692055
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.692797
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.689851
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.688448
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.688883
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.688417
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.688977
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.690055
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.688051
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.68513
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.68448
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.685886
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.687919
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.682799
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.685844
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.683943
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.682766
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.6823
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.682566
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.684716
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.683811
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.681452
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.68184
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.68444
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.685634
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.687187
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.689602
Stopping. Best iteration:
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.681452

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0543
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01086
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.982437
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.950106
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.920514
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.894341
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.881087
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.859466
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.840149
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.825584
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.81784
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.813495
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.801221
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.795078
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.791678
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781222
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.776707
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.772189
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.769608
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.763721
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.754269
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.755513
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.753565
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.755597
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.755063
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.753653
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.751063
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.749738
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.749296
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.74855
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.751186
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.749865
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.750693
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.751529
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.750278
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.74855

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06086
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.266667	validation_0-mlogloss:1.01587
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.985704
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.958273
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.93723
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.908902
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.890264
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.876714
[8]	validation_0-merror:0.25	validation_0-mlogloss:0.857447
[9]	validation_0-merror:0.25	validation_0-mlogloss:0.845017
[10]	validation_0-merror:0.25	validation_0-mlogloss:0.830724
[11]	validation_0-merror:0.25	validation_0-mlogloss:0.821311
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.809125
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.798847
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.788469
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.783485
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.778544
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.769162
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.768492
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.762388
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.755307
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.755252
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.753455
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.746017
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.745558
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.743221
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.737497
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.735421
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.730386
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.731583
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.731833
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.725884
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.724125
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.728921
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.725013
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.72948
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.727958
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.726611
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.724125

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05785
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01958
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.985628
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.953603
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.927887
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.902447
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.883052
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.86513
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.846479
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.835069
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.823171
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.805146
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.790678
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.77862
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.770601
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.763053
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.756008
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.749246
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.74623
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.739636
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.73556
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.732764
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.727802
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724246
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.720295
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714937
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.712044
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712185
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.709724
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.70675
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.706206
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704063
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.704926
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.704789
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707325
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.706216
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.705782
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704063

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05209
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01655
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978992
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.953172
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.928853
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.905836
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.886492
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.871106
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.860232
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.851944
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.837901
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.823204
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.812732
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.801498
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.795412
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.793363
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.788473
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.78466
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.78554
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.78399
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.779352
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.776497
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.77557
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.775493
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.769316
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.76923
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.769391
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.769532
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.773467
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.773632
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.777803
Stopping. Best iteration:
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.76923

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06067
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02374
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.986113
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.960703
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.928821
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.909602
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.889013
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.868657
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.851111
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.844788
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.835955
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.827771
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.8157
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.810229
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.796453
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.79724
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.79107
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.782337
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.785888
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.783342
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.779329
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.777319
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.77193
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.76349
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.759519
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.757156
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.754206
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.754871
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.751011
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.751385
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.750549
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.747258
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.747121
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.746644
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.744528
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.742595
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.74145
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.743734
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.744614
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.744788
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.743816
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.743093
Stopping. Best iteration:
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.74145

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05968
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03532
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00476
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971807
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.951796
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.93131
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.912691
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.895445
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.875849
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.860685
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.850902
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.838718
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.825931
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.814731
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.805065
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.79596
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.784674
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.775873
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.772434
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.770076
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.760708
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.755768
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.751627
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.747257
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.738173
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.737185
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.734915
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.734357
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.729068
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.72471
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.721925
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.718033
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.715412
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.712568
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.713254
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.715489
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.714732
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.713467
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.716513
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.712568

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05945
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0249
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987611
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.960292
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929328
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.907264
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.885279
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864711
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.845336
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.828783
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.8124
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.802044
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.794042
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.786266
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.784609
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.777368
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.773739
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.764485
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.763097
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.758031
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.751873
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.747136
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.747473
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.74857
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.750202
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.748688
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.746752
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.745433
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.741276
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.739451
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.739846
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.73739
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.737337
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.737392
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.739679
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.7418
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.742074
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.745689
Stopping. Best iteration:
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.737337

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06312
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02519
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.989513
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.970495
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.949001
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926316
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.903311
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885714
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.865751
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.851438
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.832294
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822262
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810694
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.796942
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.785614
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.783681
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775591
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765501
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.758603
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753777
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.75108
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.742801
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.743044
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.735349
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.732476
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.735408
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.733188
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.729929
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.725741
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.725771
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.722961
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.718745
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.717005
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.718774
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.716504
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.722953
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.723953
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.723171
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.721915
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.72363
Stopping. Best iteration:
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.716504

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04985
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02144
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.991776
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.956545
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932469
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907439
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.890346
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873904
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857595
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.840558
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830059
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815943
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.804134
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.797803
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.787077
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.777377
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.770562
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.761518
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759096
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.755984
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.750875
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.748723
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.739705
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.737964
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.73363
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.727145
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.724498
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.724954
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.726633
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.724166
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.72239
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.717176
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.711574
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.709825
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.708404
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.703853
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.704147
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.703275
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.704741
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.700943
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.702228
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.696636
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.696597
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.696238
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.695437
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.695762
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.696353
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.6931
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.689792
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.688602
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.688812
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.689699
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.688912
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.691375
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.687788
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.687178
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.689213
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.688906
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.691664
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.691595
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.689501
Stopping. Best iteration:
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.687178

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06058
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01813
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.988302
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.957085
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929134
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.908955
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.893746
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.871828
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.853462
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.836381
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.823814
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.816238
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.804061
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798564
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79537
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788058
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.784826
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.781263
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.776618
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.771935
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.762332
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.758649
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.752895
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.753603
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.754172
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.75417
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.749987
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.74802
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.748551
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.749005
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.749987
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.747718
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.747782
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.748028
[34]	validation_0-merror:0.416667	validation_0-mlogloss:0.748511
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.750463
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.748944
Stopping. Best iteration:
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.747718

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05943
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02126
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995203
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.971199
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.949664
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.925888
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.906636
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.893884
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.873911
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.861981
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.850031
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.838812
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.827147
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.817644
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.806674
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.800145
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.794081
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.786243
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.781993
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.778944
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.772698
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.772075
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.766236
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.7568
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.753295
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.754264
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.750578
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.747531
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.741358
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.743365
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.745134
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.738999
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.737072
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.736451
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.732252
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.738095
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.733414
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.731571
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.731239
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.731676
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.727967
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.726812
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.726328
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.726871
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.728404
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.725648
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.725854
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.727494
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.728768
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.732762
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.730247
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.725648

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02027
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985792
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.955873
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.930529
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.907135
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.888814
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.871186
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853071
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.840368
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830204
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.812492
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.799046
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.786151
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.776056
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.768972
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.760847
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.752135
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.746927
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.736463
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.726008
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.721753
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.718248
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.714742
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.711582
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.705444
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.703319
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.698022
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.697029
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.693745
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.694164
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.692147
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.688795
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.68539
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.687934
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.687286
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.686266
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.687019
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.689235
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.68539

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05265
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01558
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978851
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951762
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.924931
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.900093
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.881359
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.863634
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.851298
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.84045
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.826775
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.815211
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.810736
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.803558
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797169
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.791215
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.790018
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.786269
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.779475
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.777363
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775219
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.772325
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.771709
[23]	validation_0-merror:0.416667	validation_0-mlogloss:0.770076
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.764827
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.763704
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.764392
[27]	validation_0-merror:0.416667	validation_0-mlogloss:0.766849
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.76962
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.768985
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.767606
Stopping. Best iteration:
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.763704

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06331
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02692
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.991321
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.959568
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.929181
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.907468
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.883927
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.867833
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.850556
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.840533
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.831527
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.822277
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.813721
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.805836
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791809
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.788837
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.779887
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.771567
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.770444
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.761247
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.760477
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.760657
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.755233
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.748448
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.739838
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738766
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.73663
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.733756
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.730096
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.727361
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.726143
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.72611
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.725686
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.721211
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.723807
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.72667
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.729062
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.728956
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.726561
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.721211

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06277
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.02371
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.992845
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957922
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.935311
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908665
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.889785
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.869286
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.851226
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.830829
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.821139
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.807575
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.798147
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.786117
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.774727
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.768279
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.756378
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.751214
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.748193
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.745665
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.739527
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.733596
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.726673
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.717439
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.711445
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.706672
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.698006
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.702798
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.699492
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.692549
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.687713
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.684388
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.682736
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.678896
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.680455
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.680376
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.679879
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.677194
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.678127
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.675312
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.67687
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.672131
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.669065
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.668633
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.668001
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.665483
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.668595
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.672569
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.674003
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.680212
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.680066
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.665483

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05823
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.984713
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.958006
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.925385
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903899
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.881577
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.866037
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.84469
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.828897
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.818965
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.808312
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.799247
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.789961
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.784211
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.773413
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.769881
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.763935
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.76217
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.759948
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.758021
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.757367
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.758847
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.757832
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.760345
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.76006
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.75883
Stopping. Best iteration:
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.757367

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05513
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01466
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.979497
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.955838
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.924283
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907423
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.888145
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.875302
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.854026
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.841655
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.827746
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.81875
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.805797
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.798053
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.787255
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.788098
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.778511
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.775612
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.769994
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.767484
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.771485
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.771586
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.771801
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.764395
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.763122
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.769677
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.769025
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.76877
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.765825
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.762636
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.753086
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.751411
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.748109
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.749929
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.751172
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.760007
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.756214
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.750872
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.748109

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04283
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00701
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.97785
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.94734
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.927023
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.898014
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.876401
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.853281
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.833371
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.818482
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.805942
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.793121
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.780715
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.769945
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.763423
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.754898
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.746826
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.741075
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.738287
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.737569
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.734739
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.732266
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.726868
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.718683
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.714576
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.715265
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.711121
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.714697
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.715102
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.715761
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.712177
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.70889
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.706664
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.706333
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.708393
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.708734
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.708943
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.710884
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.710095
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.706333

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05344
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00601
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.979913
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.944848
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.916184
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.88546
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.86496
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.848393
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.82743
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.818149
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.80986
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.805991
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.797503
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.791997
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786961
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.78192
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.782496
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.780256
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.778195
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.770821
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.764259
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.76372
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.759764
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.760428
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.761914
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.759539
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.759424
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.758954
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.75973
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.758899
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.756719
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.759299
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.76283
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.763986
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.767681
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.769134
Stopping. Best iteration:
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.756719

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04902
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01156
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.985923
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.963115
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.933733
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.913521
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.895613
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.886169
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.870234
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.858081
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.850974
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.838606
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.8232
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.814745
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.803972
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.799886
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.794915
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.785693
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.783589
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.780432
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.783607
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.786123
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.783042
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.780876
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.778873
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.780133
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.780284
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.781599
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.777134
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.771361
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.770446
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.772761
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.770148
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.77365
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.774451
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.783993
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.779885
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.779314
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.770148

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.051
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01111
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.975099
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.942135
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.914514
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.889441
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870834
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.849527
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.834421
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.825261
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.815194
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.800555
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.787683
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.77518
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.766748
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.758938
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.752885
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.743629
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.738976
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.733877
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.730772
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.726322
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.725312
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.721844
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.718725
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.717876
[26]	validation_0-merror:0.233333	validation_0-mlogloss:0.717335
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.712433
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.710842
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.708665
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.706176
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.709818
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.710532
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.712457
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.712857
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.71258
Stopping. Best iteration:
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.706176

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05758
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02199
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.985892
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.960887
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.930479
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.903953
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88637
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.86383
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.85005
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.84204
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834872
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824786
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.817786
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.815091
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.811133
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.80832
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80405
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.798272
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.802701
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.804179
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.799901
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.798113
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.800984
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.801585
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.79987
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.803562
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.806918
Stopping. Best iteration:
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.798113

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06178
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02041
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.981772
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.95488
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.92973
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.902445
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.880788
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868077
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.856307
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.846303
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.838125
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.833494
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.827407
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.825344
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.816711
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.816187
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.812267
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.80818
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.810195
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.812408
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.816429
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.816804
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.817843
Stopping. Best iteration:
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.80818

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05491
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01549
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.984975
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.952559
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929588
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.904015
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.886457
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.862298
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.845604
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.834931
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.825351
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815347
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.805683
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.800286
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786718
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.777469
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.769046
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.760213
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757983
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.755739
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.745286
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741623
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.732745
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724063
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.716842
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.712814
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.704236
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.705563
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.705383
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.698658
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.693779
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.689307
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.690423
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.690448
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.692468
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.694496
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.694518
Stopping. Best iteration:
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.689307

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05958
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02599
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.988943
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.963688
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932553
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.909094
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.887369
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.873278
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.852568
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.836611
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.820898
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.809243
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.801494
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.795026
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.789945
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.7821
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.779469
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.774438
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.77285
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.771592
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.772247
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.771484
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.774633
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.775254
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.773915
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.770504
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.767739
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.765947
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.768201
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.766729
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.76743
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.767027
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.768181
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.765947

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05375
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01162
[2]	validation_0-merror:0.233333	validation_0-mlogloss:0.976998
[3]	validation_0-merror:0.25	validation_0-mlogloss:0.961923
[4]	validation_0-merror:0.25	validation_0-mlogloss:0.934048
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.916143
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.895756
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883717
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.861654
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.851829
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.83591
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.82601
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.811953
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.795865
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.787083
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.786191
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.775486
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.765287
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.758691
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.753387
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.751295
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.74927
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.747423
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.738532
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.733594
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.738025
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.736035
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.735271
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.73415
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.733845
Stopping. Best iteration:
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.733594

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04504
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01048
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.978723
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.945479
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.926722
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903523
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.884041
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.861408
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.844509
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.825928
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.811551
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.799805
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.790453
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.780218
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.769355
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.760215
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.750981
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.741707
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.738704
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.738435
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.733864
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.730636
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.722005
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.716621
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.710652
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.705008
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.701641
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.704717
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.706257
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.707069
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.700592
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.69454
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.689053
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.688847
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.688658
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.685594
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.68722
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.684673
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.685084
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.680136
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.681726
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.676596
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.675824
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.674595
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.672531
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.671621
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.670729
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.667214
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.666848
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.668935
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.670097
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.672205
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.669314
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.670368
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.666848

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05024
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00901
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.981688
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.949093
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.918413
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.894717
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.876849
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.859195
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.840057
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.824814
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.815125
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.807914
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.799615
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.792793
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.788336
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.780243
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.778202
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.77565
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.772368
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.767716
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.763931
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.763767
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.759185
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.759996
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.76556
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.761985
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.759118
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.759895
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.7591
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.756601
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.760275
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.765573
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.763384
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.767069
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.768646
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.756601

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05533
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01219
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.982293
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.959079
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.927547
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.911382
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.887502
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.874105
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.85673
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.848592
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.841846
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.82795
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.81514
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.806263
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.795337
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.793347
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.788572
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.77567
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.776407
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.772457
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.773289
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.771942
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.769198
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.765236
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.763105
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.764629
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.761228
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.763661
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.76044
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.757124
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.757286
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.760693
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.757129
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.76166
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.760404
Stopping. Best iteration:
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.757124

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05327
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01536
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.976401
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.949067
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.918769
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.896431
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.878231
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.86315
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.849111
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.841697
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.831032
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.817176
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.805028
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.793733
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.782562
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.773778
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765961
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.761316
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.755607
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.751282
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.74539
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.741563
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.742832
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.736092
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.731601
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.73081
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.726421
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.724889
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.723525
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.721786
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.722936
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.723897
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.723043
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.7227
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.719428
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.71902
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.718669
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.717404
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.716806
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.716689
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.718331
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.719254
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.719169
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.719995
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.721565
Stopping. Best iteration:
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.716689

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05421
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01859
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.982511
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.957334
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.929241
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.902606
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.882217
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864863
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.850556
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.837785
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.82482
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.811856
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.805694
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.797656
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.790121
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.779893
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.777206
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.773355
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.775906
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.775104
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.776177
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.775739
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.771547
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.770415
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.77077
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.774441
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.776543
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.781006
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.778501
Stopping. Best iteration:
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.770415

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05648
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02225
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.98381
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.953526
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.921695
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.897671
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.874702
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864106
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.850629
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.843915
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.832908
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.821365
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.810794
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.805822
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.794843
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788389
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.780157
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.77839
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.776151
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.771543
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.771942
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.767959
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.767477
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.765292
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.76153
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.759118
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.758411
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.759483
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.759391
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.756871
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.759983
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.762794
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.760628
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.76009
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.760027
Stopping. Best iteration:
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.756871

[0]	validation_0-merror:0.55	validation_0-mlogloss:1.06288
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02231
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989029
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.958247
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.935376
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.90912
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891546
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.871647
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.856107
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.843631
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.836542
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.824839
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.814061
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.809342
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.801877
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.791358
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.782596
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771446
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.769639
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.764763
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.754241
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750554
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745034
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.731724
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.72544
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.723935
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.719817
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.719356
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.718975
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.713191
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.710151
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.705855
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.704523
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.702477
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.702324
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.704485
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.704768
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.7033
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.704352
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.701282
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.704421
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.705098
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.701125
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.698036
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.698855
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.698613
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.701355
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.697603
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.698672
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.702053
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.698392
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.70222
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.702209
Stopping. Best iteration:
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.697603

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02349
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98671
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962132
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.933177
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.910405
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.887436
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.866997
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.850341
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829575
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814225
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804262
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.799116
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.79092
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.785714
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.780778
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.777126
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.773169
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.774472
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77312
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767712
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.765927
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.765936
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.766758
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.767542
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.766397
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.766089
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.765927

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.0608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.0188
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.985376
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.966249
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.939198
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917146
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.898598
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885612
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.865267
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.851511
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.833511
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.82215
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.807648
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.794235
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.782082
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78494
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775512
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.7652
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.761875
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.755619
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748202
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.745398
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.743196
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.735728
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.733676
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.735824
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.73555
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.73167
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.730675
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.727009
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.723494
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.718422
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.713718
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.718093
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.716478
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.722932
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.723514
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.719093
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.713718

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04918
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01144
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.985454
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.950055
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.930094
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.906873
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.888998
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.867725
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.849382
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.835004
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.821872
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.808852
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.797647
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.789753
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.780624
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.769956
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.7585
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.751513
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.748251
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.750019
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.74248
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.741956
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.735741
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.730936
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.727678
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.722301
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.716909
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.719415
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.719134
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.717881
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.714091
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.708587
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.704882
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.701794
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.699868
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.695444
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.692994
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.693176
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.695435
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.6945
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.697185
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.695869
Stopping. Best iteration:
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.692994

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04811
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00504
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.974993
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.945596
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.915707
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.889991
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.87237
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.852229
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.830944
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.817578
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.810034
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.803276
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.791684
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.78616
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.784018
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.77783
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.776623
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.773188
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.769412
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.764976
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.757977
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.757913
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.753667
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.756381
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.758537
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.757762
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755642
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.754305
Stopping. Best iteration:
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.753667

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05648
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01156
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.984228
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.95813
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.936995
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.91523
[6]	validation_0-merror:0.25	validation_0-mlogloss:0.893587
[7]	validation_0-merror:0.25	validation_0-mlogloss:0.878882
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.857249
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.845864
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.836052
[11]	validation_0-merror:0.25	validation_0-mlogloss:0.822462
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.808698
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.798481
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.789821
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.788434
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.785207
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.780715
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.780158
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.775226
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.770638
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.770267
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.764765
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.76211
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.75715
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.754501
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.747517
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.746824
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.743473
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.74331
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.742786
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.734891
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.730611
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.73263
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.731927
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.738009
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.737402
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.73693
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.730611

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05235
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01388
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976042
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.945168
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.91918
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.89236
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870381
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.852608
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.834453
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.827013
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.812318
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.794907
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.784447
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.772498
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.764274
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.757091
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.747946
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.740764
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.731171
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.723408
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.718158
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.715191
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.716024
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.715122
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.711323
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.709342
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.702116
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.698173
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.695983
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.693392
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.693064
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.689046
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.684668
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.683077
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.683907
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.683948
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.684701
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.684995
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.685011
Stopping. Best iteration:
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.683077

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05427
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01838
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.979935
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.953497
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.927081
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.900798
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.878686
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.859048
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.847065
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.83552
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.821183
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.806471
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.80033
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.788882
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.786451
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.776497
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.774676
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.773066
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.766964
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.765039
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.758712
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.754856
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.753797
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.754621
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.753149
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.753264
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.753046
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.756041
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.75582
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.759698
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.763583
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.763811
Stopping. Best iteration:
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.753046

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06407
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02937
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994674
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.967342
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.939056
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.917703
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.893707
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.873253
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.852089
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.847166
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.832337
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.817561
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.802926
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.796702
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.779152
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.770799
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.760925
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.757513
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.754998
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.751422
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.751603
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.752557
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.750003
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.745651
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.740739
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.739094
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.738192
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.740728
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.740147
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.741231
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.742664
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.74646
Stopping. Best iteration:
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.738192

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06392
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0368
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00304
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.972111
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.949938
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.924434
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.906143
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.889165
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.873345
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.852553
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.843651
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.831168
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.819066
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.8102
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.798581
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.790954
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.782551
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773498
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.76975
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.766239
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.757696
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.751494
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.747163
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.74384
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.736611
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.739231
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.73579
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.735335
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.734757
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.730395
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.728968
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.726274
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.726144
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.723103
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.724763
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.728794
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.731098
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.728193
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.728085
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.723103

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0614
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02511
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.986763
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.963344
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.927918
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906739
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885326
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.867289
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848706
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.830465
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814779
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.801895
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.795329
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.786732
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.780333
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.773374
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.769606
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.764044
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.764457
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.760318
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.755764
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.750589
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.752035
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.75457
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.757341
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.755341
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.754464
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.750589

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02467
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.988956
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966786
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.939957
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.919973
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.901757
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885443
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867589
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.855059
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.838856
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.827853
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.81337
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798143
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.78847
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788606
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780765
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771532
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.76804
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762123
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.756125
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.750392
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.748654
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.740041
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.738103
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.738756
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.74038
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.739806
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.73911
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.732854
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.731863
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.728742
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.726409
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.730418
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.73186
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.739267
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.738026
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.734916
Stopping. Best iteration:
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.726409

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04991
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01528
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.989707
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.953202
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.930394
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.904896
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.883132
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.868301
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.85765
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.840218
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.83019
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.819108
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.807981
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798659
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.789131
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781784
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.775509
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.767805
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.766985
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.76807
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.761768
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.757033
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.749192
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.747183
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.742328
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738066
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.733603
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.734951
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.735129
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.734021
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.730683
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.726823
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.722581
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.719453
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.717868
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.714329
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.712348
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.709547
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.709949
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.704857
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.705688
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.700821
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.698976
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.698638
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.698202
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.69924
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.699733
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.698453
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.69627
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.69491
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.695568
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.697676
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.694103
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.69674
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.693866
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.692875
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.694654
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.694831
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.697424
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.696553
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.698937
Stopping. Best iteration:
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.692875

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0543
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01086
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.982609
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.950266
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.920459
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.894312
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.881067
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.859475
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.840239
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.825697
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.817208
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.811994
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.799804
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.793705
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.79033
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.779926
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.775449
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.773427
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.770944
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.765513
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.757419
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.758009
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.755609
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.75885
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.758325
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.757786
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.754496
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.753142
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.753871
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.756812
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.759554
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.758446
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.759208
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.753142

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06086
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.266667	validation_0-mlogloss:1.01587
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.985704
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.958273
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.93723
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.908902
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.890264
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.876714
[8]	validation_0-merror:0.25	validation_0-mlogloss:0.857447
[9]	validation_0-merror:0.25	validation_0-mlogloss:0.845017
[10]	validation_0-merror:0.25	validation_0-mlogloss:0.830724
[11]	validation_0-merror:0.25	validation_0-mlogloss:0.821311
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.809125
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.798847
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.788469
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.783485
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.778544
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.769162
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.768492
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.762388
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.756139
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.756059
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.754285
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.7469
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.746213
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.743863
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.738126
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.736059
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.731065
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.732221
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.732535
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.726183
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.724421
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.729249
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.724062
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.728593
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.728665
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.727818
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.727766
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.73071
Stopping. Best iteration:
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.724062

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05859
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02077
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985929
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.954613
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.930517
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906051
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88641
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.867856
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.850475
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.84047
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.828541
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.809499
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.794497
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.782241
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.772759
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.764898
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.756919
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.753786
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.749805
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.742683
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.737108
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.732344
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.728572
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.725731
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.721668
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.718621
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.714853
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71498
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.713385
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.710633
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.710007
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.707959
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.704856
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.706515
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.709345
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.708808
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.709047
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.7053
Stopping. Best iteration:
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.704856

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05114
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01526
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.977876
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.954102
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.929824
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.906072
[6]	validation_0-merror:0.433333	validation_0-mlogloss:0.889489
[7]	validation_0-merror:0.433333	validation_0-mlogloss:0.872068
[8]	validation_0-merror:0.433333	validation_0-mlogloss:0.860063
[9]	validation_0-merror:0.433333	validation_0-mlogloss:0.853071
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.839043
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.827637
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.821434
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.816188
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.809436
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.802473
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.799237
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.794433
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.794099
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.793661
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.790872
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.789772
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.79186
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.790536
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.785589
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.787429
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.787616
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.788328
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.788583
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.790511
Stopping. Best iteration:
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.785589

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06067
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02374
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.986113
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.960703
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.928821
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.909602
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.889013
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.868657
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.851111
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.844788
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.835955
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.827771
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.8157
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.810229
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.794636
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.795421
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.787328
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.778745
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.782315
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.779823
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.77581
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.773791
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.768444
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.76125
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.756925
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.752713
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.752182
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.750489
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.746622
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.747015
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.744543
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.7448
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.743651
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.738475
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.735266
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.733519
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.730959
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.73124
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.732666
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.734414
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.733264
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.73384
Stopping. Best iteration:
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.730959

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05968
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03532
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00476
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971807
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.951796
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.93131
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.912691
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.895445
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.875849
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.860685
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.850902
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.838718
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.825931
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.814731
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.805065
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.79596
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.784674
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.775873
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.772434
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.770076
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.760708
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.755768
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.751627
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.747257
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.738173
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.737185
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.734915
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.734357
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.729068
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.72471
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.721925
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.718033
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.715412
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.712568
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.713254
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.715489
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.714732
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.713467
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.716513
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.712568

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05945
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0249
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987611
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.960292
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929328
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.907264
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.885279
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864711
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.845336
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.828783
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.8124
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.802044
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.794042
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.786266
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.784609
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.777368
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.773739
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.764485
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.763097
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.758031
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.751873
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.747136
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.747473
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.74857
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.750202
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.748688
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.746752
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.745433
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.741276
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.739451
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.739846
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.73739
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.737337
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.737392
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.739679
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.7418
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.742074
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.745689
Stopping. Best iteration:
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.737337

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06312
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02519
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.989513
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.970495
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.949001
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926316
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.903311
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885714
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.865751
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.851438
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.832294
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822262
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810694
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.796942
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.785614
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.783681
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775591
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765501
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.758603
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753777
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.75108
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.742801
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.743044
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.735349
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.732476
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.735408
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.733188
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.729929
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.725741
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.725771
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.722961
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.718745
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.717005
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.718774
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.716504
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.722953
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.723953
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.723171
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.721915
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.72363
Stopping. Best iteration:
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.716504

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04985
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02144
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.991776
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.956545
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932469
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907185
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.890081
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.87364
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857298
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.839601
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828288
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.814103
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80224
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.79586
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.78566
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.776027
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.769208
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.761047
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.758455
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.755223
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.750047
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745261
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736313
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.734577
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.730548
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.724093
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.721437
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.723557
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.722746
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.720251
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.717747
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.712482
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.7069
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.706364
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.70535
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.700788
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.698816
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.697862
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.700494
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.699803
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.700418
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.695884
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.69557
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.695326
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.695542
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.695668
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.697222
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.695156
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.691866
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.691031
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.691027
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.691596
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.690588
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.691175
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.688473
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.685994
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.687842
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.688634
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.691472
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.691787
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.689678
Stopping. Best iteration:
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.685994

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06058
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01813
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.988302
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.957085
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928006
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.907865
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.892957
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.871005
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.852583
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.835474
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.822879
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815272
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.803086
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.797195
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.794011
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786786
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.783544
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.779934
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.775282
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.77057
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.760901
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.757199
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.753046
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.753716
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.754346
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.752865
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.748115
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.745722
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.745322
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.745767
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.747208
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.744962
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.745077
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.745268
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.745723
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.747645
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.746208
Stopping. Best iteration:
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.744962

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05943
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02126
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995203
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.971199
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.949664
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.925888
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.906636
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.893884
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.873911
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.861981
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.850031
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.838812
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.827147
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.817644
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.806674
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.800145
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.794081
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.786243
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.781993
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.778944
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.772698
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.772075
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.766236
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.7568
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.753295
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.754264
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.750578
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.747531
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.741358
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.743365
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.745134
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.738999
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.737072
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.736451
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.732252
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.738095
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.733414
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.731571
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.731239
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.731676
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.727967
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.726812
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.726328
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.726871
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.728404
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.725648
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.725854
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.727494
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.728768
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.732762
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.730247
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.725648

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02027
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985792
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.955873
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.930529
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.907135
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.888814
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.871186
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.853714
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.841586
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.827847
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.813296
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.799744
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.786795
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.778635
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.769317
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.761066
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.752854
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.74535
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.73858
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.730589
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.725835
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.720267
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.717338
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.713927
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.710212
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.708764
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.706087
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.704099
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.701139
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.701509
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.699351
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.698818
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.69646
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.698505
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.698103
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.696552
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.695997
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.696186
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.694064
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.695986
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.697326
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.696262
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.697853
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.697981
Stopping. Best iteration:
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.694064

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05265
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01558
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978851
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951762
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.924931
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.900093
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.881359
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.863634
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.851298
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.84045
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.826775
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.81567
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.811179
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.804127
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797721
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.790904
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.789604
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.787758
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.784179
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.782508
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.781809
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.778937
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.778293
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.776649
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.771062
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.769976
[26]	validation_0-merror:0.416667	validation_0-mlogloss:0.772939
[27]	validation_0-merror:0.416667	validation_0-mlogloss:0.775368
[28]	validation_0-merror:0.416667	validation_0-mlogloss:0.776233
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.774838
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.776707
Stopping. Best iteration:
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.769976

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06331
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02692
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.991321
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.959568
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.929181
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.907468
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.883927
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.867833
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.850556
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.840533
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.831527
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.822277
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.813721
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.805836
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791236
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.78846
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.78127
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.771957
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.770816
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.761692
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.760918
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.759157
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.75484
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.746285
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.736169
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.733912
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.731779
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.729724
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.726559
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.723737
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.721019
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.720505
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.721058
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.718585
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.716566
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.719889
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.723456
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.723797
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.7221
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.722348
Stopping. Best iteration:
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.716566

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05692
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01215
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.98075
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.954955
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.92778
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.903801
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.881898
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.86729
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.848709
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.832688
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.819784
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812843
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.803379
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.794934
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788347
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.77565
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.766645
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.760602
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.750466
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.743733
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.734548
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.728118
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.720385
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.71068
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.700314
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.693143
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.692897
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.687798
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.685388
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.682182
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.678045
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.677709
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.673045
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.674655
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.671854
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.668202
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.668291
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.670369
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.667026
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.663935
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.656644
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.651084
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.651476
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.648932
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.645031
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.641754
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.640625
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.642249
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.639815
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.641268
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.642233
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.63815
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.633984
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.635002
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.639158
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.639899
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.638992
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.632181
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.636343
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.635047
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.637658
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.637786
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.640136
Stopping. Best iteration:
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.632181

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06318
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02868
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.99877
[3]	validation_0-merror:0.45	validation_0-mlogloss:0.968093
[4]	validation_0-merror:0.45	validation_0-mlogloss:0.946749
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.927731
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.908218
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.89338
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.881609
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.872131
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.861372
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.848272
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.84232
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.833107
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.819228
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.812368
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.805027
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.79601
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.787622
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.778124
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.773789
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.764588
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.763541
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.759184
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.756089
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.762113
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755707
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.751744
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.746436
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.738349
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.738659
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.734118
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.728748
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.728503
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.722584
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.72463
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.72463
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.724464
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.733025
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.733711
Stopping. Best iteration:
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.722584

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05829
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02765
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996339
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.965721
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.939109
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918662
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896109
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.880849
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864545
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847237
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834271
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.822873
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.807569
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801118
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.785143
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.768871
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.75938
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.74955
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.750431
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.739634
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.738191
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.732657
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.730316
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.725524
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723851
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.725626
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.717777
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712352
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.703786
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.695277
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.690022
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.688996
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.685859
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.68376
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.6835
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.683886
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.682749
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.680085
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.67651
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.671421
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.671208
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.664622
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.665924
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.664062
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.66312
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.658717
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.658505
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.657962
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.656167
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.656356
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.66071
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.662076
[52]	validation_0-merror:0.25	validation_0-mlogloss:0.659036
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.655831
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.655693
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.655977
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.653023
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.653273
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.656711
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.654617
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.654393
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.657307
Stopping. Best iteration:
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.653023

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.02619
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.991943
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962304
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.943644
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.921158
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.900269
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.881454
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.864947
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.845325
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.834354
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.817277
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.804048
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.794403
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.787622
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.777229
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.769624
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.764741
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.758165
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753868
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.744674
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737683
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.726866
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.719091
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.712691
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.709185
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.70537
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.700946
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.696503
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.69491
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.691413
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.689436
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.688652
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.688363
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.685497
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.679978
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.678479
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.676155
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.672787
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.671293
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.669349
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.664776
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.663596
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.663028
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.660879
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.65811
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.660106
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.660837
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.660885
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.662049
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.6603
Stopping. Best iteration:
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.65811

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02448
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994924
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.960939
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.941183
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.925108
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.907552
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.896485
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.88438
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.873334
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.860382
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.851408
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.8405
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.829363
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.816939
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806767
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.798822
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.793961
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.785291
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.778113
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772308
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.764978
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767795
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.765945
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.763789
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.762472
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.756298
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.752126
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.753586
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751518
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751019
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.750844
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.748097
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.746518
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.743269
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.739855
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.737617
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.734933
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.738259
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.732996
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.733794
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.734847
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.736322
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.729938
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.732726
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.733423
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.734115
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.735052
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.738531
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.729938

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02872
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00355
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.976736
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.953341
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936879
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.91662
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.901942
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.886389
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.875851
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.869907
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.86255
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.846275
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.830407
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.815914
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.810056
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.802421
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.792757
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.785661
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.771222
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.765192
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.762802
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.760105
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.751251
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.746811
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.74245
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.736475
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.731515
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.729847
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.727285
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.723773
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.721278
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.717365
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.715112
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.712881
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.711714
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.70503
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.701752
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.698261
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.69823
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.6969
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.693495
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.693952
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.690728
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.689677
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.685488
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.685759
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.684592
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.685567
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.684866
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.681415
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.679204
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.67822
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.677292
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.676787
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.673721
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.671009
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.673108
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.676615
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.673894
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.672749
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.675225
Stopping. Best iteration:
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.671009

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05319
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01661
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.98389
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957102
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.933361
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.911513
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894458
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.875597
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.860516
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845637
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.829378
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.820117
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809333
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.797202
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.790178
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781609
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774166
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.768058
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759536
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.753279
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.745298
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.741313
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.73474
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.729869
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.730926
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.726765
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722875
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.722321
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.716517
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712428
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.707924
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.705273
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.700477
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.697341
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.696505
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.693135
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.691491
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.691679
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.69008
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.688398
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.688094
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.688727
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.68853
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.685515
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.684059
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.684608
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.683879
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.684409
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.683916
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.686132
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.68562
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.683775
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.686561
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.685517
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.684868
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.687247
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.687787
Stopping. Best iteration:
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.683775

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05547
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01987
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990724
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.963656
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941415
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923077
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.907852
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.892961
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.878687
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.868637
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.854829
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.842842
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.83503
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.825436
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.819627
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.809435
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.801614
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792741
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.7928
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.787746
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.782828
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.776984
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.773407
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.770456
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.767431
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.763838
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.756227
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.75178
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.748989
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.74647
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.74224
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.740189
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.736037
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.731566
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.728776
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.727354
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.724038
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.721929
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.721823
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.719591
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.719946
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.719262
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.717498
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.718157
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.719328
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.717529
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.716041
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.714319
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.713434
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.713208
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.711666
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.710018
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.709432
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.70852
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.707451
[55]	validation_0-merror:0.35	validation_0-mlogloss:0.707927
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.707776
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.70813
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.706829
[59]	validation_0-merror:0.333333	validation_0-mlogloss:0.707088
[60]	validation_0-merror:0.333333	validation_0-mlogloss:0.708791
[61]	validation_0-merror:0.333333	validation_0-mlogloss:0.708742
[62]	validation_0-merror:0.333333	validation_0-mlogloss:0.710768
[63]	validation_0-merror:0.333333	validation_0-mlogloss:0.71094
Stopping. Best iteration:
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.706829

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05916
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02611
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994486
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.973997
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950669
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935467
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.918517
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901938
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.890942
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.878065
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.865067
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.8564
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.846713
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.839065
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.832761
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.819538
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.813601
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.806633
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.797196
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.792266
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.783326
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.780706
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.774413
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.77261
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.769116
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.765775
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.763464
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.758327
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.75391
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.748226
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.74693
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.743617
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.740483
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.738451
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.734626
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.732492
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.727157
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.722392
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.720544
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.718573
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.719077
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.714818
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.709844
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.70751
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.705414
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.702038
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.700431
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.69741
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.69635
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.697042
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.692977
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.691318
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.688604
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.688259
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.688803
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.68708
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.685605
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.685567
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.685143
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.683161
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.681313
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.679711
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.678989
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.679476
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.678344
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.67665
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.673074
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.672925
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.673459
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.671611
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.66992
[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.668409
[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.666388
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.667849
[74]	validation_0-merror:0.266667	validation_0-mlogloss:0.666109
[75]	validation_0-merror:0.266667	validation_0-mlogloss:0.665166
[76]	validation_0-merror:0.266667	validation_0-mlogloss:0.665305
[77]	validation_0-merror:0.266667	validation_0-mlogloss:0.665307
[78]	validation_0-merror:0.266667	validation_0-mlogloss:0.665095
[79]	validation_0-merror:0.266667	validation_0-mlogloss:0.666049
[80]	validation_0-merror:0.266667	validation_0-mlogloss:0.666783
[81]	validation_0-merror:0.266667	validation_0-mlogloss:0.66804
[82]	validation_0-merror:0.266667	validation_0-mlogloss:0.667975
[83]	validation_0-merror:0.283333	validation_0-mlogloss:0.667544
Stopping. Best iteration:
[78]	validation_0-merror:0.266667	validation_0-mlogloss:0.665095

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05469
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01474
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.983393
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.959914
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.936107
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.913957
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.893405
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.878179
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.860252
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.838425
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826832
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.821097
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.811187
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.803359
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.799626
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.786472
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775872
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768754
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.75952
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.753345
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743676
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.736948
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731831
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.723355
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.713962
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.706181
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.705864
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.699218
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.69355
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.689187
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.684597
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.682624
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.68099
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.681508
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.679137
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.676236
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.676566
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.67771
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.675968
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.676068
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.672246
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.667487
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.664673
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.665362
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.663967
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.661142
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.660912
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.65952
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.65894
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.659528
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.661343
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.660141
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.656999
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.659452
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.663323
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.665996
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.666337
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.659112
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.656999

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06367
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.483333	validation_0-mlogloss:1.02837
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.997974
[3]	validation_0-merror:0.45	validation_0-mlogloss:0.967403
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.944045
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.92508
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.90623
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.891063
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879032
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.86562
[10]	validation_0-merror:0.433333	validation_0-mlogloss:0.853935
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.841635
[12]	validation_0-merror:0.433333	validation_0-mlogloss:0.835723
[13]	validation_0-merror:0.433333	validation_0-mlogloss:0.827766
[14]	validation_0-merror:0.416667	validation_0-mlogloss:0.815328
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.809665
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.803128
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.795121
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.786925
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.777134
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.77234
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.763481
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.762204
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.754509
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.750512
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.754645
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.747218
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.747732
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.741844
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.734715
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.735229
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.732549
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.728814
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.726762
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.720856
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.724551
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.725542
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.725063
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.733617
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.734953
Stopping. Best iteration:
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.720856

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05829
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02834
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.997193
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.968909
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941446
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.9212
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.896138
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883301
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.866173
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.852757
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.840715
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.828844
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.813587
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.807302
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.79181
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.777968
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.767978
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.75569
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.753354
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.743854
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.74267
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737536
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.735407
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.729178
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.727811
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.730561
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.721861
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.716027
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.708508
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.701379
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.697303
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.696296
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.69324
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.691357
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.68919
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.688592
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.686006
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.685437
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.687619
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.683438
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.681817
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.676798
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.677455
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.673728
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.67326
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.667793
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.666613
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.66573
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.663675
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.665023
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.670729
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.672208
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.670828
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.668931
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.663675

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02099
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.987392
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957538
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.940053
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.918048
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.898653
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.880009
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.865392
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.84809
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.836872
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.820147
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.805823
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.796029
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.7896
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.779342
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.772746
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769678
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759968
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.75435
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.747617
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.738409
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.727342
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.721512
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.714787
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.711517
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.708528
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.703547
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.698017
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.697053
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.69152
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.690704
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.686695
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.68656
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.684251
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.678494
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.679245
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.675656
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.672444
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.66973
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.669617
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.666424
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.664551
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.664031
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.659024
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.658429
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.660164
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.658528
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.660499
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.655255
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.653611
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.656822
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.651509
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.650714
[54]	validation_0-merror:0.25	validation_0-mlogloss:0.651937
[55]	validation_0-merror:0.25	validation_0-mlogloss:0.6513
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.652247
[57]	validation_0-merror:0.25	validation_0-mlogloss:0.649888
[58]	validation_0-merror:0.25	validation_0-mlogloss:0.646653
[59]	validation_0-merror:0.25	validation_0-mlogloss:0.642677
[60]	validation_0-merror:0.25	validation_0-mlogloss:0.644494
[61]	validation_0-merror:0.25	validation_0-mlogloss:0.646519
[62]	validation_0-merror:0.25	validation_0-mlogloss:0.647036
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.64414
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.64239
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.63911
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.639203
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.639555
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.640749
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.639377
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.639862
Stopping. Best iteration:
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.63911

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05546
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02395
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.992694
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959635
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.939869
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.922923
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.901291
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.890537
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879516
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.865606
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852578
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.841058
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.829641
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.819721
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.809261
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.80045
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.793121
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.788419
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.783126
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.775958
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.769451
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.762072
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.761279
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.759062
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.756809
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.755559
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.751513
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.747137
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.747086
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.747399
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746507
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.743515
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.741774
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.73916
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.736788
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.734811
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.732572
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.727963
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.731867
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.72736
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.728279
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.72999
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.731204
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.725571
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.729366
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.729346
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.728817
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.729363
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.73074
Stopping. Best iteration:
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.725571

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03007
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00499
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.975868
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952913
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936704
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.914921
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900157
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.884397
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.874682
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.868935
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.863068
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.850241
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.834494
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.817922
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.80642
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.802527
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.7932
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.786215
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.773372
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.768299
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.764921
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.761139
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.752309
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.746687
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.742181
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.736315
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.731753
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.729059
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.725791
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.718767
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.71594
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.713115
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.710301
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.707238
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.706223
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.699838
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.696225
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.694564
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.694847
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.692156
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.689709
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.690242
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.689914
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.690397
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.688093
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.689506
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.68899
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.686885
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.684239
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.68106
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.679904
[52]	validation_0-merror:0.25	validation_0-mlogloss:0.67935
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.678514
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.67867
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.675829
[56]	validation_0-merror:0.25	validation_0-mlogloss:0.674478
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.678358
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.679384
[59]	validation_0-merror:0.25	validation_0-mlogloss:0.677412
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.677452
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.679479
Stopping. Best iteration:
[56]	validation_0-merror:0.25	validation_0-mlogloss:0.674478

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05463
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01756
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.986296
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.958132
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.934568
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915419
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897506
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.876489
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.865152
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.848719
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.838916
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829314
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.820507
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.81147
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799488
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787961
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.781379
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773113
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.768718
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.762154
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.756477
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.754098
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.748429
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.740114
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.736016
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.734745
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.733889
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.731193
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.727349
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.723415
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.71839
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.71545
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.71259
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.711016
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.706034
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.703413
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.699166
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.698606
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.698646
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.698005
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.694284
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.695389
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.694195
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.69331
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.69154
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.693195
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.695767
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.697584
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.699363
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.698719
Stopping. Best iteration:
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.69154

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01855
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989064
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961772
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.940064
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.919515
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.903489
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.88863
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.873529
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.863457
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.848874
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839976
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.828067
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.821968
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.810682
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.80288
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.797255
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.792426
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.784738
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.781177
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.776202
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.771778
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.766649
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.7638
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.759796
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.755036
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.752261
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.747059
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.742759
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.739032
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.735199
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.734674
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.730752
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.724968
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.723711
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.722547
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.720643
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.717421
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.714959
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.712443
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.710521
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.709574
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.709352
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.707819
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.70687
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.707657
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.708178
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.708475
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.706594
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.70784
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.70742
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.709599
[52]	validation_0-merror:0.35	validation_0-mlogloss:0.710333
[53]	validation_0-merror:0.35	validation_0-mlogloss:0.711539
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.706594

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05873
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02659
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994819
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975766
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950898
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935575
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.917964
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.907377
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.890409
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.877987
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.870411
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.857516
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.844253
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.837144
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.827991
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.82159
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.810362
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.803308
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.798675
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.793427
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.784638
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.781167
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.776585
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.774226
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.768252
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.766293
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.761933
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.757659
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.753197
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.749553
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.745431
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.742147
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.739144
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.734949
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.732503
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.729734
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.727961
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.724134
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.720588
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.717434
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.715681
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.712308
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.709619
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.707775
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.705956
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.705457
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.703585
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.702611
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.702859
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.702569
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.701136
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.702931
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.704638
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.702717
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.701187
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.699003
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.698846
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.699835
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.700708
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.699708
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.700119
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.699922
Stopping. Best iteration:
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.698846

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05454
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01463
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.9822
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.955615
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.931776
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.913098
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.895552
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.880132
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.863132
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.846846
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.833786
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.824876
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.815105
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.804833
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.800614
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789241
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.779974
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.770907
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.760611
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754982
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746132
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.739267
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.73437
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.723257
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.714561
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.707671
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.708066
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.702179
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.69876
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.695827
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.691834
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.692422
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.688897
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.691388
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.691054
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.688024
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.68946
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.690681
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.68889
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.683627
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.675682
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.67011
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.667334
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.668326
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.666626
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.665323
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.66299
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.662184
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.660986
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.659338
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.661757
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.661458
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.659788
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.663286
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.668191
Stopping. Best iteration:
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.659338

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06395
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02917
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999033
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.970131
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.94552
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.925685
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.905737
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.890569
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.871853
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.859315
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.848155
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.835616
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.83033
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.820576
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.807904
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.803908
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.797545
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.788559
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.780688
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773291
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.768193
[21]	validation_0-merror:0.416667	validation_0-mlogloss:0.759783
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.758224
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.752978
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.749441
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.748966
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.741942
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.73956
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.734909
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.731734
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.733466
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.734348
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.729515
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.728219
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.72284
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.727139
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.728933
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.725947
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.733486
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.733885
Stopping. Best iteration:
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.72284

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06211
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03224
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.999256
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971762
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.947726
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.927219
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905294
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.890735
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.874335
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.861712
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.851427
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.838289
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823456
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.816751
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.801883
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788527
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.781789
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.773436
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.770105
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.76371
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759973
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.76009
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.758411
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.753033
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.750118
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.749202
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741837
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.734787
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.727437
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.721695
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.722351
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.718707
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.718069
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.717947
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.715317
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.714295
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.713542
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.711467
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.707953
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.705266
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.703443
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.699808
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.703678
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.699506
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.700135
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.692635
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.691093
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.691129
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.686631
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.687933
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.691912
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.694804
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.69743
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.694256
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.686631

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02229
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.990559
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.96415
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.946726
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.926506
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.907379
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.89035
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.872961
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855413
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.843388
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.828312
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.814413
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.804051
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797568
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.788828
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.778822
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.773286
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.758015
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.751899
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.745049
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.738976
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.7298
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.722656
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.714605
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.70926
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.705972
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.701721
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.694291
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.693145
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.688011
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.687024
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.686299
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.685907
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.683467
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.678523
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.679332
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.676758
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.673516
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.670233
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.666696
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.663844
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.663372
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.66217
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.657106
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.654055
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.655617
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.652866
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.653801
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.652372
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.654629
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.655945
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.65284
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.653123
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.653675
Stopping. Best iteration:
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.652372

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05632
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02314
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.992235
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.960636
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.940681
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.923256
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.906129
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.895651
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.883245
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.868996
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.855931
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.843064
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.831737
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.818816
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.80744
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.797835
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.792381
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.784926
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.777896
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.772337
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.764535
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.754822
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.753099
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.748518
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.745734
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.744115
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.742775
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.739332
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.738515
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.736951
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.736036
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.734607
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.733096
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.730643
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.72989
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.730097
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.726686
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.727035
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.730482
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.727772
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.727965
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.729713
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.726686

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03007
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00499
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.977306
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.954358
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.937241
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.91707
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.902421
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.889056
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.881804
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.877556
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.871845
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.858006
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.844808
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.827697
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.82024
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.812215
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.806389
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.799095
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.787519
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.782137
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.779883
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.775958
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.766295
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.76181
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.757971
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.75329
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.748737
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.743776
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.74087
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.738969
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.735242
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.734073
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.731021
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.726351
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.726967
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.720841
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.717852
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.716474
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.7154
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.71277
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.709897
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.711822
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.711083
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.712369
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.709809
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.70988
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.708572
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.70744
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.707297
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.703833
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.701629
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.701452
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.70067
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.700907
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.701873
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.700878
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.70436
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.704825
Stopping. Best iteration:
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.70067

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05578
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01882
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.985716
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959843
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.937741
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.917387
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.897914
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.882293
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.86719
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.853065
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842513
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.828249
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.813641
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.804478
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.792855
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.78119
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.775523
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.767473
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759157
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.748415
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.743116
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.739769
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.731402
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.725833
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723062
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.716011
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.712119
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.712034
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.7068
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.707102
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.707303
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704799
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.704728
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.698576
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.693128
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.693797
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.691053
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.691348
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.689103
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.690211
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.690911
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.693063
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.69182
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.691123
Stopping. Best iteration:
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.689103

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05476
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01796
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987693
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962718
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.937965
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.921826
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.904217
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.891091
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.874965
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.861528
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.848994
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839101
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.829631
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.819943
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.80767
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.798418
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.794578
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.787632
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.780513
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773665
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767557
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.762991
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.759655
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.755734
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.753249
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.747941
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.744446
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.738096
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.730976
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.729905
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.728785
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.726812
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.726675
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.722664
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.720961
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.720269
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.721902
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.719204
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.718824
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.720519
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.719731
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.718147
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.717472
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.718671
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.722368
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.720306
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.720575
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.719522
Stopping. Best iteration:
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.717472

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02412
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.995513
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.97594
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.947806
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.928278
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.919282
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897538
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.889656
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.877901
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.866785
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.859452
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.849925
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.837891
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.830366
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818243
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.811189
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800721
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79639
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.790447
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.788132
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.783831
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.78267
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.777406
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.770662
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.766996
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.764135
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.758256
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.757225
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.75631
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.754438
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.751267
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.750464
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.7483
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.742434
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.73947
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.733606
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.733267
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.732009
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.727557
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.725039
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.723374
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.720179
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.718564
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.715649
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.713651
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.711513
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.711511
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.710254
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.708492
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.708729
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.707969
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.705895
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.703781
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.704397
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.702537
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.702671
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.701918
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.699435
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.698329
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.697871
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.697758
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.701306
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.702591
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.704588
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.702311
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.70213
Stopping. Best iteration:
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.697758

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05697
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01918
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.983916
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.957638
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.932588
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.913455
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.89567
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.880078
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.864669
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.847773
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.834669
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.825339
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.815144
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.805827
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.800968
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788534
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.774786
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767278
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757558
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.75022
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.740483
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.734083
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.729119
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.717579
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.707634
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.701141
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.700173
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.692468
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.68976
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.687779
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.685125
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.683955
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.681322
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.683797
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.686249
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.689483
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.690595
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.688025
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.681322

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.03271
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00122
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.969375
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.947148
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.92627
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.908422
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.89242
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.874827
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.862325
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.8505
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.837301
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.832115
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.822778
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.810398
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.804694
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.795412
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.78922
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.783662
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.776788
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.772086
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.764288
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.761689
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.756826
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.753576
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.753157
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.74351
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.740939
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.735985
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.728281
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.728333
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.729422
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.725056
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.721777
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.723785
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.727695
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.727339
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.728297
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.735964
Stopping. Best iteration:
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.721777

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06181
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03349
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.00053
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.973982
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.947938
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.929544
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.908451
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.891962
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.874415
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.860422
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.84885
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.836897
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.819597
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.811509
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.804252
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.792438
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.785856
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.775606
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.776941
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.769644
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.76875
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.768404
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767337
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.763454
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.760278
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.762071
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.753983
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.751685
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.74378
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.738438
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.738382
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.733986
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.732811
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.730454
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.728445
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.728781
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.728222
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.726304
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.72277
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.717693
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.715398
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.709602
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.712609
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.707025
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.705955
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.698348
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.699511
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.700434
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.699821
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.69839
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.70223
Stopping. Best iteration:
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.698348

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05637
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02384
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.991841
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.966058
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.948646
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.930454
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.911384
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.894372
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.879628
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863447
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.850231
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.833465
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.818049
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.809735
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.802658
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.79232
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.782999
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.776564
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.771508
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.765107
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.757869
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.751377
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741042
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.73495
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.726319
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.727339
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.724906
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.723207
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.720216
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.719267
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.714681
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.713121
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.709996
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.706736
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.703257
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.697555
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.697869
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.692456
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.690083
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.686598
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.687312
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.684085
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.680644
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.679093
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.678937
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676171
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.678803
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.677713
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.675332
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.672116
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.669293
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.672358
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.671623
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.670756
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.668803
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.669747
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.671531
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.668769
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.666308
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.662986
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.665558
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.666422
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.668474
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.667523
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.666153
Stopping. Best iteration:
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.662986

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05493
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02386
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.991762
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.960148
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.939114
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.920154
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.903413
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.892188
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.881358
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.867893
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.854995
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.844272
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.834689
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.820601
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.812763
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.803152
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.793682
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.788214
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.783594
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.776092
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.768428
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.763441
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.763912
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.758891
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.755548
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.75477
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.746412
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.741678
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.737863
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.735891
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.734232
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.732064
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.729199
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.727037
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.725495
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.725741
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.723762
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.724124
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.7268
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.724665
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.724868
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.726947
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.723762

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03007
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00499
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.977399
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957182
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.941243
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.920945
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.906452
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.892301
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.884982
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.88074
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.874916
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.860429
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.847938
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.831665
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.824005
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.817987
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.812127
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.804731
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.793742
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.789305
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.785824
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.78148
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.775375
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.771783
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.76691
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.759575
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.754373
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.752211
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.748749
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.748663
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.746385
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.743586
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.740791
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.735064
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.736752
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.73261
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.72938
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.727463
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.728898
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.726488
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.72419
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.726237
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.722661
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.723662
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.721697
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.723464
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.720968
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.717691
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.718535
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.715026
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.716929
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.717806
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.717213
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.715516
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.716538
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.715026

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05912
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02403
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.995271
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.968259
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.948169
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.92899
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.911982
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.898171
[8]	validation_0-merror:0.433333	validation_0-mlogloss:0.886244
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.873287
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.859437
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.850398
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.834789
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.823533
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.814723
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.803935
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.796539
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.78672
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.779657
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.769546
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.764554
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.758892
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754619
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.749056
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.747287
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.743077
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.737306
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.738235
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.738322
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.738864
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.736611
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.735418
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.736946
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.734883
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.734755
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.732684
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.733328
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.728388
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.727032
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.725162
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.720927
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.721867
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.72224
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.720803
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.718567
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.717314
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.718792
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.716715
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.716676
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.715989
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.712159
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.714842
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.713195
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.713863
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.709593
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.707573
[56]	validation_0-merror:0.333333	validation_0-mlogloss:0.711131
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.708882
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.70608
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.705089
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.703442
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.704418
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.702298
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.704053
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.701674
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.70143
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.702163
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.69984
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.699506
[69]	validation_0-merror:0.3	validation_0-mlogloss:0.700102
[70]	validation_0-merror:0.3	validation_0-mlogloss:0.701531
[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.701011
[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.700804
[73]	validation_0-merror:0.283333	validation_0-mlogloss:0.700565
Stopping. Best iteration:
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.699506

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05601
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02212
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992362
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969757
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.945534
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.927752
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.910943
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.895952
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.880061
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.866914
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.853781
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.843783
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.832132
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.824767
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.814258
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.805015
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.79889
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.792041
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.784245
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.777697
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.772632
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769954
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.767687
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.760498
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.756656
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.753349
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.75314
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.747878
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.744066
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.741579
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.737151
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.738176
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.735128
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.733542
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.729727
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.726218
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.726551
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.725061
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.723864
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.722677
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.72404
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.721647
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.721951
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.722167
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.722078
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.719546
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.719221
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.72041
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.720141
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.723041
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.722047
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.724825
Stopping. Best iteration:
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.719221

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02412
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.994563
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975064
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.948229
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.931659
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.916934
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900914
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.890337
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.882763
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.86947
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.864794
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.854751
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.845178
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.836971
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.829775
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.822792
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.820153
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.813469
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.807123
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.802133
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.798147
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.793569
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.787742
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.783745
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.779265
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.774073
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.767268
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.763551
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.762603
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.756402
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.753898
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.750574
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.744653
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.744444
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.741405
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.738321
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.733831
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.729924
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.728978
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.725975
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.724506
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.72299
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.719829
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.718363
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.718703
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.715215
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.71525
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.713418
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.710343
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.712827
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.711836
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.710703
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.710165
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.708656
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.708096
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.706348
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.705002
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.703472
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.702243
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.703317
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.703241
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.703153
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.702035
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.702073
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.702741
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.701373
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.70189
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.699819
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.700267
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.701077
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.701391
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.703709
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.701603
Stopping. Best iteration:
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.699819

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05516
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02058
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.986902
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.960218
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.934936
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914933
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.89744
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.881877
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.865274
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.848337
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.835108
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.824275
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.813079
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.802896
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.798424
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.784897
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77583
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767203
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.756578
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.74926
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.739955
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737452
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.733114
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724698
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.715152
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.709304
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.707742
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.700456
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.696056
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.692224
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.686602
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.684355
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.682688
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.682438
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.682169
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.684088
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.686488
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.686313
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.685294
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.682402
Stopping. Best iteration:
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.682169

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06547
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.032
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00396
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.971663
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.950777
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.931781
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.912812
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.897681
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.87755
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.867767
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.856327
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.841878
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.836957
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.825497
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.812893
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.807875
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.79853
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.789133
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.784061
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.776655
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772763
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.766856
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.765603
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.762479
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.758678
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.759124
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.748773
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.745661
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.740361
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.730961
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.732342
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.731532
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.725661
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.722243
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.722159
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.725895
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.725472
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.726059
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.732658
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.733515
Stopping. Best iteration:
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.722159

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06317
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03297
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00295
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.976836
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.952524
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.931159
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.911969
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895345
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.877186
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.860454
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852082
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.840681
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.824878
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.817665
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.810523
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.79889
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.792955
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.783861
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.78535
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.778304
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.777504
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.773347
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.769954
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.765414
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.763254
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.760017
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.751366
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.747702
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.739756
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.734507
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.731116
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.726934
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.726071
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.725521
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.726249
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.725936
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.72586
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.724103
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.724917
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.721298
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.718187
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.712786
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.713178
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.710968
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.710588
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.707649
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.708919
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.710238
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.706515
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.704751
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.708611
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.709382
[52]	validation_0-merror:0.35	validation_0-mlogloss:0.712273
[53]	validation_0-merror:0.366667	validation_0-mlogloss:0.707485
[54]	validation_0-merror:0.366667	validation_0-mlogloss:0.70983
Stopping. Best iteration:
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.704751

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05629
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.023
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.98929
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.96207
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.940075
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.921563
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.902464
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.882888
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.869856
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.851622
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.840958
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824618
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.810154
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.803534
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.796046
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.783909
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775269
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.770575
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.760245
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.75353
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746612
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740629
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.731661
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.726915
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.72265
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.717798
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.716397
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712877
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.708592
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707548
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.702972
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703105
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700061
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.700236
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.699492
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.693581
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.695556
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.692212
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.68952
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.686705
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.688439
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.684221
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.681488
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.679233
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.678749
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676714
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.676032
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.675803
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.679383
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.677609
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.677864
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.680768
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.678595
Stopping. Best iteration:
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.675803

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05817
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02689
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994916
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.964102
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.942405
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.922801
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.907278
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.894255
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.878844
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.864468
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.853002
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.842457
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.832935
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.818956
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.8105
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.802403
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.791081
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.784871
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.779872
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.772512
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.76492
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.75989
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.761948
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.756476
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.752642
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.752155
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.746077
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.741283
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.737026
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.735017
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.733734
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.731341
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.728326
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.727616
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.726861
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.728205
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.725372
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.727198
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.730473
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.727987
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.727509
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.728297
Stopping. Best iteration:
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.725372

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0602
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02954
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00448
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976907
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955616
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.9402
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.918846
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.904401
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.891229
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.88354
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.881678
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.876227
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.862392
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.852944
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.839514
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.833423
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.82648
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.820173
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.811068
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.803809
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.798833
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.793939
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.792221
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.786719
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.782477
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.778088
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.77217
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.770853
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.765387
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.763538
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.763526
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.761217
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.759733
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.754573
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.751749
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.752218
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.752102
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.748713
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.746973
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.744218
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.74099
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.738586
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.738218
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.736855
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.735796
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.73545
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.734088
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.73221
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.731242
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.730554
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.729801
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.72985
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.731914
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.730381
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.733085
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.733651
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.729801

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05908
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02634
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.99714
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.971102
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.951412
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.932375
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.915287
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.901194
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.887454
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.875624
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.865081
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.854588
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.845945
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.830317
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.816882
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.812255
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.799933
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.789782
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.782704
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.775686
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.770174
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.767811
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.764588
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.763545
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.760117
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.75741
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.753893
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.753182
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.750727
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751225
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.749876
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.744214
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.744501
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.742093
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.737774
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.734351
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.734579
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.732065
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.731541
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.729005
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.727395
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.727653
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.727571
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.727184
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.726734
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.72283
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.722194
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.718953
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.716846
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.714221
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.712129
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.714377
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.710455
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.707958
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.707786
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.706336
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.705858
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.704507
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.702848
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.703055
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.704152
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.702605
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.700554
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.700595
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.699292
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.699719
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.698988
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.699254
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.697414
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.699228
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.698823
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.698409
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.697833
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.69792
Stopping. Best iteration:
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.697414

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05513
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01983
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990578
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.966793
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941737
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923955
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.908105
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.891598
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.877591
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863862
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.851508
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.841273
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.831493
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.823549
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.815229
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.805702
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.800349
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.794707
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.785836
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.779122
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.772966
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.767883
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.762341
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.757544
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.754145
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.746325
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.744342
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.737727
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.737374
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.733455
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.729751
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.730369
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.727748
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.724424
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.72467
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.724495
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.72175
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.721044
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.717799
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.720324
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.718287
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.719521
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.719715
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.719305
Stopping. Best iteration:
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.717799

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02412
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.994563
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975064
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.948388
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.930354
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.915711
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900306
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.889916
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.881443
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.871604
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.866551
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.856969
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.852287
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.842581
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.838784
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.833819
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.828841
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.828159
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.822714
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.818137
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.811025
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.808905
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.79845
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.794665
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.79168
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.783504
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.782028
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.779132
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.776676
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.776487
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.769664
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.768361
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.767628
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.764184
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.763065
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.759225
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.752512
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.753163
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.748964
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.747243
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.74384
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.74327
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.741537
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.741049
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.737133
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.734674
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.732469
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.730758
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.731181
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.7304
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.730126
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.728252
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.724826
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.724457
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.722752
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.719242
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.718681
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.717573
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.715751
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.716438
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.715615
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.717248
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.716874
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.718474
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.718621
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.717876
Stopping. Best iteration:
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.715615

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0498
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0088
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.976681
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.949364
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.921805
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.897095
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.878475
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.861539
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.83945
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.822906
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.813147
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.803992
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.798034
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.790779
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.784391
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.774493
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.764726
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.758057
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.748375
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.740978
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.734444
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.734012
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.731861
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.729099
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.720903
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.716593
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.717441
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.709687
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.710911
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.710005
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.707384
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.707148
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.712952
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.712845
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.712963
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.713205
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.71569
Stopping. Best iteration:
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.707148

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05777
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01552
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.976628
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.945101
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.924549
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.904074
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.88674
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.872299
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.853383
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.848267
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.837131
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.827738
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.829154
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.819818
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.805693
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.793544
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.784618
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.784177
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.776115
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.771437
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.769132
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.765673
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767141
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.759134
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.757741
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.762714
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.762985
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.767031
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.767777
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.766899
Stopping. Best iteration:
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.757741

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0523
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01734
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.988807
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.956223
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.926318
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904185
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.884726
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868204
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.857474
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.840721
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.837976
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.829212
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.810988
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.808085
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.796604
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.780697
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.775825
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.760315
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.764389
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.762308
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.76173
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.759095
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.755694
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.756888
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.756408
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.751944
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.753613
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.748336
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.747562
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.745836
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.744269
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.743405
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.743964
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.744511
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.742494
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.745161
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.748386
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.743279
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.742007
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.744403
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.744192
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.743568
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.748645
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.745995
Stopping. Best iteration:
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.742007

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.04643
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00166
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.961866
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.938403
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.912615
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.886898
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.866371
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.845911
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.827093
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.813105
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.799353
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.782511
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.77298
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.765898
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.754496
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.750749
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.743646
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.739066
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.729175
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.725113
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.717647
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.707305
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.70351
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.696755
[24]	validation_0-merror:0.233333	validation_0-mlogloss:0.689109
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.684184
[26]	validation_0-merror:0.233333	validation_0-mlogloss:0.682808
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.680386
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.680578
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.678836
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.674755
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.67996
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.679746
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.681724
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.679362
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.676715
Stopping. Best iteration:
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.674755

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05168
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01211
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.975949
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.936936
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.910434
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.894564
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.881011
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.865692
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.851077
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.842255
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.833275
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.825752
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.823645
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.820479
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.811413
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.808747
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.801083
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.799426
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.792718
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.787016
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.784652
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.777038
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.781945
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.7784
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.777007
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.776218
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.775044
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.769515
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.771523
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.772693
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.777556
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.78069
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.783953
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.769515

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05016
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00679
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.975942
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.941683
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.923681
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.908509
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.888521
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.870044
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.852572
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.847781
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.837723
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.835509
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.828308
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.821087
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.816994
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.80793
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.802137
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.791115
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.789544
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.778177
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.773427
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.772919
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.769563
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.769815
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.763887
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.759441
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.757976
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.756304
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.758274
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.762107
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.767603
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.769154
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.767977
Stopping. Best iteration:
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.756304

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04308
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:0.997542
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.96152
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.931366
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.907141
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.883906
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.864809
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.847118
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.832579
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.814731
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.799987
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.789118
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.775636
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.769423
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.760028
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.74906
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.746364
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.742746
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.739179
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.73216
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.723949
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.719113
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.712682
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.71441
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.708849
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.706357
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.704855
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.703537
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.702362
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.697743
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.696399
[31]	validation_0-merror:0.233333	validation_0-mlogloss:0.694942
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.688147
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.68677
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.684456
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.683182
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.68009
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.67998
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.680518
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.679001
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.679756
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.677171
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.675411
[43]	validation_0-merror:0.25	validation_0-mlogloss:0.675812
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.67744
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.676108
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.676055
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.678609
Stopping. Best iteration:
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.675411

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04824
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00656
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.968465
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.940066
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.9158
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.891116
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.877802
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868125
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.861959
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.855846
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.851381
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.840694
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.828882
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.824129
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.814014
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.812801
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.805943
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.798876
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.802119
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.800617
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.796345
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.801909
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.800154
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.805368
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.806102
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.804376
Stopping. Best iteration:
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.796345

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05026
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00947
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.97369
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.946729
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.918815
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.89899
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.878539
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.863341
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.859106
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.854625
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.843221
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.83592
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.832653
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.829986
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.831012
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.826985
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.825737
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.826753
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.826745
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.829522
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.830766
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.833287
Stopping. Best iteration:
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.825737

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04768
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00533
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977055
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.950388
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.923979
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.90174
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.883227
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.870327
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.850313
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.835435
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.824861
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.817748
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.814322
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.808805
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.801338
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.792239
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.788295
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.782208
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.774245
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.767138
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.757708
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.753174
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.748576
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.74186
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.734225
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.728032
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.726156
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.721102
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.713575
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.713745
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.712585
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.711765
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.715023
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.71197
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.709593
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.713144
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.716474
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.722873
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.721942
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.71626
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.709593

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06043
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02067
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.984991
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951411
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.928332
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.909748
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.888928
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.869725
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851878
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.843345
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.834847
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.827152
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.824725
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.812885
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.803566
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.793074
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.789635
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.787051
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.780805
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.771706
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.770002
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.764504
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.764431
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.760254
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.758515
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.761993
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.760464
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.76917
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.761342
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.76003
Stopping. Best iteration:
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.758515

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05143
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01565
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984354
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.953167
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.923683
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904745
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.887451
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.874576
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.85841
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.843961
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.841112
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.830698
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.815527
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.81291
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.796094
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.780989
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.771932
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.757893
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759943
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759945
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.760433
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.755936
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.750206
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.748948
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.75432
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.755119
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.750569
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.745106
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.739364
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.742666
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.740984
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.74274
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.744487
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.742522
Stopping. Best iteration:
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.739364

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04882
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00763
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.968385
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.940199
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.917693
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.892025
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870285
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.85092
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.83895
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.820501
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.80936
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.793636
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.779796
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.77253
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.766214
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.758215
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.751373
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.748492
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.740467
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.733827
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.723085
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.71535
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.711463
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.706503
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.702125
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.697843
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.697452
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.690684
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.687518
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.689063
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.686037
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.688589
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.691433
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.691102
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.693132
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.690327
Stopping. Best iteration:
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.686037

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04904
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977373
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.938858
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.916988
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.901405
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.883356
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.871895
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.853407
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.839566
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.831546
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.819974
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.813166
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.810696
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.799697
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.794885
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.788653
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.788626
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.782644
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.778666
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.777406
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769532
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.769772
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.76344
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.759564
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.755679
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.750756
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.74975
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.750142
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.750361
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.75349
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.751091
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.754824
Stopping. Best iteration:
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.74975

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05179
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00871
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.978853
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.941625
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.922031
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903636
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.879789
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.859906
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.851342
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.847918
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.840283
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.837431
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823911
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.815199
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.801727
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.792652
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.786254
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.779506
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.778627
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.771871
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.764283
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.762591
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.759498
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.756687
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.750318
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.75132
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.749838
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.749421
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.751991
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.752166
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.749758
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.749608
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.743689
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.744786
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.743977
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.748293
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.738642
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.742428
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.744107
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.746372
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.749566
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.747527
Stopping. Best iteration:
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.738642

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.0476
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00459
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.971758
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.940936
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.914818
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.894101
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.874383
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.856188
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.839968
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.825576
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.813633
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.805755
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.800397
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.790685
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.785345
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.780231
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774003
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765787
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.760566
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.754795
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.747477
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.746105
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.740075
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.737611
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.736389
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.734728
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.734095
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.732786
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.730642
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.730191
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.728623
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.723146
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.721147
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.721669
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.7215
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.719322
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.720391
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.718705
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.720244
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.719253
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.720889
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.723953
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.722352
Stopping. Best iteration:
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.718705

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04789
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0056
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.96983
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.941959
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.914
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.887984
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.867029
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.856004
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.841459
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.830587
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.824502
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.82251
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.815382
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.803098
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.805102
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.795149
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.797782
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.791706
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.786967
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.790218
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.784178
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.778932
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.781018
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.773192
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.775263
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.772598
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.776416
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.7777
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.777529
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.781445
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.77862
Stopping. Best iteration:
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.772598

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.0061
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.971021
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.93929
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.918285
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.8948
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.879214
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.863474
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855455
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.84401
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830015
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824423
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.819176
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813857
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.810589
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.80661
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.805927
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.804268
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.799251
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.792015
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.78624
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.785733
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.78674
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.781746
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.782412
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.779728
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.77725
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.773638
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.77137
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.771114
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.767076
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.766769
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.767652
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.76796
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.768878
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.77321
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.776953
Stopping. Best iteration:
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.766769

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0474
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00758
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978024
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.947655
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.922339
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.903606
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.885703
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868012
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.851138
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.836174
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.825118
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.814375
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.806655
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.796847
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.788266
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.782554
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.777395
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.770972
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.764352
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.758168
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.74972
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.744336
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.743155
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.735713
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.727397
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.722967
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.724625
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.719273
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.713544
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.715856
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.715945
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.716646
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.720014
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.72461
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.713544

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06082
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02105
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.986827
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.951891
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.925831
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.904262
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.885809
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.870844
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.853053
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.844616
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.837065
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.828397
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.826082
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.817574
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.812642
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.800631
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.794375
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.791543
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.786249
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.781131
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.78173
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.771007
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.767438
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.764332
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.761996
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.759048
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.7537
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.752595
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.742512
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.741182
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.743472
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.744374
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.74204
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.744959
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.752711
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.741182

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06157
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02902
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994876
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.964174
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.943566
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.923462
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.902388
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.888746
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.87231
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.858631
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.852933
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.838482
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.824708
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.818581
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.802619
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78694
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.778561
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.770973
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.7694
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.763948
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.767305
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.767923
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.764384
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.761516
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.761803
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.759849
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.753907
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.747568
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.740475
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.739963
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.737371
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.736995
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.739316
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.742003
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.739843
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.738933
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.739436
Stopping. Best iteration:
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.736995

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04806
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00581
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.971205
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.944102
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.921002
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.898268
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.877656
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.856559
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.840512
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.822826
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.812807
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.794815
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.784101
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.778302
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.772288
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.76306
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.754067
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.749371
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.741356
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.739311
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.731846
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.724416
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.718986
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.715916
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.712631
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.707792
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.705172
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.698175
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.695268
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.69665
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.696443
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.694161
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.69574
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.695461
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.697348
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.697581
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.69847
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.694161

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04893
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01208
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.974345
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.936514
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.917144
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.90314
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.886206
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.872624
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.857509
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.844678
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.833061
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.825441
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.818925
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.810997
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.798649
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.792042
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.786896
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.783333
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.777879
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77482
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.773332
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.766459
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.77155
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.767119
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.762952
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.763825
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.759835
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.758231
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.758128
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.761158
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.762767
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.767659
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.766877
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.770161
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.758128

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05153
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01114
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.978257
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.942683
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.924223
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.908901
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.885982
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.866379
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.856405
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.851358
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.848961
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.845082
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.835102
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.83264
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.821676
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.812203
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.802816
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.795707
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.794099
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.78575
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.777766
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.775948
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.770099
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.767304
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.76809
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.768996
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.768222
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.763487
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.765573
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.766112
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.770246
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.769948
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.767683
Stopping. Best iteration:
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.763487

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04531
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00284
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.967918
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.936955
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.909614
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.889272
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.872563
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.855737
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.842505
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829982
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.817192
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807859
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.800604
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.795757
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788036
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.784446
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.776713
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.772248
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.768737
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.763789
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.759225
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.758717
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.757218
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.755899
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.757583
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.755556
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.753195
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.749023
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.749395
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.743943
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.743541
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.74346
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.741953
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.740373
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.735733
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.734588
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.732665
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.730454
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.728192
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.724187
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.722692
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.720483
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.716794
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.717413
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.717057
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.716839
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.713899
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.713491
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.712796
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.713363
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.712682
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.713734
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.716947
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.715859
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.717198
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.717296
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.712682

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04812
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00296
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.965932
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.934266
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.907489
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.886719
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.869001
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.848628
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.834785
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.826323
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.816756
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.8033
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.795049
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.788519
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.783934
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781664
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774988
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.771612
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.765488
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.765641
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.763869
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.7604
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.760542
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.755213
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.755349
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.756782
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755546
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.754695
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.753711
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.756821
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.755424
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.755926
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.759003
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.759881
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.753711

[0]	validation_0-merror:0.266667	validation_0-mlogloss:1.04513
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00672
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.9738
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.9445
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.920481
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.900329
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.881901
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.870213
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.8566
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.842111
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.83348
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.824557
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.822292
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.817244
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.814152
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.814138
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.813865
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.812499
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.810448
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.807032
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.801907
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.801146
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.799648
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.800547
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.799634
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.800605
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.794687
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.794751
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.792767
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.78892
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.78944
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.787215
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.782327
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.781446
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.777484
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.778386
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.777928
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.777508
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.778469
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.77751
Stopping. Best iteration:
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.777484

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04875
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01121
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977567
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.947872
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.924403
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.903748
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886604
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.869815
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.85653
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.83923
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.829076
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818297
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809294
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.803847
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799683
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788482
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774202
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.77075
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.764825
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759842
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.749726
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.746083
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.741039
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.729677
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.722365
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.715571
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.717046
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.706763
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.705651
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.705971
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.706593
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.707086
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.705211
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70567
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.703797
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.702526
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.706292
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.709785
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.707457
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.706639
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.704504
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.702526

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0218
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.989858
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957424
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.935012
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.914057
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.894948
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.880959
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.860954
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.850463
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.840686
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.828062
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.824578
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.81621
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.806313
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.796442
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.785719
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.782741
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.780629
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.774884
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772435
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.768989
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.768821
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.765484
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.761578
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.763524
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.756947
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.754421
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.751784
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.750315
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.750257
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.751317
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.751253
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.75167
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.758378
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.762311
Stopping. Best iteration:
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.750257

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.996558
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.966141
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.944445
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.926224
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.910136
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.896024
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.879339
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.868083
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.860432
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.850331
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.834639
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.828052
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.819384
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.809188
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.802549
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.796549
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.793422
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.789594
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.789877
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.783844
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.781792
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.775077
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.773005
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.771154
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.763135
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.76105
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.756077
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.755162
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.750899
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.748328
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.750525
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.749486
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.74846
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.74824
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.748448
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.745642
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.743991
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.739252
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.739107
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.735036
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.740112
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.737564
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.735593
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.732688
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.735443
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.738346
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.738596
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.736602
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.73836
Stopping. Best iteration:
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.732688

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04907
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0104
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978422
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.951302
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.92994
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.909073
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.888078
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869152
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.853425
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.835996
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.823556
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.805646
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.793714
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.787622
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.784461
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.776047
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.766222
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.76101
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.754606
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.751225
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.742621
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.736655
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.728748
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.727662
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.721784
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.723695
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.723106
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.717596
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.716796
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.716471
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.715738
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.714829
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.713514
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.712248
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.711887
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.706411
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.710599
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.70792
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.707669
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.707344
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.709316
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.706411

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05123
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01506
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.981119
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.945686
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.922719
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.903699
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.88385
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.874121
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.860267
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.845425
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.83195
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.825662
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.818626
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.810394
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.798439
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.790264
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.782407
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.777349
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.772287
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.765587
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.765001
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.759924
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.765709
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.760493
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.763343
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765846
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.761355
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.759924

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01394
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.984919
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.954291
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.93538
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.921099
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.900318
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.883399
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.877171
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.872253
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.868365
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.860731
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.851103
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.845948
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.834466
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.823466
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.814727
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.811054
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.807171
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.798103
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.793344
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.795635
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.78938
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.786899
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.785194
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.782468
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.778387
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.778799
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.781112
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.781618
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.781675
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.783696
Stopping. Best iteration:
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.778387

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05115
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01325
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.98193
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.955006
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.93031
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.911834
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.895944
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.881547
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.8685
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.856251
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.8469
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839339
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.831672
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.823979
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.818041
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.810131
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.805457
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.79848
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.790998
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.780181
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.780152
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.780535
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.777905
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.772921
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.766286
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.763865
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.763611
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.761868
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.760558
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.759353
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.759326
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.759995
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.75988
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.759797
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.760706
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.75872
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.758569
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.756658
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.756906
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.75657
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.755244
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.756957
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.754077
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.755765
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.755
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.755095
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.75452
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.756323
Stopping. Best iteration:
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.754077

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04787
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00745
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.972475
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.943128
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.92014
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.901041
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.880186
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.865568
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.849326
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.839123
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.826499
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.819813
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.812505
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.803634
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.803521
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.794649
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.79216
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.786905
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.781376
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.778346
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.778392
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.776533
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.776139
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.774909
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.773241
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.770616
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.774549
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.774187
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.771707
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.769946
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.770309
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.768874
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.769302
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.769143
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.768994
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.770508
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.775308
Stopping. Best iteration:
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.768874

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05321
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01381
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.980598
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.952795
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.933627
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915639
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.904275
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.884354
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.873737
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.86142
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853742
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.843255
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.836781
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.833186
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.829259
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.832337
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.831073
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.826047
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.818399
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.813242
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.810666
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.806088
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.806692
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.802937
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.799688
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.795901
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.793924
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.791371
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.78925
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.788676
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.781138
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.781831
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.777357
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.780316
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.780385
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.78025
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.780796
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.782098
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.777357

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04813
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.979981
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.948866
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.92424
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903444
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.886666
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869369
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.856154
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.838828
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.825544
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.817157
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.808508
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.798634
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.794625
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.785892
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776691
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.770262
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.764369
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.757989
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749589
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.746166
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.744183
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.737319
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.72929
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.723535
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.723494
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.717161
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.717229
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.716414
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.716598
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.714756
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.716516
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.713769
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.713123
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.7136
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.716418
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.721258
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.717927
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.718563
Stopping. Best iteration:
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.713123

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06499
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02584
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.993767
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.95958
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.936225
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.916867
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.897363
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.881761
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.862691
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.853387
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.842763
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.831289
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.827274
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.81853
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.807709
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.797358
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.785321
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.780017
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.776471
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.767566
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.76287
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.758627
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.757603
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.75531
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.753041
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.758217
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.750837
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.747635
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.745888
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.742875
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.745412
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.747243
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.747818
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.745724
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.745604
Stopping. Best iteration:
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.742875

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06089
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999297
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.972535
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.952066
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.932104
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.914543
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900356
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.885481
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.869725
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.86365
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.850766
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.835237
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.828663
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.817126
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.806214
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.798349
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.790243
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789218
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.781443
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.780399
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.774507
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.769566
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.762824
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.75792
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.754441
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.750182
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.748229
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.745251
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.742697
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.738121
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.735327
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.734444
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.734674
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.732126
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.732562
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.732601
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.730499
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.733754
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.729595
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.727307
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.722268
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.722862
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.722643
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.722192
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.719764
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.72177
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.7215
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.717819
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.717156
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.716858
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.718457
[52]	validation_0-merror:0.35	validation_0-mlogloss:0.721841
[53]	validation_0-merror:0.35	validation_0-mlogloss:0.718333
[54]	validation_0-merror:0.35	validation_0-mlogloss:0.719212
[55]	validation_0-merror:0.35	validation_0-mlogloss:0.721025
Stopping. Best iteration:
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.716858

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0504
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01679
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.981501
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.953698
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.932855
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.911086
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.889759
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.870229
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.852128
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.835111
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.822358
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.805683
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.794167
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.786294
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.779969
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.772543
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.764432
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763352
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.755185
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.751771
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.746576
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747056
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.742505
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.737377
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.73383
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.728619
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.726883
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.721601
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.718001
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.719964
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.716425
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.714893
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.715111
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.716718
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.718332
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.716
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.715783
Stopping. Best iteration:
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.714893

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05652
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.01859
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.984893
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.95369
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.929516
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.913962
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.899117
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.887758
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.873805
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.85748
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842415
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833568
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.823851
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.814303
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.806346
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.802536
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.795911
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.78853
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.779431
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.774635
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.774252
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.768162
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.769239
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.765236
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.766692
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.766927
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.758958
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.758422
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.761568
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.762656
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.763908
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.763707
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.761293
Stopping. Best iteration:
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.758422

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994168
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.9616
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.939726
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.923532
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.903311
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.88574
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875029
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.86751
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.851802
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.842485
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.83437
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.829905
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.821908
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.816407
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.813
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.80906
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.804461
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.791579
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.786963
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.789148
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.786028
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.782875
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.782179
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.785141
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.781686
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.779089
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.782253
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.779684
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.778055
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.774742
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.773274
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.771824
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.770439
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.775134
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.774881
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.773437
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.769903
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.770235
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.769055
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.767758
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.766233
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.763651
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.760731
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.762917
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.761793
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.760957
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.760898
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.760442
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.760774
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.76198
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.766387
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.765581
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.764257
Stopping. Best iteration:
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.760442

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05091
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01348
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.982202
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.955446
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.933936
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.913254
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.896802
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.882665
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.86913
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.857459
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.848201
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.838772
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.831267
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.824206
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.816389
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.811838
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.80632
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.802719
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.800383
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.797686
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.794732
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.79349
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.792564
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.791715
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.786162
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.784315
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.779517
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.779301
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.777468
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.77458
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.772229
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.769707
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.76753
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.766655
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.766401
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.765121
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.763229
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.763973
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.762505
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.761797
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.761226
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.763004
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.761077
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.761599
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.76181
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.762641
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.761957
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.759367
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.759849
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.758093
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.75763
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.753938
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.754118
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.754035
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.750005
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.749818
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.748304
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.746393
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.746145
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.745934
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.743423
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.742175
[62]	validation_0-merror:0.333333	validation_0-mlogloss:0.741402
[63]	validation_0-merror:0.316667	validation_0-mlogloss:0.739675
[64]	validation_0-merror:0.333333	validation_0-mlogloss:0.739272
[65]	validation_0-merror:0.316667	validation_0-mlogloss:0.738531
[66]	validation_0-merror:0.316667	validation_0-mlogloss:0.737034
[67]	validation_0-merror:0.316667	validation_0-mlogloss:0.73768
[68]	validation_0-merror:0.316667	validation_0-mlogloss:0.736857
[69]	validation_0-merror:0.316667	validation_0-mlogloss:0.735615
[70]	validation_0-merror:0.316667	validation_0-mlogloss:0.737461
[71]	validation_0-merror:0.316667	validation_0-mlogloss:0.737455
[72]	validation_0-merror:0.316667	validation_0-mlogloss:0.738594
[73]	validation_0-merror:0.316667	validation_0-mlogloss:0.737826
[74]	validation_0-merror:0.316667	validation_0-mlogloss:0.739621
Stopping. Best iteration:
[69]	validation_0-merror:0.316667	validation_0-mlogloss:0.735615

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04766
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00744
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.974288
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.945858
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.920785
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.898935
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.882828
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.867971
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.858565
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845528
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.836652
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.832129
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.826528
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.818771
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.810729
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.804297
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.801456
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.794283
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.793742
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.78876
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.787383
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.788425
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.790531
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.787978
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.78945
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.785953
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.7801
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.781214
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.782126
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.780223
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.7785
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.780153
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.780269
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.784554
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.788423
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.790507
Stopping. Best iteration:
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.7785

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0529
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01442
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978862
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.95887
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.928823
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.906878
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.891906
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.878852
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.868899
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.856444
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.846396
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.837342
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.829705
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.827245
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.824027
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.819972
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.816917
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.810005
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.807977
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.804541
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.80095
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.79913
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.79502
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.79276
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.789494
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.785908
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.784337
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.782019
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.781319
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.776926
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.773958
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.774007
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.771345
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.768197
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.765794
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.768035
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.76714
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.764501
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.76529
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.765197
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.763195
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.762552
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.760982
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.757988
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.755851
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.756891
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.756689
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.760151
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.760416
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.763583
Stopping. Best iteration:
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.755851

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05034
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00711
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.975962
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.947347
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.920986
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.898685
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.875933
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.859909
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.837469
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.820452
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.811682
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.799737
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.793188
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.785242
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.781192
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.773584
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.766549
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.763065
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.753021
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.746778
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.742819
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.743959
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.743547
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.739359
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.730833
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.725048
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.725493
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.71834
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.719552
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.72114
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.722414
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.72446
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.72833
Stopping. Best iteration:
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.71834

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0609
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01806
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.981144
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.953135
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.929783
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.910155
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.890363
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.877802
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.863986
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.859616
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.849916
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.842802
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.841613
[13]	validation_0-merror:0.416667	validation_0-mlogloss:0.838079
[14]	validation_0-merror:0.416667	validation_0-mlogloss:0.827244
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.816104
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.812378
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.813977
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.811606
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.806769
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.807752
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.80076
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.799715
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.793293
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.793133
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.795727
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.794159
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.793097
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.789394
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.789015
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.789728
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.79078
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.787278
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.787493
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.789144
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.801083
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.802801
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.806304
Stopping. Best iteration:
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.787278

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05698
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02044
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.990111
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957535
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925723
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.90543
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.882528
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.863585
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.853248
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.83863
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.838416
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.821761
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.804673
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.801816
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.787991
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.773243
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.764666
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.751143
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.752188
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.747782
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.745464
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.742827
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.742184
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.741465
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.741268
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.737204
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.746008
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.747227
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.746301
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.744909
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.743808
Stopping. Best iteration:
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.737204

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.04622
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00754
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.967276
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.943122
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.91686
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.891302
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.871318
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.851106
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.832518
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.819304
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.810132
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.788589
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.780055
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.772979
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.764304
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.758075
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.753387
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.746411
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.742528
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.741649
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.729196
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.721769
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.717705
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.713057
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.711079
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.706872
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.706211
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.705331
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.705851
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.705137
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.705352
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.711506
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.71108
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.714095
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.714722
Stopping. Best iteration:
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.705137

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05467
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01619
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977655
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.937724
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.913535
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.897517
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.883878
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.866431
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.850509
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.843875
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.835705
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.822252
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.814005
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.808219
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.794338
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.789737
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.785883
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.784213
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.781074
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.778394
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.780977
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.775458
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.779721
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.777455
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.776834
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.775235
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.775834
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.774922
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.773167
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.777737
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.780758
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.778534
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.783734
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.785159
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.773167

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05508
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01342
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.986956
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.952532
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.931306
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918092
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.895239
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.876105
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.867119
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.860675
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.855934
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.850304
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.84536
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.840654
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.838477
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.833117
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.82772
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.817422
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.815591
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.811567
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.810953
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.815715
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.811777
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.810197
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.809848
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.80687
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.807823
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.806666
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.809324
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.81102
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.816183
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.815529
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.81615
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.806666

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04281
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:0.995384
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.96108
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.928445
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.902375
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.877672
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.857532
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.834229
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.815395
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.801377
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.782168
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.76547
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.75562
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.74443
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.735114
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.727919
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.722898
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.718141
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.716045
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.71322
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.709484
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.705498
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.702697
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.701218
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.697527
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.69601
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.690856
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.689798
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.689711
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.689407
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.690225
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.690666
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.689372
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.687204
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.689274
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.690592
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.692059
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.688989
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.687289
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.687204

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00739
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.969227
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.937971
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.912789
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.889838
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.872156
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.857352
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.8512
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.848367
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.836458
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.829419
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.825764
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.823445
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.815189
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.81798
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.815367
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.816579
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.819172
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.822307
Stopping. Best iteration:
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.815189

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05558
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01513
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.980645
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.956716
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.935754
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923472
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.909627
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.89796
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.889488
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.880747
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.87389
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.866865
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.86238
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.856515
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.854274
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.854386
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.856888
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.859616
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.864339
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.869599
Stopping. Best iteration:
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.854274

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04829
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00415
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.975956
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.948413
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.921718
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.901098
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.879163
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864973
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.845724
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.828978
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.819703
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.809316
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.800573
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.794473
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790521
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.782827
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779275
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.775664
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.771049
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766296
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.757894
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.752685
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.749024
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.744227
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.738566
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.731448
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.729645
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.722676
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.718069
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.720103
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.7189
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.72047
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.722631
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.719831
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.718069

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06004
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02396
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.988976
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.955866
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.932338
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.912337
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.892376
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.872594
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.856102
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.848066
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.840499
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.828736
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.827788
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.816608
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.810244
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.802061
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.797504
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.797091
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.796708
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.793245
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.792453
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.787201
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.789623
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.785374
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.784623
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.781917
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.778505
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.776106
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.763033
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.76533
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.765109
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.765897
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.765536
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.764594
Stopping. Best iteration:
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.763033

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05177
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01435
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.980891
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.948395
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.919337
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.899934
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.883439
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.870917
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.859889
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.84396
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.842262
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.828421
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.813601
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.80815
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.794559
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781551
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.771081
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.756404
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.754903
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.752499
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.749333
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.742505
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.741313
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.740194
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.742908
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.739942
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.736866
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.734621
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.735372
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.73566
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.732794
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.735234
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.736061
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.736496
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.737408
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.740744
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.732794

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05025
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01096
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.973775
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.944786
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.92457
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.898306
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.874501
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.855258
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.836018
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.820331
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.812393
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.796463
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.785731
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.780184
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.774665
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.768046
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.760619
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.756787
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.750466
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.74637
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.738362
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.731683
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.72639
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.720526
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.716183
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.712115
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.710867
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.704236
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.701856
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.700154
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.696694
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.700833
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.700743
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.70277
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.706338
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.705606
Stopping. Best iteration:
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.696694

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04924
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01283
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.974312
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.933623
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.907625
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.895321
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.871178
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.857626
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.841294
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.827437
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.815518
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.807479
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.799574
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.796684
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.78635
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.783213
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.778615
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.775275
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.770819
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.765684
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.767362
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.76167
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.766485
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.766291
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.764773
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.765345
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.767633
Stopping. Best iteration:
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.76167

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05471
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01259
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.979814
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.942657
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.920976
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903878
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.883247
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.863984
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.852405
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.84823
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.839684
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.8377
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.827492
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.818364
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.805902
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.799227
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.788724
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.781168
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.778717
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.772998
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.764949
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.7634
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.759494
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.758348
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.757848
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756943
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.759296
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.757535
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.759437
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.760645
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.764873
Stopping. Best iteration:
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756943

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05051
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00561
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.972553
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.942858
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.916226
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.894559
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.876166
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.862151
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.849521
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.835419
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.826189
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.819284
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.811644
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.80685
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800063
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791738
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.785159
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.778379
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.774428
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.769705
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.762926
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.760465
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.760324
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.751344
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.747376
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.745435
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.741876
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.738351
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.739619
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.737497
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.738619
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.739363
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.741178
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.74251
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.741831
Stopping. Best iteration:
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.737497

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04752
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00622
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.969954
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.937934
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.912751
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.889621
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.871342
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.852001
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.835745
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.820711
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.806024
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.80068
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.791482
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.791852
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.787406
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.782762
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.774506
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.776362
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.772563
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.766679
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.763283
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.76041
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.764649
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.762809
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.757635
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.762843
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.758744
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.763515
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.763435
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.766468
Stopping. Best iteration:
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.757635

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05117
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01084
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.980685
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.948063
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.919964
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.899389
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.881066
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.864371
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.855503
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.844352
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.835882
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.832905
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.826654
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.822682
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.821106
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.823127
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.822249
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.813419
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.814471
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.814317
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.817647
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.818573
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.819708
Stopping. Best iteration:
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.813419

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04824
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00738
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977875
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.946517
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.918672
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.901138
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.881176
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.863557
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.849559
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.832554
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.821971
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.810145
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.802645
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.792972
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.78757
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.782279
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.776199
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.772899
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.765224
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.759324
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.750631
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.74668
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.746323
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.740206
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.732191
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.730052
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.730072
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.724985
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.719479
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.720821
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.719103
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.718576
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.719441
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.717577
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.718381
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.716602
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.717836
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.723627
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.719241
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.715573
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.710083
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.704448
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.703966
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.701689
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.703582
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.70122
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.700853
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.702464
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.702265
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.697747
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.698792
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.698761
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.697028
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.700268
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.702114
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.70199
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.705488
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.699931
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.697028

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06082
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.024
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.988067
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.955062
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.929313
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.908896
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.888289
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.87332
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.855971
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.848139
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.839964
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.826994
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.823453
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.814852
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810067
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799557
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.795306
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.795643
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.791462
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.785795
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.784684
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.776058
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.775284
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.771816
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.769987
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.767526
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.762096
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.75685
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.747273
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.746261
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.747679
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.750069
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.749615
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.75153
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.758727
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.746261

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06157
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02902
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993313
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961694
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.933783
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.914256
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.895944
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.881994
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.867697
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.857337
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.851274
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.837299
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.822207
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.816751
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.802283
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.785984
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775685
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.770811
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.767651
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.762974
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.765037
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.765819
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.764089
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.760731
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.76237
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.758477
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.751608
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.746579
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.740515
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.740828
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.735742
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.734338
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.736691
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.739292
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.740514
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.739688
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.739497
Stopping. Best iteration:
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.734338

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.04796
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00989
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.979195
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.949359
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.92785
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908162
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.8901
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.869318
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.852412
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.834613
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.824234
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.80639
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.797083
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.791588
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.784582
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.773459
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.765743
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.75927
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.753007
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.752572
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.746155
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.739855
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.737413
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.735889
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.735316
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.731326
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.728912
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.726444
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.724332
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.729543
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.728416
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.727174
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.725607
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.728595
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.724332

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04787
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01112
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.971596
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.935063
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.91547
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.90184
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.880131
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.862797
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.849954
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.838277
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.824813
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.816387
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.810469
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.803381
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.789938
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.7853
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.779655
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.773123
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.766962
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.763308
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.763669
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.761798
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.767621
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.766826
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.767465
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.768223
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.766736
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.761798

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05017
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01312
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.980246
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.94412
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.923849
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.907194
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.88365
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.863471
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.8495
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.843746
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.841124
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.837187
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.829782
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.826685
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.818474
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.810048
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.800153
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.792659
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.789623
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.782279
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.776545
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.772638
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.767785
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.76547
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.766931
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.768513
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.766251
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.765951
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.770926
Stopping. Best iteration:
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.76547

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04662
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.00345
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.967266
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.937037
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.911644
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.891061
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.874725
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.857875
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.84647
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.836068
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828012
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.82001
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.813509
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.805483
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.798126
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.790526
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.78051
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.775944
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.770652
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.764444
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.758349
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.754618
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.749696
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.747891
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.744013
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.742108
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.739254
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.73527
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.733514
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.735432
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.737515
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.736946
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.736658
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.73506
Stopping. Best iteration:
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.733514

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05033
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00724
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.969022
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.939685
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.913776
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.895216
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.874743
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.859562
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.841369
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.825791
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.8133
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.803612
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.793142
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.783612
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.776557
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.769551
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.768313
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.766336
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.763494
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.755423
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.755649
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.753501
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.750256
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.751998
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.749707
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.748411
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.746649
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.746762
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.748463
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.746765
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.751761
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.754343
Stopping. Best iteration:
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.746649

[0]	validation_0-merror:0.283333	validation_0-mlogloss:1.0465
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0066
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.972381
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.942362
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.914684
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.89754
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.880307
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863985
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853206
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.839029
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.824629
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814858
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.811428
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.805734
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.806254
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.804999
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.801966
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.800188
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.799133
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.797697
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.798054
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.79793
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.799584
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.800366
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.79779
Stopping. Best iteration:
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.797697

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04911
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01157
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.977814
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.947467
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.92421
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.904648
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.884441
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.867744
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855993
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.838866
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828804
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.818398
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809541
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.802788
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798748
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791238
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77717
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772421
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.766297
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762789
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.75212
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747739
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.742953
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.731616
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.72577
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.719724
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.720933
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712249
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.711633
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.713642
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.714205
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.715726
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.715633
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.716172
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.711633

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02339
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990442
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957909
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.935424
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.915604
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.895184
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.880402
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.860655
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.84984
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.839918
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.826463
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.822536
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.814093
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.804488
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.795261
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.784806
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.782293
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.781027
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773919
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.768388
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.761353
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.761549
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.759265
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.755494
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.758605
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.751465
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.75062
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.748178
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.746693
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746395
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.747624
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.747079
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.746677
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.750954
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.754748
Stopping. Best iteration:
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746395

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.996558
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.964731
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.942958
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92351
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.907273
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.89276
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.877482
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866317
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.858669
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.848569
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.8329
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.826238
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.815952
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.804127
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.799486
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.79297
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.789668
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.780266
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.779694
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.773589
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.772332
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.765564
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.76385
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.761579
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.754216
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.752061
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.747653
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.746474
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.738908
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.736771
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.739179
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.741515
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.741592
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.74122
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.742004
Stopping. Best iteration:
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.736771

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04891
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01042
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978708
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.950791
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.931127
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.909965
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.887038
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.86592
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.845922
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.829171
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.818236
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.801473
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.790769
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.78316
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.779352
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.769714
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.759139
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.75636
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.750935
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.748389
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.739329
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.732826
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.729767
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.723003
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.719019
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.719095
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.71751
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.714252
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.713563
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.715759
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.714376
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.714441
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714545
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.713977
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.713563

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05157
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01591
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.980474
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.94615
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.920714
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.903054
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.885918
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.875428
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.863578
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.852768
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.83929
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.830778
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.824389
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.814982
[14]	validation_0-merror:0.416667	validation_0-mlogloss:0.799712
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.79204
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.784481
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.780095
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.776199
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.76462
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.765552
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.758759
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.763822
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.758636
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.761535
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.764885
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.759502
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.760571
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.760257
Stopping. Best iteration:
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.758636

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01436
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985125
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.955202
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.937503
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.922889
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.901955
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.882544
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.87606
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.870375
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.865667
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.859079
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.848631
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.845841
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.829134
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.818057
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80867
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.802601
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.798871
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.793088
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.79021
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.790989
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.784102
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.784317
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.783615
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.781868
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.778671
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.778876
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.783994
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.784508
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.786313
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.788557
Stopping. Best iteration:
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.778671

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05014
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01224
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.980903
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.953866
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.931805
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.910238
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894773
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.879621
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.868766
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.857978
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.845717
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.835408
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.823161
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.814467
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.810786
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.805242
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.799528
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.787193
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.783913
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.777114
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.77371
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.769868
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.768579
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.763238
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.76175
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.758003
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.759464
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.761388
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.758484
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.75818
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.754727
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.755733
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.752999
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.753236
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.75153
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.751027
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.751
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.751009
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.750397
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.750657
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.749119
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.749734
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.749725
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.750811
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.751149
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.750785
Stopping. Best iteration:
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.749119

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0493
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.00969
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.974506
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.951087
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.924063
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.905942
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.886443
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869932
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.853629
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.84006
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.832663
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.820598
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.81695
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.815142
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.812592
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.80943
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.80274
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.800472
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.797156
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.794658
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.793729
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.791693
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.78745
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.788604
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.786982
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.788362
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.788653
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.788638
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.79135
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.786556
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.78817
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.790829
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.788293
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.789266
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.789841
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.786556

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01393
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.981005
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.954446
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.934778
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.912824
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.897586
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.880634
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.86745
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.860471
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.852615
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.839184
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.831529
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.824008
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.826454
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.82764
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.829054
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.825275
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.825624
Stopping. Best iteration:
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.824008

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04813
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.979981
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.948866
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.92424
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903444
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.884472
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.867183
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.8531
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.835866
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.822619
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.814225
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.805639
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.794701
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790738
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.783433
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.773079
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.766871
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.760822
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754414
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.7477
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.743316
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.740004
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.733221
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.725358
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.719433
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.719415
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.713313
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.713444
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.713275
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.713529
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.71299
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714464
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.711722
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.711887
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.712126
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.714308
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.71924
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.714732
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.711722

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06499
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02584
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.993779
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.959577
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.936197
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.916826
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.896465
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.880751
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.861646
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.852293
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.841665
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.82916
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.825037
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.816211
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.807975
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.80089
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.789188
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.783832
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.78114
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.772123
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.767395
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.762974
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.761874
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.756636
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.7543
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.758471
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.75184
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.747059
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.745896
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.74293
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.743413
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.745419
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.745964
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.744252
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.743575
Stopping. Best iteration:
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.74293

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06089
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999297
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971355
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950909
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.930972
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.91499
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900704
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.884659
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.868742
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.862578
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.850018
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.834555
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.827925
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.815598
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.806751
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.799917
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.791446
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.790312
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.783636
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.783032
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.777183
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.771882
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.764645
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.759816
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.756498
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.750983
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.747648
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.744518
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.741673
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.736998
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.734378
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.734741
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.737882
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.738273
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.738756
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.738738
Stopping. Best iteration:
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.734378

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05083
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01259
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.979138
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.950196
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.927634
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.905769
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.883397
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864377
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.844717
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.828343
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.816003
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.802537
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.792657
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.78557
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.778632
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.769025
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.761957
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.760728
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.75371
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.751409
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.742481
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.735473
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.732828
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724942
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.721486
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.716829
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.71449
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71021
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.707058
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.706749
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.706102
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706219
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.705532
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.706151
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.706359
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.704494
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.703587
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.704589
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.702619
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.702947
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.705226
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.705602
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.704269
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.703374
Stopping. Best iteration:
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.702619

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05653
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01951
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984397
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.953788
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.930906
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.915759
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.900769
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.88993
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.877897
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.862824
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.847403
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.839513
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.831302
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.821801
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811057
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806751
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800456
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.794021
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.787466
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.782796
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.784537
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.778725
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.780486
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.775414
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.778843
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.780163
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.773036
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.772749
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.773775
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.77709
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.775918
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.774442
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.775915
Stopping. Best iteration:
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.772749

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994168
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.9616
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.939726
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.923532
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.903311
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.88574
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875029
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.86751
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853032
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.843694
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.835586
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.831107
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.822854
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.81827
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.814822
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.811831
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.806553
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.792693
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.789984
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.79218
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.788568
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.783701
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.785055
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.788718
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.781949
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.780722
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.783785
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.781056
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.779778
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.777492
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.774656
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.773193
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.771732
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.776411
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.77645
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.774737
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.772402
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.773587
Stopping. Best iteration:
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.771732

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04922
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01072
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978637
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.952407
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.930389
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.911681
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.893062
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.879426
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.866181
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854059
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.844375
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.834238
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.825603
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.817047
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.810634
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.802582
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.798932
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.79302
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.788258
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.786581
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.785302
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.781284
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.773023
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.771443
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.766161
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.763748
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.760644
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.753347
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.752438
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.749739
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.746658
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.743805
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.742631
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.742764
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.742131
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.742752
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.74105
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.743002
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.740318
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.741787
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.744006
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.743381
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.743184
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.742487
Stopping. Best iteration:
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.740318

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04768
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00777
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.974933
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.947148
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.923004
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.900693
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.881207
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.86428
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.848709
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.836951
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.830673
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.822705
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.81575
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.808998
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.807554
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802816
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.798283
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.792252
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.791123
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.786978
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.784244
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.783267
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.782184
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.780606
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.774516
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.773968
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.770424
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.770947
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.772826
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.772788
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.771992
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.774542
Stopping. Best iteration:
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.770424

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0529
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978067
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.958837
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.932339
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.910499
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.896172
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.883655
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.871181
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.859054
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.852208
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.840485
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82971
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.827039
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.825983
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.82296
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.81692
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.815944
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.811859
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.807218
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.81021
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.804168
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.802984
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.797831
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.796839
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.795279
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.791291
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.78867
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.784194
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.781808
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.775339
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.773154
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.771963
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.773099
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.770066
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.771921
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.769482
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.769368
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.767891
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.767675
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.768115
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.766335
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.766948
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.766511
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.767545
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.766775
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.766563
Stopping. Best iteration:
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.766335

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0522
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00783
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.97669
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.949967
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.92336
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.901304
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.879
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863268
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.838031
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.824125
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.811276
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.798851
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.790732
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.784975
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.77647
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.771151
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.76456
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.760095
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.75611
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.748853
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.743876
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.744625
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.742085
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.736865
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.72953
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.72496
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.726478
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.721145
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.721495
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.724923
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.726741
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.731634
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.734936
Stopping. Best iteration:
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.721145

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06106
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02151
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.984195
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.954843
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.931128
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.908538
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.884005
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.869344
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.854553
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.848244
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.838641
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.833709
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.83456
[13]	validation_0-merror:0.416667	validation_0-mlogloss:0.831055
[14]	validation_0-merror:0.416667	validation_0-mlogloss:0.822697
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.811357
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.805551
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.807667
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.804763
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.800298
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.80525
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.799581
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.799229
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.794528
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.792899
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.79351
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.793386
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.791083
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.787493
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.789576
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.79025
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.789815
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.785501
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.784089
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.781522
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.792896
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.797723
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.80438
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.813022
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.821975
Stopping. Best iteration:
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.781522

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05698
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02044
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.990111
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957225
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.925432
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.905141
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.882816
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.863832
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.85413
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.839774
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.839547
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.824738
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.807538
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.803816
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792968
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781898
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774081
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767032
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.767862
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.762409
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.761342
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.75851
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.757933
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.759057
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.75988
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.755339
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.764684
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.767759
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.767621
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.766776
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.769528
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.755339

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04558
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00296
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.962805
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.935171
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.910762
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.886665
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.868221
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.847014
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.826632
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.814115
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.804193
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.787057
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.779841
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.775482
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.767404
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.761972
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.759306
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.753963
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.744758
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.741928
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.733343
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.729631
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.725582
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.72062
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.717449
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.713622
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.714733
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.712358
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.712766
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.711001
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.709864
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.715646
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.711397
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.711628
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.709999
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.709499
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.710624
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.708344
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.705806
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.70265
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.706056
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.704404
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.703091
[43]	validation_0-merror:0.25	validation_0-mlogloss:0.70125
[44]	validation_0-merror:0.25	validation_0-mlogloss:0.704813
[45]	validation_0-merror:0.25	validation_0-mlogloss:0.703476
[46]	validation_0-merror:0.25	validation_0-mlogloss:0.710815
[47]	validation_0-merror:0.25	validation_0-mlogloss:0.715774
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.716284
Stopping. Best iteration:
[43]	validation_0-merror:0.25	validation_0-mlogloss:0.70125

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05296
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01308
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977539
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.948059
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.924919
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.907025
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.894218
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.877096
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.860049
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.850499
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.840458
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.827639
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.82285
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.818862
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.809625
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.805347
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.801928
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.801183
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.798302
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.79884
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.801228
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.799692
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.802835
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.800337
Stopping. Best iteration:
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.798302

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05508
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01342
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985315
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.951149
[4]	validation_0-merror:0.266667	validation_0-mlogloss:0.92999
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.916697
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891725
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.873278
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.864223
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.853053
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.848227
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.841326
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.835465
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.833017
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.830734
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.826093
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.823224
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.819119
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.817821
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.812142
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.81244
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.816134
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.814179
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.816067
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.818486
Stopping. Best iteration:
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.812142

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.04383
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:0.997416
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.960526
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.931672
[4]	validation_0-merror:0.266667	validation_0-mlogloss:0.90827
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.883456
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.864039
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.841901
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.826977
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.805467
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.789815
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.773735
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.761699
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.751923
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.746235
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.740284
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.736687
[17]	validation_0-merror:0.233333	validation_0-mlogloss:0.729713
[18]	validation_0-merror:0.233333	validation_0-mlogloss:0.727503
[19]	validation_0-merror:0.233333	validation_0-mlogloss:0.724936
[20]	validation_0-merror:0.233333	validation_0-mlogloss:0.719863
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.718688
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.716508
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.716182
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.715391
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.712409
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.709156
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.705438
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.703443
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.703976
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.705631
[31]	validation_0-merror:0.233333	validation_0-mlogloss:0.705571
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.704216
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.705132
Stopping. Best iteration:
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.703443

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04955
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.00864
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.970493
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.938458
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.914078
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.892968
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.874098
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.861629
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.851892
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.848178
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.840865
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.841112
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.838794
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.839517
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.839751
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.837946
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.835172
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.832051
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.832648
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.832276
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.833381
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.838814
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.841687
Stopping. Best iteration:
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.832051

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.056
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01552
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.981826
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959394
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.938268
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.924829
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.91214
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.90118
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.890419
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.880888
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.873716
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.866398
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.863786
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.857998
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.856071
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.855294
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.856663
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.863287
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.868856
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.871263
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.877661
Stopping. Best iteration:
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.855294

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04982
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00589
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977753
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.95008
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.923343
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903243
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.881755
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868317
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.851432
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.837914
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828677
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820883
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.815176
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809042
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.804861
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.796487
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.792791
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.788502
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.78075
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.775973
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.767932
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.762269
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.758052
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.74959
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.743537
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738848
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.738649
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.731431
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.727993
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.731344
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.730383
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.729883
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.731664
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.728552
Stopping. Best iteration:
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.727993

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06004
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02396
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.988976
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.955866
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.932338
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.912635
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.89255
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.872775
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.85627
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.848209
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.840634
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.827919
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82697
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.815892
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.809919
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.801412
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.794238
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.793777
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.793605
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.790724
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.78797
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.785429
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.787736
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.788431
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.787689
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.783944
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.783435
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.781132
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.76777
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.766967
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.764892
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.76705
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.765523
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.763593
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.768141
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.774305
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.780459
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.784398
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.792359
Stopping. Best iteration:
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.763593

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05177
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01435
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.980891
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.948395
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.919337
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.899934
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.883439
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.870917
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.859889
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.84396
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.842262
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.828421
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.813601
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.80815
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.794166
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781151
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.77067
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.755975
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.754484
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.752073
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.748932
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.742131
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.740959
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.739857
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.742569
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.73961
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.736495
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.734507
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737433
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.739403
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.733305
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.735577
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.735696
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.734982
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.732085
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.736584
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.733754
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.723884
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.727029
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.723838
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.723949
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.724751
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.727065
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.725795
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.72685
Stopping. Best iteration:
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.723838

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05066
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01077
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.973268
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.945345
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.923566
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.897125
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.871103
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.849823
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.83069
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.815615
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.807087
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.792316
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.780809
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.773283
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.766117
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.758887
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.753189
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.749819
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.741074
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.738978
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.732775
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.725658
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.723526
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.722119
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.717223
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.713598
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.711034
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.704251
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.701195
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.700172
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.695426
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.699752
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.697081
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.698877
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.702502
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.697401
Stopping. Best iteration:
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.695426

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04924
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01276
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976077
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.935407
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.908092
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.895125
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.873741
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.860212
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.843092
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.829276
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.817323
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.810247
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.804463
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.801515
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.790834
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.789214
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.784901
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.781091
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.776349
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.771611
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.774647
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.772581
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.776283
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.775907
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.773348
Stopping. Best iteration:
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.771611

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05471
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01259
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.979814
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.942657
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.920976
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903878
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.883247
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.863984
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.852405
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.84823
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.839684
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.8377
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.827326
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.818196
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.805765
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.800837
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.790396
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.783096
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.7806
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.775017
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.770479
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769063
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.764845
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.765006
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.76736
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.766705
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.769106
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.771186
Stopping. Best iteration:
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.764845

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05095
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00467
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.97015
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.937949
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.911263
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.888189
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.871334
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.856498
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.843645
[9]	validation_0-merror:0.25	validation_0-mlogloss:0.829976
[10]	validation_0-merror:0.25	validation_0-mlogloss:0.819562
[11]	validation_0-merror:0.25	validation_0-mlogloss:0.810741
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.803736
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.80134
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.796251
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.794396
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.789753
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.785446
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.783584
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.782539
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.779667
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.777775
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.777968
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.777405
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.778841
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.778445
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.776556
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.777495
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.778855
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.777161
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.776927
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.778702
Stopping. Best iteration:
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.776556

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04818
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00757
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.970075
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.934817
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.910529
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.888017
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.86967
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.853226
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.840689
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.827877
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.818041
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.805331
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.795503
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.790154
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.781557
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.772365
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.769521
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.767902
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.766147
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.757902
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.754378
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.757384
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.757933
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.759291
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.761113
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.762936
Stopping. Best iteration:
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.754378

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05117
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01084
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.980685
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.948063
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.920103
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.896559
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.881219
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.865402
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.852972
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.846764
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.839422
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.831432
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.827162
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.825759
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.823299
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.82412
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.81732
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.810656
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.810676
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.810573
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.814091
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.817266
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.818031
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.820529
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.824279
Stopping. Best iteration:
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.810573

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04824
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00738
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977875
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.946517
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.918672
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.901138
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.881176
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.863557
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.849559
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.832554
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.821971
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.810145
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.802645
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.792972
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.78757
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.782279
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.776199
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.772899
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.765224
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.759324
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.750631
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.74668
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.746323
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.740206
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.732191
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.730052
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.730072
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.724985
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.719479
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.720821
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.719103
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.718576
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.719441
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.717577
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.718381
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.716602
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.717836
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.723627
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.719241
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.715573
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.710083
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.704448
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.703966
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.701689
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.703582
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.70122
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.700853
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.702464
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.702265
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.697747
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.698792
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.698761
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.697028
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.700268
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.702114
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.70199
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.705488
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.699931
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.697028

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06082
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.024
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.988546
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.955561
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.929834
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.909426
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.888854
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.87387
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.856574
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.848749
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.840573
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.826786
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.823255
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.814655
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.810285
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.79975
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.796236
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.796534
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.792334
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.785568
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.783477
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.774665
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.773913
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.770945
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.768068
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.766523
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.761227
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.760187
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.748994
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.748083
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.74957
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.75214
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.752043
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.754042
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.761611
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.748083

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06157
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02902
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993313
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961694
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.933783
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.914256
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.895944
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.881994
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.867697
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.857337
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.851274
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.837299
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.822207
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.816751
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.802575
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.786544
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.776208
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.771299
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.768159
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.763505
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.760809
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.761664
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.759855
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.756672
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.758371
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.754801
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.748747
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.744233
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.733751
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.735916
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.736626
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.734795
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.737017
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.737097
Stopping. Best iteration:
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.733751

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04829
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00901
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977234
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.948271
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.927239
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907797
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.884195
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863873
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.846143
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.824983
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.815365
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.797825
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.788601
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.78389
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.776312
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.768214
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.760034
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.75651
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.748583
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.747852
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.741161
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.732685
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.727255
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.725603
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.725355
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.72183
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.718222
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.713503
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.71116
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.71637
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.712276
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.714083
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.712737
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.714523
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.71116

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04787
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01112
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.972662
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.935604
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.915752
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.902129
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.880195
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.862795
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.848184
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.836699
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.822584
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.814582
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.80898
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.801843
[14]	validation_0-merror:0.416667	validation_0-mlogloss:0.788569
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.785612
[16]	validation_0-merror:0.416667	validation_0-mlogloss:0.779437
[17]	validation_0-merror:0.416667	validation_0-mlogloss:0.775175
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.772357
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.767234
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.766775
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.762274
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.769124
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.768839
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.76848
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.769114
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.768309
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.762274

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05017
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01312
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.980246
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.94412
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.923849
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.907194
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.88365
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.863471
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.8495
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.843746
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.841124
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.837187
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.829782
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.826685
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.819822
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.811369
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.801462
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.79542
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.792374
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.786587
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.780261
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.776237
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.771688
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.768176
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.768523
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.770342
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.76759
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.766819
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.768522
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.770917
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.772284
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.775202
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.770574
Stopping. Best iteration:
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.766819

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04565
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.00161
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.965583
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.935477
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.909748
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.887099
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.868575
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.851422
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.83731
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.825946
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.816568
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.808665
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.798922
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.794824
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.788809
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.776859
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.769786
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765219
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.763146
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.760363
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759275
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.755352
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.751493
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.747821
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.747743
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.744328
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.737378
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.73405
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.729179
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.728486
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.729233
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.730365
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.729709
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.730599
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.733458
Stopping. Best iteration:
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.728486

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05061
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00774
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.969598
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.942965
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.919984
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.897982
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.879893
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863687
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.847903
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.834005
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.821849
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.812059
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.803771
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.794829
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788687
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.783547
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.7803
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.774097
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.773413
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.772768
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.770636
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.766567
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.767365
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.764904
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.763807
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.761573
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.759729
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.760836
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.761793
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.764858
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.763809
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.760507
Stopping. Best iteration:
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.759729

[0]	validation_0-merror:0.283333	validation_0-mlogloss:1.0465
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0066
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.972381
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.942362
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.914684
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.89754
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.880307
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863985
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853206
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.839029
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.824629
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814858
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.811428
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.805734
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.806254
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.804999
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.801966
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.800188
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.798923
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.797517
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.797335
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.797235
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.798909
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.799124
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.796905
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.792969
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.787156
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.785181
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.787598
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.790654
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.785811
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.785833
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.785734
Stopping. Best iteration:
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.785181

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04911
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01157
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.977814
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.947467
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.92421
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.904648
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.884441
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.867744
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855993
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.838866
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828804
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.818398
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809541
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.802788
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798748
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791238
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77717
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772421
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.766297
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762789
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.75212
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747739
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.742953
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.731616
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.72577
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.719724
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.720933
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712249
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.711633
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.713642
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.714205
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.715726
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.715633
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.716172
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.711633

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02339
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990442
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957909
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.935424
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.915604
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.895184
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.880402
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.860655
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.84984
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.839918
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.826463
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.822536
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.814093
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.804488
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.795261
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.784806
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.782293
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.781027
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773919
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.76828
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.761274
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.761487
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.759078
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.755337
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.758482
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.751379
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.750573
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.748142
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.746687
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746363
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.747585
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.747031
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.746613
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.750923
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.754706
Stopping. Best iteration:
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746363

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.996558
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.964731
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.942958
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92351
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.907273
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.89276
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.877482
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866317
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.858669
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.848569
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.8329
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.826238
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.815952
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.804127
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.799486
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.79297
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.789668
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.780266
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.779694
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.773589
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.772332
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.765564
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.76385
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.761579
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.754216
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.752061
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.747653
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.746474
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.738908
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.736771
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.739179
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.741515
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.741592
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.74122
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.742004
Stopping. Best iteration:
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.736771

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04891
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01042
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978708
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.950791
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.931127
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.911968
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.889063
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.86788
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.847847
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.831055
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.820093
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.805326
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.79388
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.786333
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.782507
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.77272
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.762197
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.759478
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.754665
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.754603
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.745539
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.739776
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.731683
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.725537
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.721174
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.721047
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.71891
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.715559
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.713993
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.718112
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.714958
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.714763
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.714722
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.712995
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.715219
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.710106
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.713438
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.710296
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.707701
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.706057
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.705514
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.705671
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.704598
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.70545
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.709952
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.709203
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.70771
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.709085
Stopping. Best iteration:
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.704598

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05157
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01591
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.981423
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.947044
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.921537
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.903831
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.886638
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.876348
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.865039
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.853282
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.836329
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.828175
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.821522
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.812169
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.797363
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.794624
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.789164
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.782844
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.778097
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.767165
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.768274
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.764311
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.770931
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.766915
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.76972
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.773429
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.771704
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.764311

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01436
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985125
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.955202
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.937503
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.922889
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.901955
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.882544
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.87606
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.870375
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.865667
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.859079
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.848631
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.845841
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.829134
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.818057
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80867
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.803282
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.799546
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.793758
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.790882
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.791638
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.784742
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.784981
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.784282
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.782579
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.779384
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.779731
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.784829
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.785354
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.790148
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.792382
Stopping. Best iteration:
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.779384

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05014
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0133
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.983256
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.956482
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.932624
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.91368
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.898534
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.884716
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.872342
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.861839
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852263
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.840863
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.832647
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.826908
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.819231
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.813579
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.80947
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.803722
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79933
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.797454
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.789966
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.786272
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.784774
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.782965
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.780329
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.776049
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.772161
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.770949
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.765089
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.765564
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.767107
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.766161
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.76363
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.762722
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.763124
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.76242
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.763079
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.761309
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.762139
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.758349
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.75795
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.758772
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.760914
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.761395
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.761937
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.763076
Stopping. Best iteration:
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.75795

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0493
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.00969
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.974506
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.951087
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.924063
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.905917
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.885758
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.868865
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.852656
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.839469
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.828856
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.824432
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.819459
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.811746
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.80716
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.802575
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.798257
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.793691
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.793677
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.789343
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.785579
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.784121
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.788081
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.787792
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.784631
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.782268
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.781517
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.78
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.779209
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.780934
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.782209
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.783065
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.787764
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.787292
Stopping. Best iteration:
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.779209

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01393
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.981005
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.954446
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.934778
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.912824
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.897586
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.880634
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.86745
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.860471
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.852615
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.839184
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.831529
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.824008
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.826454
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.82764
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.829054
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.825275
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.825624
Stopping. Best iteration:
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.824008

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04813
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.979981
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.948866
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.92424
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903444
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.884472
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.867183
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.8531
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.835866
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.822619
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.814225
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.805639
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.794701
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790738
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.783433
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.773079
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.766871
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.760822
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754414
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.7477
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.743316
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.740004
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.733221
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.725358
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.719433
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.719415
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.713313
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.713444
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.713275
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.713529
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.71299
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714464
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.711722
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.711887
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.712126
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.714308
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.71924
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.714732
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.711722

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06499
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02584
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.993779
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.959577
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.936197
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.916826
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.896465
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.880751
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.861646
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.852293
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.841665
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.82916
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.825037
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.816211
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.807975
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.80089
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.789188
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.783832
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.78114
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.772123
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.767395
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.762974
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.761874
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.756636
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.7543
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.758471
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.75184
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.747059
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.745896
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.74293
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.743413
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.745419
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.745964
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.744252
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.743575
Stopping. Best iteration:
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.74293

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06089
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999297
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971355
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950909
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.930972
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.91499
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900704
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.884659
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.868742
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.862578
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.850018
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.834555
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.827925
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.815598
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.806751
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.799917
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.791446
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.790312
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.783636
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.783032
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.777183
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.771882
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.764645
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.759816
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.756498
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.750983
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.747648
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.744518
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.741673
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.736998
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.734378
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.734741
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.737882
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.738273
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.738756
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.738738
Stopping. Best iteration:
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.734378

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05083
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01259
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.979138
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.950196
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.927634
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.905769
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.883397
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864377
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.844717
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.828343
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.816003
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.802537
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.792657
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.78557
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.778632
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.769025
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.761957
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.760728
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.75371
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.751409
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.742481
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.735473
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.732828
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724942
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.721486
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.716829
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.71449
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71021
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.707058
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.706749
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.706102
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706219
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.705532
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.706151
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.706359
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.704494
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.703587
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.704589
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.702619
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.702947
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.705226
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.705602
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.704269
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.703374
Stopping. Best iteration:
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.702619

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05653
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01951
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984397
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.953788
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.930906
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.915759
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.900769
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.88993
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.877897
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.862824
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.847403
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.839513
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.831302
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.821801
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811057
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806751
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800456
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.794021
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.787466
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.782796
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.784537
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.778725
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.780486
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.775414
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.778843
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.780163
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.773036
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.772749
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.773775
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.77709
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.775918
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.774442
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.775915
Stopping. Best iteration:
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.772749

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994168
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.9616
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.939726
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.923532
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.903311
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.88574
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875029
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.86751
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853032
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.843694
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.835586
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.831107
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.822854
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.81827
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.814822
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.811831
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.806553
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.792693
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.789984
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.79218
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.788568
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.783701
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.785055
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.788718
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.781949
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.780722
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.783785
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.781056
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.779778
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.777492
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.774656
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.773193
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.771732
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.776411
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.77645
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.774737
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.772402
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.773587
Stopping. Best iteration:
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.771732

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04922
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0094
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976195
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.949984
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.926895
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.908234
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.889931
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.87593
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.863028
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.85097
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.84166
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.831375
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.820252
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.812143
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.805389
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.797279
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.790504
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.787732
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.785045
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.783639
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.783856
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.781297
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.775608
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.771942
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.764041
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.760196
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.753261
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.750666
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.747336
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.745721
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.742996
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.743457
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.740646
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.741765
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.740868
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.743736
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.742711
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.74021
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.744303
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.745194
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.745941
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.745493
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.746942
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.74021

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04768
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00777
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.974933
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.947148
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.923004
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.900693
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.881207
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.86428
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.848709
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.836951
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.830673
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.822705
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.81575
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.808998
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.807554
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802816
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.798283
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.792252
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.791123
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.786978
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.784244
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.783267
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.782184
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.780606
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.77505
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.774503
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.772607
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.770997
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.77083
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.770793
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.771944
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.77644
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.780503
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.783348
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.787884
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.770793

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0529
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978067
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.958837
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.932339
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.910499
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.896172
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.883655
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.871181
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.859054
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.852208
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.840485
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82971
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.827039
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.825983
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.82296
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.81692
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.815944
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.811859
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.807218
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.81021
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.804168
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.802984
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.797831
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.796839
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.795279
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.791291
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.78867
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.784194
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.781808
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.775339
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.773154
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.771963
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.773099
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.770066
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.771921
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.769482
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.769368
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.767891
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.767675
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.768115
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.766335
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.766948
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.766511
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.767545
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.766775
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.766563
Stopping. Best iteration:
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.766335

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05692
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01215
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.98075
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.957115
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.929859
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.905851
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.888176
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873387
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.854842
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.838351
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.825383
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818343
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.809114
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.800187
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.796101
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.783523
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774648
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.768477
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759393
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.752573
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743279
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.736933
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.729155
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.719533
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.709016
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.701934
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.7018
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.69668
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.696852
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.694967
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.690111
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.689708
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.684979
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.685805
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.683019
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.679366
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.679347
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.679817
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.676225
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.673054
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.66749
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.661925
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.662174
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.659757
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.657703
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.654125
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.652821
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.6544
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.651917
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.652303
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.653148
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.648917
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.644903
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.6459
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.650725
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.651654
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.651919
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.644904
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.644903

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06367
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02924
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.999424
[3]	validation_0-merror:0.45	validation_0-mlogloss:0.968785
[4]	validation_0-merror:0.45	validation_0-mlogloss:0.947462
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.928473
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.908542
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.893455
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.881546
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.871879
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.860948
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.847758
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.841687
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.832329
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.818484
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.811528
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.804208
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.79515
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.786716
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77725
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.77292
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.763945
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.76285
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.756085
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.752993
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.759186
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.751992
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.749609
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.748437
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.740467
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.741217
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.736611
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.731193
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.731028
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.727094
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.729195
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.728887
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.728858
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.737116
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.737777
Stopping. Best iteration:
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.727094

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05829
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02765
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996339
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.965721
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.939109
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918662
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896109
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.880849
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864545
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847237
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834271
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.822873
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.807569
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801118
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.785143
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.768871
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.75938
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.74955
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.750431
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.739634
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.738191
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.732657
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.730316
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.725524
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723851
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.725626
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.717777
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712352
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.703786
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.695277
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.690022
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.688996
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.685859
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.68376
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.6835
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.682862
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.681746
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.679086
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.67489
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.669823
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.669655
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.663115
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.664704
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.662271
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.661368
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.65707
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.656901
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.656359
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.654595
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.654784
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.659189
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.660398
[52]	validation_0-merror:0.25	validation_0-mlogloss:0.658491
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.655292
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.654595

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05637
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.02647
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992161
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962494
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.94413
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.921344
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.901077
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.882455
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.865987
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.846305
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.835279
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.818134
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.803937
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.794254
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.787522
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.777202
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.769518
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.764631
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.7581
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753806
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.745275
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.738252
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.727328
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.719756
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.713337
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.709713
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.706138
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.701835
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.697064
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.696319
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.69284
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.688889
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.688214
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.687897
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.685401
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.682103
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.681823
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.679591
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.677049
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.675222
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.673084
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.669321
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.667997
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.666352
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.663783
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.661484
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.663514
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.664298
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.664304
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.66628
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.669564
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.661484

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02448
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994924
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.960939
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.941183
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.925108
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.907552
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.896485
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.88438
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.873334
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.860382
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.851408
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.8405
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.829363
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.816939
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806767
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.798822
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.793961
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.785291
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.778113
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772308
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.764978
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767795
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.765945
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.763789
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.762472
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.756298
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.752126
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.753586
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751518
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751019
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.750844
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.748097
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.746518
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.743269
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.739855
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.737617
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.734933
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.738259
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.732996
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.733794
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.734847
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.736322
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.729938
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.732726
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.733423
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.734115
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.735052
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.738531
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.729938

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02872
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00355
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.976736
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.953341
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936879
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.91662
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.901942
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.886389
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.875851
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.869907
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.86255
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.846275
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.830407
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.815914
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.810056
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.802421
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.792757
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.785661
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.771222
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.765192
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.762802
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.760105
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.751251
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.746811
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.74245
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.736475
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.731515
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.729847
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.727285
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.723773
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.721278
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.717365
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.714841
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.71262
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.71146
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.704787
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.701508
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.698022
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.697998
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.696666
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.69326
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.693725
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.690503
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.689465
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.687419
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.687733
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.686988
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.687914
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.687266
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.683783
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.681546
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.680539
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.6796
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.67823
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.67575
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.674067
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.676349
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.679107
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.676441
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.675836
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.6784
Stopping. Best iteration:
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.674067

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05319
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01661
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.98389
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957102
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.933361
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.911513
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894458
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.875597
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.860516
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845637
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.829378
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.820117
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809333
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.797202
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.790178
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781609
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774166
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.768058
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759536
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.753279
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.745298
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.741313
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.73474
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.729869
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.730926
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.726765
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722875
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.722321
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.716517
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712428
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.707924
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.705273
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.700477
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.697341
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.696505
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.693135
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.691491
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.691679
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.69008
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.688398
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.688094
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.688758
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.688574
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.685554
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.684172
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.683395
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.685492
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.687542
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.687036
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.687835
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.68597
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.683395

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05547
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01987
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990724
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.963656
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941415
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923077
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.907852
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.892961
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.878687
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.868637
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.854829
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.842842
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.83503
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.825436
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.819627
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.809435
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.801614
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792741
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.7928
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.787746
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.782828
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.776984
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.773407
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.770456
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.767431
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.763838
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.756227
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.75178
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.748989
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.74647
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.74224
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.740189
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.736037
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.731566
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.728776
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.727354
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.724038
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.721929
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.721823
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.719591
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.719946
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.719262
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.717498
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.718157
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.719328
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.717529
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.716041
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.714319
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.713434
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.713208
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.711666
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.710018
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.709432
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.708505
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.707427
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.708658
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.707738
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.70808
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.706769
[59]	validation_0-merror:0.333333	validation_0-mlogloss:0.706968
[60]	validation_0-merror:0.333333	validation_0-mlogloss:0.708591
[61]	validation_0-merror:0.333333	validation_0-mlogloss:0.707696
[62]	validation_0-merror:0.333333	validation_0-mlogloss:0.707573
[63]	validation_0-merror:0.333333	validation_0-mlogloss:0.708077
Stopping. Best iteration:
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.706769

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05916
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02611
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994486
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.973997
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950669
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935467
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.918517
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901938
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.890942
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.878065
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.865067
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.8564
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.846713
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.839065
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.832761
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.819538
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.813601
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.806633
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.797196
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.792266
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.783326
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.780706
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.774413
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.77261
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.769116
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.765775
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.763464
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.758327
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.75391
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.748226
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.74693
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.743617
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.740483
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.738451
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.734002
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.731865
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.726533
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.722561
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.719795
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.716457
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.714419
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.71316
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.709243
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.70653
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.705782
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.701926
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.700715
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.699192
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.696164
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.695705
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.694089
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.693189
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.691576
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.689863
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.689605
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.687254
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.684269
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.683794
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.682946
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.68303
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.681944
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.681301
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.679488
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.675297
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.675885
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.674631
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.674002
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.673484
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.67418
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.672973
[70]	validation_0-merror:0.3	validation_0-mlogloss:0.673112
[71]	validation_0-merror:0.3	validation_0-mlogloss:0.672119
[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.668653
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.667023
[74]	validation_0-merror:0.266667	validation_0-mlogloss:0.665425
[75]	validation_0-merror:0.266667	validation_0-mlogloss:0.666229
[76]	validation_0-merror:0.266667	validation_0-mlogloss:0.667145
[77]	validation_0-merror:0.266667	validation_0-mlogloss:0.66558
[78]	validation_0-merror:0.266667	validation_0-mlogloss:0.664294
[79]	validation_0-merror:0.266667	validation_0-mlogloss:0.663643
[80]	validation_0-merror:0.266667	validation_0-mlogloss:0.664474
[81]	validation_0-merror:0.266667	validation_0-mlogloss:0.664032
[82]	validation_0-merror:0.266667	validation_0-mlogloss:0.665234
[83]	validation_0-merror:0.266667	validation_0-mlogloss:0.665318
[84]	validation_0-merror:0.266667	validation_0-mlogloss:0.662972
[85]	validation_0-merror:0.266667	validation_0-mlogloss:0.662864
[86]	validation_0-merror:0.266667	validation_0-mlogloss:0.665703
[87]	validation_0-merror:0.266667	validation_0-mlogloss:0.666256
[88]	validation_0-merror:0.266667	validation_0-mlogloss:0.666273
[89]	validation_0-merror:0.266667	validation_0-mlogloss:0.667449
[90]	validation_0-merror:0.266667	validation_0-mlogloss:0.66635
Stopping. Best iteration:
[85]	validation_0-merror:0.266667	validation_0-mlogloss:0.662864

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05469
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01474
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.983393
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.959914
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.936107
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.913957
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.893557
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.878262
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.860331
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.843821
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.832298
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.826566
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.817561
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.809765
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.804593
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791296
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.780701
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.773573
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.763645
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.757314
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.748499
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.74173
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736449
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727829
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.718123
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.710206
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.709791
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.702194
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.69784
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.692636
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.688034
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.686998
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.685399
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.686065
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.68257
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.67954
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.679836
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.68088
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.678897
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.675986
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.673603
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.668818
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.666187
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.667502
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.666203
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.663227
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.663166
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.66111
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.660647
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.658868
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.660716
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.659431
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.655405
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.658345
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.662698
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.661351
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.662486
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.655983
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.655405

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06367
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.483333	validation_0-mlogloss:1.02837
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.997974
[3]	validation_0-merror:0.45	validation_0-mlogloss:0.967403
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.944045
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.92508
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.90623
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.891002
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.87897
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.865608
[10]	validation_0-merror:0.433333	validation_0-mlogloss:0.853979
[11]	validation_0-merror:0.433333	validation_0-mlogloss:0.84169
[12]	validation_0-merror:0.433333	validation_0-mlogloss:0.835824
[13]	validation_0-merror:0.433333	validation_0-mlogloss:0.827928
[14]	validation_0-merror:0.416667	validation_0-mlogloss:0.815515
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.809861
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.803372
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.795588
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.787414
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.777646
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.772894
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.764083
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.762824
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.755139
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.751162
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.755308
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.747899
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.746324
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.740172
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.733156
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.733693
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.73103
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.727343
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.725337
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.719307
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.723045
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.723338
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.722906
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.731219
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.732602
Stopping. Best iteration:
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.719307

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05829
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02834
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.997193
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.968909
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941446
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.9212
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.896138
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883301
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.866173
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.852757
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.840416
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.828545
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.81331
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.807056
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.79157
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.778269
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.768247
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.755946
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.751586
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.74243
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.73946
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740364
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736721
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.730464
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.728542
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.73141
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722227
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.7162
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.708767
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.701622
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.697538
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.69654
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.693332
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.691364
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.690859
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.690326
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.689481
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.689185
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.68997
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.685854
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.683061
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.67814
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.678847
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.674458
[44]	validation_0-merror:0.25	validation_0-mlogloss:0.674317
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.668895
[46]	validation_0-merror:0.25	validation_0-mlogloss:0.667867
[47]	validation_0-merror:0.25	validation_0-mlogloss:0.66689
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.664607
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.666123
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.670475
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.671999
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.670631
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.668723
Stopping. Best iteration:
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.664607

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05637
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02126
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987607
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957727
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938391
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915381
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.89566
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.877049
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.862081
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.844777
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.833446
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815798
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80223
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.791698
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.783859
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.773604
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.766649
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763302
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.753992
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.748354
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.741825
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.732602
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.72137
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.715615
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.708167
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.704963
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.701903
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.697124
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.690584
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.689635
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.684491
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.683718
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.679739
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.679553
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.677364
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.671714
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.671943
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.669091
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.665411
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.662756
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.66268
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.65893
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.656993
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.656516
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.652469
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.651939
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.65383
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.652088
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.65405
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.652893
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.65126
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.654442
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.649168
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.653097
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.654706
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.654175
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.655108
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.652903
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.649168

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05546
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02395
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.992694
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959635
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.939869
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.922923
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.901291
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.890537
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879516
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.865606
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852578
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.841058
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.830073
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.820154
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.809705
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.800433
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.789962
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.785311
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.777948
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.771938
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.766046
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.758796
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.757954
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.756001
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.753812
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.752516
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.746214
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.742054
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.741922
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.740236
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.739434
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.737695
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.735922
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.73319
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.730957
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.728613
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.726453
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.721913
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.726055
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.721929
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.722634
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.724304
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.724039
Stopping. Best iteration:
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.721913

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03007
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00499
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.975868
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952913
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936704
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.914921
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900157
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.884397
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.874682
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.868935
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.863068
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.850358
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.834583
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.81799
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.80646
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.802578
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.793252
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.786268
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.773408
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.768337
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.764725
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.760941
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.75295
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.747332
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.742827
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.736993
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.732429
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.729698
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.726446
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.719418
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.716556
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.713765
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.711036
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.70954
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.711321
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.704929
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.701486
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.69983
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.699749
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.697004
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.694443
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.694985
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.694757
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.694214
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.690075
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.691491
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.690946
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.689556
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.687539
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.684396
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.68314
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.68213
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.681307
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.680958
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.67819
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.676759
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.679525
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.680951
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.678941
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.678917
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.678238
Stopping. Best iteration:
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.676759

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05463
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01756
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.986296
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.958132
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.934568
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915419
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897506
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.876489
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.865152
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.848719
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.838916
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829314
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.820507
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.81147
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799488
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787961
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.781379
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773113
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.768718
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.762154
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.756477
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.754098
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.748429
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.740114
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.736016
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.734745
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.733889
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.731193
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.727349
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.723694
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.718675
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.715493
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.713021
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.711359
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.706408
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.701249
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.700666
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.697768
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.696077
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.695734
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.697219
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.699118
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.695542
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.696732
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.692983
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.692382
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.692554
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.693844
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.695358
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.695376
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.69341
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.692382

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01855
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989064
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961772
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.940064
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.919515
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.903489
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.88863
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.873529
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.863457
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.848874
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839976
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.828067
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.821968
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.810682
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.80288
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.797696
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.792869
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785154
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.781572
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.776567
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.772147
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.766613
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.763856
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.760145
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.755399
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.752462
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.7475
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.742376
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.735351
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.732237
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.73249
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.728441
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.7246
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.722741
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.720431
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.718574
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.715895
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.715215
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.712112
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.710389
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.710368
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.710024
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.710252
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.707608
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.708145
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.706908
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.709608
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.709183
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.707216
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.708035
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.707475
Stopping. Best iteration:
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.706908

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05873
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02659
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994819
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975766
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950898
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935575
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.917964
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.907377
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.890409
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.877987
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.870411
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.857516
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.844253
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.837144
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.827991
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.82159
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.810362
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.803308
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.798675
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.793427
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.784638
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.781167
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.776585
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.774226
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.768252
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.766293
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.761933
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.757659
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.753197
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.749553
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.745402
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.742119
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.739107
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.735322
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.732466
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.729694
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.727917
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.724166
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.720618
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.717459
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.715655
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.712282
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.71189
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.708804
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.70711
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.704258
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.703425
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.703465
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.704262
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.702925
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.702929
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.701062
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.699449
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.701081
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.702525
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.701498
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.699533
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.698299
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.6973
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.695756
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.698236
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.696612
[62]	validation_0-merror:0.316667	validation_0-mlogloss:0.700277
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.700095
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.701208
Stopping. Best iteration:
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.695756

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05454
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01463
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.9822
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.955615
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.931776
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.913098
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.895552
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.880228
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.864343
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847611
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834713
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.825791
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.816161
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.805991
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.802136
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.790919
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.77805
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768969
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759144
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753373
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.744539
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737564
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.73273
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.721661
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.713127
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.706173
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.706465
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.700522
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.697139
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.694255
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.689024
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.689841
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.686361
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.688485
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.688171
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.6866
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.688111
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.687658
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.686361

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06395
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02917
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999033
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.970131
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.94552
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.925685
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.905737
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.890792
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.872098
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.856854
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.84497
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.832558
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.827463
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.817903
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.805274
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.80139
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.794416
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.784621
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.778706
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.771194
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.766158
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.757912
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.756472
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.751302
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.747947
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.747633
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.740639
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.737525
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.730662
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.727605
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.730878
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.731784
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.726826
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.725329
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.721373
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.725589
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.726024
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.723034
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.730654
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.730982
Stopping. Best iteration:
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.721373

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06211
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03224
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.999256
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971762
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.947726
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.927219
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905294
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.890735
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.874335
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.861712
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.85112
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.837983
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823167
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.816486
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.801626
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.788295
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.780996
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768617
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.765575
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759379
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.75587
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.756225
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754267
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.749588
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.746735
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.749912
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.742752
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.735752
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.729472
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.723878
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.718834
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.714801
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714191
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.714105
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.714127
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.714367
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.713722
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.712131
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.71366
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.710837
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.708897
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.70498
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.708887
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.704624
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.70563
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.698192
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.698732
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.698707
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.694118
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.690962
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.694872
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.697437
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.697184
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.693982
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.693277
Stopping. Best iteration:
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.690962

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05637
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02247
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990685
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.964255
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.94683
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.926591
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.907472
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.890389
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.87301
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855407
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.843064
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.827681
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.813753
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.80337
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.796855
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787746
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.777725
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.772092
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.756811
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.750753
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.745412
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.736338
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.726048
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.718665
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.710609
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.710751
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.707568
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.703382
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.697338
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.696107
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.690724
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.689956
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.689613
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.690452
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.690359
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.685303
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.687559
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.684455
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.680673
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.677625
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.675839
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.671899
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.671436
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.667652
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.662484
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.661202
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.664861
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.662156
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.663442
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.662072
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.657625
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.660339
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.65701
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.654999
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.656748
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.656121
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.657154
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.653414
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.648631
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.647713
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.650028
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.651227
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.651837
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.64994
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.648305
Stopping. Best iteration:
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.647713

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05632
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02314
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.991425
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959874
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.940012
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.922646
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.905612
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.895138
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.884125
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.870054
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.858342
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.845625
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.834494
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.821461
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.809884
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.800811
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.790467
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.782771
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.775674
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.769534
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.76195
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.753939
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.754346
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.749593
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.746049
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.744551
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.736472
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.731806
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.729789
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.727921
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.727017
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.725797
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.724282
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.72152
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.720919
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.719506
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.71614
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.71601
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.719591
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.716997
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.717717
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.719243
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.719104
Stopping. Best iteration:
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.71601

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03007
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00499
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.977306
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.954358
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.937241
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.91707
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.902421
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.889056
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.881804
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.877556
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.871845
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.858107
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.844882
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.82775
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.816615
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.808529
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.803288
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.796043
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.784692
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.779988
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.777727
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.77383
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.76552
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.76068
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756634
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.752003
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.747239
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.742293
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.739396
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.730983
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.727385
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.726117
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.723074
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.721109
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.721343
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.716978
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.712981
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.71096
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.709354
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.7069
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.703954
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.705823
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.705189
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.702233
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.695487
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.695733
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.695831
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.694666
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.694624
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.691261
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.688079
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.687987
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.686727
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.686785
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.690016
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.688821
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.691539
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.692624
Stopping. Best iteration:
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.686727

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05578
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01882
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.985716
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959843
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.937741
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.917387
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.897914
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.882293
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.86719
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.853065
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842513
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.828249
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.813641
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.804478
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.792855
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.78119
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.775523
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.767473
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759157
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.74844
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.74314
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.739784
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.731414
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.725843
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723066
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.716009
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.712116
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.712035
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.706803
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.707102
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.707301
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704797
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.704727
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.698572
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.693118
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.694968
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.692575
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.690261
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.688614
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.690839
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.690339
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.692581
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.689903
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.69099
Stopping. Best iteration:
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.688614

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05476
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01796
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987693
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962718
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.937965
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.921826
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.904217
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.891091
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.874965
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.861528
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.848994
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839101
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.829631
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.819943
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.80767
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.798418
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.794578
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.787632
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.780513
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773665
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767557
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.762991
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.759655
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.755734
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.753249
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.747941
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.744446
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.738096
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.730976
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.729905
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.728785
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.726812
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.726675
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.722664
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.720961
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.720269
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.721902
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.719256
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.718876
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.72058
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.720081
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.718518
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.717811
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.718076
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.720124
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.719222
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.721557
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.720062
Stopping. Best iteration:
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.717811

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02412
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.995513
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.97594
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.947806
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.928278
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.919282
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897538
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.889656
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.877901
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.866785
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.859452
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.849925
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.837891
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.830366
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818243
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.811189
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800721
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79639
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.790447
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.788132
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.783831
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.78267
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.777406
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.770662
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.766996
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.764135
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.758256
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.757225
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.75631
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.754438
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.751267
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.750464
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.7483
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.742434
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.73947
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.733606
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.733267
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.732009
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.727557
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.725039
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.723374
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.720233
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.718613
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.715689
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.713741
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.71158
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.711575
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.710329
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.70856
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.708787
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.708038
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.705961
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.705036
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.703104
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.702572
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.70142
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.700923
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.700796
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.699276
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.698186
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.69865
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.698917
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.702568
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.699771
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.701155
Stopping. Best iteration:
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.698186

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05697
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01918
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.983916
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.957638
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.932588
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.913455
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.89567
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.88
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.864651
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.8478
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.83477
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.822754
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.812481
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.803204
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79845
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786134
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.772587
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765437
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.755761
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.748489
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.738755
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.732356
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.727394
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.715879
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.706057
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.699689
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.698781
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.69108
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.688379
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.686466
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.683843
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.682696
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.680119
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.682588
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.68508
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.688352
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.689475
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.687589
Stopping. Best iteration:
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.680119

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.03271
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00122
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.969375
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.947148
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.92627
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.908422
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.89273
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.875141
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.864244
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.851842
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.838699
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.833676
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.824658
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.812285
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.806687
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.79742
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.791277
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.78641
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.779511
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.774884
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.767139
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.764609
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.759753
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.756571
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.756126
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.746434
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.742908
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.737979
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.730289
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.730386
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.731493
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.727189
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.7243
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.725205
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.729168
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.728847
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.726118
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.733854
Stopping. Best iteration:
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.7243

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06181
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03349
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.00053
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.973982
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.947938
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.929544
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.908451
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.891962
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.874415
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.860422
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.84885
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.836897
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.819597
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.812087
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.804826
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.793042
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.786481
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.777146
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.77663
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.769367
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.768512
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.768299
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767299
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.763445
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.760361
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.762161
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.754175
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.751898
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.743294
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.738007
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.737945
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.73357
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.732382
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.73007
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.728088
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.725661
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.725052
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.723296
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.719696
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.714662
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.713177
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.707392
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.711376
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.706953
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.706103
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.698621
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.699813
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.70084
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.700307
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.698874
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.702887
Stopping. Best iteration:
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.698621

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05637
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02384
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.991841
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.966058
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.948646
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.930454
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.911384
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.894372
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.879628
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863447
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.850231
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.833465
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.818049
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.809735
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.802658
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.791885
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.782573
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.775919
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.765827
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.75942
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.752275
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.745734
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.735494
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.729596
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.72097
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.721952
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.719517
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.717869
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.713293
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.712394
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.704726
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.704776
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.701103
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.697818
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.695931
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.692475
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.691976
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.689609
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.687861
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.686641
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.686175
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.681739
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.678569
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.676904
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.677062
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.674306
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.675424
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.673205
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.676025
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.674529
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.670995
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.673993
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.672754
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.671872
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.668931
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.669996
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.670074
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.667602
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.665014
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.661936
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.662802
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.663812
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.664027
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.663969
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.662139
Stopping. Best iteration:
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.661936

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05493
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02386
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.991762
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.960148
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.939114
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.920154
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.903413
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.891289
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.880498
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.867067
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.854143
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.843475
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.833902
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.819833
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.811991
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802404
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.792956
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.786377
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.781677
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.774232
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.766682
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.761667
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.760932
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.755994
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.75255
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.751689
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.743397
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.739143
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.733897
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.732027
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.731326
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.731129
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.728113
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.725957
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.724423
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.725329
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.723413
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.725029
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.727655
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.724642
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.724966
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.727046
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.723413

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03007
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00499
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.977399
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957182
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.941243
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.920945
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.906452
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.892301
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.884982
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.88074
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.874916
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.860527
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.848004
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.831711
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.824476
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.817825
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.811964
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.804509
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.792567
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.788667
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.783796
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.779429
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.77337
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.769741
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.76482
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.758749
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.754054
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.751737
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.748274
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.748177
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.745933
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.743076
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.739873
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.735927
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.735466
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.731097
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.727604
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.725621
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.727096
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.724581
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.722271
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.724678
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.724944
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.727438
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.725275
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.725526
Stopping. Best iteration:
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.722271

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05912
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02403
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.995271
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.968259
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.948169
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.92899
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.911982
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.898171
[8]	validation_0-merror:0.433333	validation_0-mlogloss:0.886244
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.873287
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.859437
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.850398
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.834789
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.823533
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.814723
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.803935
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.796539
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.78672
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.779657
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.769546
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.764554
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.758892
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754619
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.749056
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.747287
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.743077
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.737306
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.738235
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.738322
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.738864
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.736611
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.735418
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.736946
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.734883
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.734755
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.732684
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.733328
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.728388
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.727032
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.725162
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.720886
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.722419
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.723962
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.723301
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.722193
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.717647
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.716802
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.717338
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.715005
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.714001
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.71422
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.713544
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.71236
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.714665
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.711124
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.709325
[56]	validation_0-merror:0.333333	validation_0-mlogloss:0.707814
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.708891
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.7063
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.704152
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.705034
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.704932
[62]	validation_0-merror:0.316667	validation_0-mlogloss:0.704644
[63]	validation_0-merror:0.316667	validation_0-mlogloss:0.703138
[64]	validation_0-merror:0.316667	validation_0-mlogloss:0.703515
[65]	validation_0-merror:0.316667	validation_0-mlogloss:0.701424
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.702709
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.703968
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.702957
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.702037
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.701302
[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.702827
[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.704151
[73]	validation_0-merror:0.283333	validation_0-mlogloss:0.70294
[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.702825
[75]	validation_0-merror:0.283333	validation_0-mlogloss:0.703698
Stopping. Best iteration:
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.701302

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05601
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02212
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992362
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969757
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.945534
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.927752
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.910943
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.895952
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.880061
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.866914
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.853781
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.843783
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.832132
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.824767
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.814258
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.805015
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.79889
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.792041
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.784245
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.777697
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.772632
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769954
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.767216
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.75957
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.75572
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.751066
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.743838
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.744754
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.739833
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.738859
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.737176
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.734524
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.731934
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.729193
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.726383
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.725766
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.724963
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.723411
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.720771
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.719837
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.720489
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.71842
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.718107
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.718316
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.720904
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.71828
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.717628
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.720217
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.718428
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.719728
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.718335
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.721025
Stopping. Best iteration:
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.717628

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02412
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.994563
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975064
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.948229
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.931659
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.916934
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900914
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.890337
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.882763
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.86947
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.864794
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.854751
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.845178
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.836971
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.829775
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.822792
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.820153
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.813469
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.807123
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.802133
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.798147
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.793569
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.787742
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.783745
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.779265
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.774073
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.767268
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.763512
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.762569
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.755765
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.752968
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.750914
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.744984
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.742919
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.739444
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.737852
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.733593
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.733543
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.727952
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.72735
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.724829
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.725639
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.720083
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.721036
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.717553
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.715777
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.714169
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.715731
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.714777
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.710583
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.711203
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.709888
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.707284
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.704463
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.70532
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.702428
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.702061
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.701618
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.699405
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.701763
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.700346
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.69929
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.700371
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.698969
[65]	validation_0-merror:0.25	validation_0-mlogloss:0.698095
[66]	validation_0-merror:0.25	validation_0-mlogloss:0.697519
[67]	validation_0-merror:0.25	validation_0-mlogloss:0.700455
[68]	validation_0-merror:0.25	validation_0-mlogloss:0.699352
[69]	validation_0-merror:0.25	validation_0-mlogloss:0.700897
[70]	validation_0-merror:0.25	validation_0-mlogloss:0.701325
[71]	validation_0-merror:0.25	validation_0-mlogloss:0.699367
Stopping. Best iteration:
[66]	validation_0-merror:0.25	validation_0-mlogloss:0.697519

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05516
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02058
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.986902
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.960218
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.934936
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914933
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.89744
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.881877
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.865274
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.848337
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.835108
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.824275
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.813079
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.802896
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.798424
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.784897
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77583
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767203
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.756578
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.74926
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.739955
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737452
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.733114
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724698
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.715152
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.709304
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.707742
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.700456
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.696056
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.692224
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.686602
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.684355
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.682688
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.682438
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.682169
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.684088
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.686488
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.686313
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.685294
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.682402
Stopping. Best iteration:
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.682169

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06547
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.032
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00396
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.971663
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.950777
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.931781
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.912588
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.897801
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.877688
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.867957
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.856567
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.842112
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.837209
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.825523
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.812865
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.807903
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.798535
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.789108
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.784033
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.776589
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772707
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.766863
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.765618
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.762494
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.758729
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.759282
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.748924
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.745814
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.7405
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.731025
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.732402
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.73125
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.725335
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.721926
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.721868
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.725607
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.725183
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.725775
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.732381
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.733271
Stopping. Best iteration:
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.721868

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06317
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03297
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00295
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975749
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.951455
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.930104
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.910916
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.894342
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.876183
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.859495
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.851135
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839725
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823927
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.816721
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.809573
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.797911
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.792
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.78287
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.784334
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.777288
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.77646
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.772308
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.768881
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.764321
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.762139
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.758896
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.750227
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.746554
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.738592
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.73335
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.729971
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.725771
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.724899
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.724351
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.72669
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.726326
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.725906
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.724079
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.724774
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.721276
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.718166
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.712674
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.712968
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.710647
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.709618
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.706593
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.708096
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.709296
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.707909
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.706444
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.705909
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.706734
[52]	validation_0-merror:0.35	validation_0-mlogloss:0.709586
[53]	validation_0-merror:0.35	validation_0-mlogloss:0.708439
[54]	validation_0-merror:0.35	validation_0-mlogloss:0.710577
[55]	validation_0-merror:0.366667	validation_0-mlogloss:0.711197
Stopping. Best iteration:
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.705909

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05629
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.023
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.98929
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.96207
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939889
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.921416
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.902364
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.882844
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.869826
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.851612
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.84095
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824638
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.810155
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.803558
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.796079
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.783966
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775313
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.770624
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.760312
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753601
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746691
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740721
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.731753
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727031
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.722763
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.717901
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.716503
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712978
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.708682
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707652
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.70304
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703155
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700858
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.698517
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.696695
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.693011
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.694965
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.691559
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.688484
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.686365
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.688077
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.683913
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.681245
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.680627
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.680153
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.678043
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.677352
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.677142
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.680327
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.67928
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.679945
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.682693
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.680406
Stopping. Best iteration:
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.677142

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05817
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02689
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994916
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.964102
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.942405
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.922801
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.907278
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.894255
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.878844
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.864468
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.853002
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.842457
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.832935
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.818956
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.8105
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.802403
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.791081
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.784871
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.779872
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.772512
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.76492
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.75989
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.761948
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.756476
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.752642
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.752155
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.746077
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.741283
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.736999
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.735018
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.733719
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.731348
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.728067
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.727389
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.72662
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.727973
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.725132
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.726955
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.730212
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.727717
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.727253
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.72806
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.725132

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0602
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02954
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00448
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976907
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955616
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.9402
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.918846
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.904401
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.891229
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.88354
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.881678
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.876227
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.862392
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.852944
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.839514
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.833423
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.82648
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.820173
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.811169
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.803888
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.798914
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.793999
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.791497
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.786012
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.781756
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.777373
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.771463
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.770185
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.764725
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.762891
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.762861
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.760561
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.759069
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.753903
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.751066
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.751533
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.75224
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.748848
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.746921
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.744204
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.741021
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.73862
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.737247
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.735939
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.734925
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.732965
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.73161
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.729692
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.728739
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.727802
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.727047
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.727135
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.729245
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.727746
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.73044
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.731832
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.727047

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05908
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02634
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.99714
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.971102
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.951412
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.932375
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.915287
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.901194
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.887454
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.875624
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.865081
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.854588
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.845945
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.830317
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.816882
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.812255
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.799933
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.789782
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.782704
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.775686
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.770174
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.767811
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.764588
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.763545
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.760117
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.75741
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.753893
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.753182
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.750727
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751225
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.749876
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.744214
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.744501
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.742093
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.737774
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.734351
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.734579
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.732065
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.731541
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.729005
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.727395
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.727653
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.727571
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.727184
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.726734
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.72283
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.722194
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.718953
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.716846
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.714221
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.712129
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.714377
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.710455
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.707958
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.707786
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.706336
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.705858
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.704507
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.702848
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.703055
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.704152
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.702605
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.700554
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.700595
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.699426
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.699844
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.69911
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.699365
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.697517
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.699001
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.699166
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.698745
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.698278
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.698352
Stopping. Best iteration:
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.697517

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05513
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01983
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990578
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.966793
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941737
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923955
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.908105
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.891338
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.877306
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863576
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.851224
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.840962
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.831201
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.823243
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.814924
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.805401
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.800058
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.794395
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.785535
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.778818
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.772666
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.769354
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.762752
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.756865
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.754129
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.750084
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.745664
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.741236
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.737528
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.733634
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.734571
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.73174
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.726697
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.725416
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.726521
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.723888
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.722581
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.718753
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.716639
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.716552
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.716198
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.716936
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.717268
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.716627
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.719041
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.72019
Stopping. Best iteration:
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.716198

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02412
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.994563
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975064
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.948388
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.930354
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.915711
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900306
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.889916
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.881443
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.871604
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.866551
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.856969
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.852287
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.842581
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.838784
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.833819
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.828841
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.828159
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.822714
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.818137
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.811025
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.808905
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.79845
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.794341
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.791341
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.785727
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.782023
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.777209
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.774834
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.771052
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.770767
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.765398
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.764954
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.758861
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.757874
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.756543
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.753035
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.752092
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.747944
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.746122
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.743951
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.742515
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.738246
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.73776
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.735201
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.734975
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.732451
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.731414
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.728614
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.729148
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.731797
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.729463
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.726824
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.725271
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.725845
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.727192
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.726307
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.729299
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.728647
Stopping. Best iteration:
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.725271

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04886
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0079
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.976343
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.948995
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.922863
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.898189
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.879522
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.86261
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.841158
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.824472
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.815056
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.805752
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.79852
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.791254
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.784913
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.774933
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765066
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.758383
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.749039
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.739638
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.733013
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.732621
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.729823
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.724021
[24]	validation_0-merror:0.233333	validation_0-mlogloss:0.714041
[25]	validation_0-merror:0.216667	validation_0-mlogloss:0.709374
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.710414
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.70306
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.704574
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.705335
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.704756
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.705945
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.71217
Stopping. Best iteration:
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.70306

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05825
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01607
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.977826
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.949043
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.927211
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.906866
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.889495
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.868663
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.854462
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.848989
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.842326
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.834921
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.835788
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.82625
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811853
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799471
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.791284
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.792642
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.784463
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.777047
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.774824
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769129
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.770678
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.765158
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.763258
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.767203
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.76662
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.765331
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.771178
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.771077
Stopping. Best iteration:
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.763258

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.04944
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01407
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.985336
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.951558
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.921256
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.899213
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.880629
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.863802
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.850578
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.832723
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.831099
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822394
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.804325
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.803243
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.790728
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.773164
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.768205
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.752743
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.756852
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.754488
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.75435
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.758214
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.755789
Stopping. Best iteration:
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.752743

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.04643
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00185
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.962033
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.938542
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.913684
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.888646
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.864881
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.844438
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.826313
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.812499
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.800266
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.779329
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.769075
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.761659
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.752478
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.748496
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.73941
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.733817
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.723461
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.719301
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.712308
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.70199
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.696466
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.690199
[24]	validation_0-merror:0.216667	validation_0-mlogloss:0.683993
[25]	validation_0-merror:0.216667	validation_0-mlogloss:0.680168
[26]	validation_0-merror:0.233333	validation_0-mlogloss:0.678485
[27]	validation_0-merror:0.216667	validation_0-mlogloss:0.675765
[28]	validation_0-merror:0.216667	validation_0-mlogloss:0.675947
[29]	validation_0-merror:0.216667	validation_0-mlogloss:0.674592
[30]	validation_0-merror:0.216667	validation_0-mlogloss:0.669945
[31]	validation_0-merror:0.216667	validation_0-mlogloss:0.675398
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.675372
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.674574
[34]	validation_0-merror:0.216667	validation_0-mlogloss:0.67415
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.671335
Stopping. Best iteration:
[30]	validation_0-merror:0.216667	validation_0-mlogloss:0.669945

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05168
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01211
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.97652
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.937096
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.910622
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.894758
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88196
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.866764
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.85368
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845559
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.838027
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.830836
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.827364
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.822272
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.810853
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.807304
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.799071
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.798755
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.794955
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.791768
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.789443
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.782752
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.786415
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.784062
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.782231
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.781194
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.782367
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.77614
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.778156
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.7805
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.782424
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.780903
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.783333
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.77614

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05016
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00537
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.974595
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.940438
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.921505
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.90734
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.887075
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.868625
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.851174
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.847826
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.838108
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.835901
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.82963
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.822132
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.819806
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.810046
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.804801
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.793672
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.794764
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.78047
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.77571
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.77591
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.772706
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.771931
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.766811
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.763816
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.763223
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.76084
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.762914
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.766195
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.771783
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.772424
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.76971
Stopping. Best iteration:
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.76084

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04308
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:0.999546
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.963483
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.933286
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.90915
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.886134
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.867652
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.850275
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.832807
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.818339
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.803468
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.793479
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.779861
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.772008
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.762246
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.748823
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.745818
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.7422
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.734767
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.73013
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.727711
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.725394
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.722274
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.720862
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.718003
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.71326
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.709829
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.70512
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.703765
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.702145
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.698181
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.695259
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.693158
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.688956
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.688122
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.688229
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.687716
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.687053
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.687359
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.685219
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.684759
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.683098
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.683245
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.683921
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.684433
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.682993
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.682506
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.685608
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.685647
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.689134
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.689826
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.690766
Stopping. Best iteration:
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.682506

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04824
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00628
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.968572
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.940618
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.914496
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.894861
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.880546
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.870973
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864106
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.853302
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.848478
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.842229
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.831961
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.821378
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.819077
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.811658
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.810679
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.803465
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.806692
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.803824
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.805695
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.807707
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.81197
Stopping. Best iteration:
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.803465

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05026
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00947
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.97369
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.94641
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.920585
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.900215
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.878454
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.863883
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.859085
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.854614
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.843227
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.835938
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.832687
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.829285
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.82787
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.826795
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.824731
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.823478
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.823043
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.824463
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.827683
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.828506
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.829388
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.830381
Stopping. Best iteration:
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.823043

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04768
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00533
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977055
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.951455
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.924702
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.902478
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.881353
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868201
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848106
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.82987
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.820606
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.813446
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809828
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.803029
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79766
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.789401
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.78636
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.779409
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.771539
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.764876
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.753989
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750214
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745482
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.740499
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.733903
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.725859
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.724561
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71935
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.714863
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.714785
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.714096
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.71341
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.716675
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.715051
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.714723
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.716887
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.719015
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.71341

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06059
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02079
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.985032
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951403
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.928289
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.90829
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.887358
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.867527
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.849369
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.841837
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.83237
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.817797
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.814736
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.809732
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.80163
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.791
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.786905
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.784206
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.777769
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.769552
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767994
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.762334
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.763088
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.759605
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.758334
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.756705
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.753977
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.759455
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.756974
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.752041
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.749608
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.752924
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.754201
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.758811
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.766127
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.769322
Stopping. Best iteration:
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.749608

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05173
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01559
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984286
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.953082
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.923976
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.905018
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.888363
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.874829
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.859119
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.845369
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.842496
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.832226
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.817574
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815053
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798185
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.784688
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776016
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.762266
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.764303
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.764301
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.765325
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.760877
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754691
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.752959
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.755488
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.751728
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.748841
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.743193
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737646
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.73759
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.735562
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.736442
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.737539
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.735992
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.737845
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.738596
Stopping. Best iteration:
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.735562

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04913
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00793
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.968598
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.941317
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.918312
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.892521
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.870983
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.851314
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.839205
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.823504
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.811896
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.795379
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.782333
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.774966
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.767687
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.758724
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.751901
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.748991
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.740911
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.733589
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.722898
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.714363
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.710621
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.706945
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.702327
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.698411
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.695855
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.693076
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.688921
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.690832
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.693821
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.696427
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.695963
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.699041
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.688921

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04904
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977373
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.938858
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.916988
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.901405
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.883632
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.872157
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.853228
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.839116
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.830146
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.818308
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.811334
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.808576
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.798654
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.793676
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.787353
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.786878
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.780852
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.776565
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.777214
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.770764
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.772696
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.766172
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.762334
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.763588
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.759724
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.758831
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.759353
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.760311
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.761818
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.759718
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.761042
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.758831

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05207
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00866
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.978707
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.940917
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.920742
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.90221
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.880606
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.85919
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.847619
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.843932
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.836842
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.833952
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.820545
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.814784
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.801471
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.792111
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.787013
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.78034
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.776696
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.769619
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760682
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.759556
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.755169
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.754814
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.750315
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.751999
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.7511
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.751296
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.753397
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751788
Stopping. Best iteration:
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.750315

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.04748
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00446
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.97161
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.941518
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.915368
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.894507
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.874403
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.856174
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.841963
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.82859
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.819738
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.809915
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.798793
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.790599
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786075
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.779708
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77108
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763149
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757713
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.752085
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.750371
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.74893
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.744928
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.73959
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.73689
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738104
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.733272
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.73169
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.732019
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.72841
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.724235
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.723872
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.72369
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.723346
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.722584
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.724235
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.724759
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.724732
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.722968
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.722518
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.723431
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.72227
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.720657
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.717894
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.717487
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.719
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.717053
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.716563
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.714846
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.715307
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.713432
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.7133
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.711685
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.712053
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.710346
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.709815
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.709116
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.710881
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.710759
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.711848
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.711221
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.7104
Stopping. Best iteration:
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.709116

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04789
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00592
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.970474
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.942933
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.914943
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.889454
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.869032
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.85828
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.843699
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.832816
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.826777
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.824834
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.824937
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.812142
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.810161
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802281
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.801572
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.802564
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.798124
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.793734
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.795904
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.790434
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.787928
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.787749
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.781604
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.784922
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.782809
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.788168
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.785351
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.786781
Stopping. Best iteration:
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.781604

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.0061
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.971021
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.938877
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.916761
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.893346
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.877876
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.862266
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.854163
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.843501
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830302
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820822
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.819418
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.814828
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.814016
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.806844
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.806746
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.798883
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.796858
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.797554
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.798675
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.797164
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.79914
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.793061
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.790339
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.785599
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.783794
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.782893
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.779778
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.78106
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.780889
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.776326
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.780221
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.781013
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.783324
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.785747
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.788578
Stopping. Best iteration:
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.776326

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0477
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00767
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.97788
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.94894
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.92736
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.905456
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.888648
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.869567
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.853957
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.83905
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828174
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815882
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.807919
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.798356
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.790049
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.783085
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.772186
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.767702
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.761821
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.755292
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.746467
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.741781
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.738704
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.730971
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.722342
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.716763
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.717398
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712418
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.706724
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.70861
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.708415
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.708944
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.709026
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.708599
Stopping. Best iteration:
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.706724

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02012
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.985114
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.950777
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.924837
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.903125
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.884734
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.870871
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.85313
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.846339
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.838245
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.829848
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.827288
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.818251
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.813442
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.801432
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.795409
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792622
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785157
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.778346
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.778028
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.766986
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.76622
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.761357
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.761601
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.760792
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.756007
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.754953
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.747209
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.746443
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.748858
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.750773
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.748638
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.749286
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.75733
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.746443

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06106
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02791
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.993799
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.963143
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.942184
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921595
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.899996
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.88625
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.86984
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.856225
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.849625
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.835171
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.821823
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.815632
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799617
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784585
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775709
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.768276
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.766665
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.761299
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.764806
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.765158
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.76288
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.759868
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.760116
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.759603
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.752842
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.745984
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737945
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.737324
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.734782
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.734007
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.736377
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.739078
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.736676
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.736674
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.736351
Stopping. Best iteration:
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.734007

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04836
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00839
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.973272
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.946444
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.922208
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.899879
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.878952
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.860389
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.843937
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.826082
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.816799
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.79865
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.787499
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.781522
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.775837
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.766702
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.757441
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.752897
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.745506
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.743479
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.735795
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.729159
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.722625
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.719584
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.715976
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.711152
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.708302
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.703533
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.700555
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.70296
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.701813
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.701181
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700682
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.700473
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.701745
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.701054
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.70183
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.697954
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.695324
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.694291
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.695462
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.692009
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.689292
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.691375
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.693299
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.693423
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.698254
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.701987
Stopping. Best iteration:
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.689292

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04894
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01206
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.974694
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.937155
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.918069
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.90493
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.887893
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.873931
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.857443
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.845189
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.83188
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.82453
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.819231
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.813392
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.800667
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.79398
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.789014
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.780405
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.773667
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.770356
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.769172
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.765042
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.774261
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.769356
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.765221
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.764377
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.760087
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.7571
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.757457
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.761641
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.763384
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.770696
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.771444
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.7571

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01156
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.979098
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.943474
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.924771
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.908945
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.886112
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.866934
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.856588
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.85159
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.84911
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.844827
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.834819
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.831582
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.82117
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.811253
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.801781
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.792457
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.789659
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.780522
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.775291
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.774622
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.768777
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.766351
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.763034
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.764121
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.765495
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.761414
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.762788
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.765358
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.766353
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.766294
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.7626
Stopping. Best iteration:
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.761414

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04531
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00281
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.967786
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.93681
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.909423
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.889064
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.871749
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.855545
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.842681
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.83141
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.820582
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.812013
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.80576
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.799193
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792705
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786439
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779161
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.774179
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.771313
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.768901
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.765939
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.764853
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765598
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.762907
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.760568
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.75747
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.754239
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.753335
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.747055
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.749348
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.747679
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.749247
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.747686
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.747942
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.747055

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04776
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0027
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.966074
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.93451
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.907561
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.886662
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.868541
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.852652
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.838321
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.826148
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.815928
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.804015
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.794058
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.787391
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.78493
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.781739
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.778421
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.77813
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.775704
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.770019
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.764493
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.762312
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.764196
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.760079
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.760138
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.760001
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.758365
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.757537
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.759163
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.761203
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.763669
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.765557
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.767179
Stopping. Best iteration:
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.757537

[0]	validation_0-merror:0.266667	validation_0-mlogloss:1.04528
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00722
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.97473
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.945701
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.923777
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.902131
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885628
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.867391
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.857615
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.842993
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.83786
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.828281
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.819933
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.813927
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.814832
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.810409
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.805369
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.805854
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.806242
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.802222
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.800519
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.801526
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.801581
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.796148
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.795222
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.793461
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.790995
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.785346
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.785171
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.778991
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.778078
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.775994
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.775273
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.773567
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.774881
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.775324
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.773657
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.772116
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.770179
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.77349
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.774341
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.770539
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.768469
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.766719
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.766876
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.765817
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.766655
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.771576
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.774242
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.774833
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.780197
Stopping. Best iteration:
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.765817

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04875
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01121
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977567
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.949096
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.926134
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.90546
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.888343
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.871475
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858134
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.84003
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.82892
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.81831
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.811071
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.804338
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.800134
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.788973
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774397
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768426
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.761987
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.756953
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.746536
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.742438
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.73742
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.726275
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.718811
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.711971
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.713371
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.702724
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.702158
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.704235
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.705081
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.706107
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.704384
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.702617
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.702158

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06342
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02153
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.989561
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.957726
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.935282
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.914561
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.895415
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.881379
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.861305
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.852406
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.84275
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.830134
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.826697
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.818247
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.808654
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802511
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.791101
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.785727
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.78412
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.769979
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.765037
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.757973
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.757958
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.75483
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.75242
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.754085
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.746794
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.747551
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.746193
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.744405
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.7448
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.744863
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.744927
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.744045
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.750607
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.754675
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.756238
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.758208
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.766473
Stopping. Best iteration:
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.744045

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.997179
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.966805
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.945145
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.926943
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.910738
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895676
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.878882
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.86779
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.860154
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.849179
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.833477
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.825988
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.81724
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.806997
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.799734
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.792971
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.792327
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.789463
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.789732
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.789199
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.786806
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.779448
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.77756
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.775745
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.768612
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.767218
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.762753
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.762342
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.756324
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.753827
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.755379
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.753853
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.75256
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.752307
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.752724
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.749881
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.751957
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.747888
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.749097
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.744788
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.748521
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.745713
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.744924
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.743257
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.74651
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.748596
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.747961
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.747862
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.74968
Stopping. Best iteration:
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.743257

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04907
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0104
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978422
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.95241
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.931014
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.910564
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.889604
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.870377
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.853722
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.836084
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.823667
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.805785
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.793826
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.787741
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.78473
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.776332
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.766546
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.761328
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.753515
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.750106
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.742857
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.739125
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.731031
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.729903
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.72397
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.725984
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.724317
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.719329
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.718476
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.717499
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.716853
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.716119
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.714816
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.710948
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.711943
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.707031
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.710148
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.707328
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.705097
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.703263
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.706547
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.705994
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.704012
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.704715
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.708042
Stopping. Best iteration:
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.703263

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05123
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01506
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.981119
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.945686
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.922307
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.903781
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.884174
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.874424
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.862297
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.84836
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.834925
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.828204
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.820968
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.812734
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.800822
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.793791
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.787597
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.782708
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.777142
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.770675
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.769259
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.762044
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.764604
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.759315
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.761596
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.764588
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.762798
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.762627
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.764102
Stopping. Best iteration:
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.759315

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01394
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.984919
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.954291
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.936066
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.921725
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.900885
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.881951
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.875582
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.869314
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.865416
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.857367
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.848843
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.842943
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.831487
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.820921
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.811572
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.801903
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.798474
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.787279
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.782861
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.781375
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.779171
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.779295
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.777454
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.774736
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.773308
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.772795
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.776624
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.778477
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.778862
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.778716
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.774394
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.772795

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05115
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01325
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.98193
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.955006
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.93031
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.911834
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.895944
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.881547
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.8685
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.856251
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.8469
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839339
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.831672
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.823979
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.818041
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.810131
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.805265
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.798292
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789359
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.780006
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.779979
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.780359
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.777725
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.773877
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.770669
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.764918
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.764565
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.764624
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.76284
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.761728
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.761078
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.758231
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.757371
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.756781
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.757296
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.752063
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.750903
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.750571
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.75217
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.749818
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.74767
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.743727
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.744159
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.741802
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.74099
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.736682
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.736939
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.732331
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.73078
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.732555
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.731527
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.729055
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.730715
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.732494
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.733626
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.731645
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.731763
Stopping. Best iteration:
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.729055

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04787
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00745
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.972267
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.942822
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.919927
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.899458
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.878128
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.861113
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.845759
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.833448
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.822606
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.816865
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.811555
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.806758
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.799256
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.800035
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.793982
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.786705
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.78601
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.782585
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.780752
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.783633
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.781658
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.780123
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.781046
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.776724
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.774674
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.7773
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.777739
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.778014
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.779481
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.779
Stopping. Best iteration:
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.774674

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05152
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01219
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.979022
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.950874
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.931459
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.913099
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.902488
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.88353
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.869309
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.863503
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.852511
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.842463
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.833224
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.822989
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.824461
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.824818
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.820648
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.817004
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.809411
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.804876
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.802415
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.801991
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.798131
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.794939
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.791869
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.790573
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.78929
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.788344
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.781054
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.771087
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.767877
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.765763
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.764078
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.762742
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.76568
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.761754
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.762523
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.760268
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.764068
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.767462
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.767334
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.77104
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.769487
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.760268

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04813
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980018
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.950213
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.925624
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904816
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.887912
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.871804
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858611
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.840964
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.829195
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.821054
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.812717
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.802514
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.798296
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.790995
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.780421
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.773983
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767995
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.761607
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.753995
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.749199
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.745535
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.738002
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.730014
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.724079
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.72339
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.71751
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.714278
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.713592
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.713699
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.712328
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.713712
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.713414
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.711971
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.712433
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.713549
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.718441
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.71482
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.713286
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.711971

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06472
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02557
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.993461
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959863
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.936479
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.917065
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.897312
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.882013
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.862972
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.853961
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.843356
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.831854
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.827775
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.818369
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.80761
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.79734
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.785672
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.782254
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.778735
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.769821
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.765085
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.760936
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.759411
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.757471
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.755231
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.760485
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.753106
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.749899
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.74775
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.744636
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.745083
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.747006
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.743696
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.742336
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.743756
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.747548
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.748229
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.750498
[38]	validation_0-merror:0.4	validation_0-mlogloss:0.75825
Stopping. Best iteration:
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.742336

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06089
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999297
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971465
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.946297
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926245
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.909617
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.895451
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.879323
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.863694
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.857616
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.844987
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.829786
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.823303
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.81208
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.801561
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.794339
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.789144
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.788152
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.78045
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.780217
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.774155
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.769051
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.762262
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.757543
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.754004
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.748382
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.746481
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.743288
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.740739
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.73617
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.734429
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.7339
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.734286
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.731073
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.731043
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.73143
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.727355
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.728158
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.724649
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.722683
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.719742
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.720195
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.719951
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.719918
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.717373
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.71929
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.721477
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.716846
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.716049
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.717881
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.718594
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.72193
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.718264
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.720693
Stopping. Best iteration:
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.716049

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0504
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01679
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.9823
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.955101
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.934036
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.912752
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.891448
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.871975
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.852901
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.835919
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.823201
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.806915
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.795098
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.787123
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.780801
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.772202
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.765213
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.764805
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.762234
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.759074
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.753706
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.754139
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.746536
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.741404
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.737886
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.732518
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.731113
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.72495
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.721501
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.725369
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.722901
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.722662
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.722739
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.72005
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.718529
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.716474
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.717612
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.721634
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.718884
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.718475
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.719496
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.716474

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05652
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.01859
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.984893
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.95369
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.929385
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.913818
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.89897
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.887617
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.87367
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.857349
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842296
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833165
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.823404
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.813794
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.805876
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.802075
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.796377
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.788897
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.780665
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.775891
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.774828
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.767806
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.768973
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.765522
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.764044
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.764466
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.756362
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.756945
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.759645
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.76069
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.761499
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.761249
Stopping. Best iteration:
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.756362

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994168
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.9616
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.939901
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.92368
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.90348
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885852
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875063
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.867492
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.851765
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.842433
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831458
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.826487
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.818542
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.813036
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.809908
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.80627
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.801648
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.791215
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.786625
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.787658
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.783699
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.779014
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.776821
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.77986
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.776371
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.775249
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.778266
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.775595
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.773791
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.770646
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.770415
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.768988
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.767651
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.772273
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.77203
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.770517
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.768215
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.768243
Stopping. Best iteration:
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.767651

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05091
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01348
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.982202
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.955446
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.933936
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.913827
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.89793
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.88357
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.869725
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.85803
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.848747
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839291
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.831759
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.823411
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.815574
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.809542
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.805263
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.801425
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.801169
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.797688
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.798524
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.797295
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.794988
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.794737
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.793321
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.788375
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.785672
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.784102
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.778373
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.773816
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.77229
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.770638
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.770969
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.769117
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.763614
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.762603
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.763239
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.764245
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.764302
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.763642
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.761878
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.760324
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.761316
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.760605
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.760164
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.761046
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.759039
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.756033
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.755366
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.755884
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.755253
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.756483
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.754333
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.75254
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.750292
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.751753
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.751901
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.750377
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.747677
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.745828
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.745106
[61]	validation_0-merror:0.316667	validation_0-mlogloss:0.744802
[62]	validation_0-merror:0.316667	validation_0-mlogloss:0.74401
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.741784
[64]	validation_0-merror:0.316667	validation_0-mlogloss:0.742842
[65]	validation_0-merror:0.316667	validation_0-mlogloss:0.743847
[66]	validation_0-merror:0.316667	validation_0-mlogloss:0.745068
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.742439
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.743183
Stopping. Best iteration:
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.741784

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04766
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00744
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.973823
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.945436
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.9204
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.898614
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.882505
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.867655
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.858263
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845253
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.836388
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.831893
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.823463
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.820903
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.813963
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.805211
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800888
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.797287
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.794435
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.789714
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.789508
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.78943
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.790959
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.788122
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.787184
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.789454
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.788452
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.784779
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.778824
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.77905
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.776519
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.775533
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.774826
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.778485
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.780527
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.780043
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.782307
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.784813
Stopping. Best iteration:
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.774826

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0529
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01442
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978862
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957423
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.927437
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.905558
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.890633
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.877643
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.863241
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.856094
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.845272
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.83341
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.827147
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.820734
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.817055
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.816805
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80904
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.8092
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.80668
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.805647
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.79943
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.797104
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.793771
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.792836
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.787062
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.785922
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.784063
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.780691
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.778852
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.776542
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.773132
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.770812
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.772114
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.76908
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.769554
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.767528
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.7706
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.76955
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.767975
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.764654
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.763701
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.764964
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.764766
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.763496
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.761868
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.763357
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.763099
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.764215
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.765598
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.767
Stopping. Best iteration:
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.761868

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04941
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0063
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.975075
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.945182
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.920204
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.898019
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.875164
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.859193
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.837165
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.820285
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.808255
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.796592
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.790269
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.781684
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.775607
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.768283
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.761722
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.758549
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.748552
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.743333
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.738354
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.739497
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.738427
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.733792
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.725361
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.722186
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.722784
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.714882
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.713016
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.71789
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.718657
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.721496
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.725423
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.725211
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.713016

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06141
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01796
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98266
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.953799
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.930577
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.910958
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.891289
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.875337
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.861778
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.855893
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.846378
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.83926
[12]	validation_0-merror:0.433333	validation_0-mlogloss:0.835774
[13]	validation_0-merror:0.416667	validation_0-mlogloss:0.830483
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.819754
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.808498
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.802044
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.804788
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.798664
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.790536
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.789785
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.781027
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.78175
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.777485
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.781559
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.786776
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.786441
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.786319
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.78261
Stopping. Best iteration:
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.777485

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05411
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01755
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.987237
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.952656
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.921031
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.899716
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882342
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.863493
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851025
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.835348
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.836538
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.81996
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.803152
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.798196
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.783959
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.771267
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.761961
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.748233
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.749645
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.746174
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.745536
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.743002
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.743767
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.742724
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.742777
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.742085
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.752284
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.755215
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.752534
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.753078
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.755264
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.742085

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.04622
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00616
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.965926
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.941881
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.915623
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.890798
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870445
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.850242
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.831712
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.819221
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.811968
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.791893
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.783384
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.775465
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.765988
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.759467
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.753202
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.746481
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.74276
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.741918
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.731937
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.722403
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.718395
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.71283
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.709371
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.704934
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.703287
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.699653
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.700794
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.701085
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.697217
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.702773
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.70288
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.704633
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.704567
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.705569
Stopping. Best iteration:
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.697217

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05467
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01619
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977654
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.936771
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.91261
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.896661
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.875158
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.857906
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.842456
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.828505
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.820543
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.812896
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.804639
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.796876
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.786409
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.780774
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.777396
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.777265
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.775257
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.77332
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.776667
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.771772
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.775666
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.772284
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.769767
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.767786
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.769097
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.769074
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.769461
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.770887
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.771265
Stopping. Best iteration:
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.767786

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05508
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01244
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.986067
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.951739
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.929589
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.916994
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894082
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.875861
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.864564
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.859067
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853018
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.848804
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.842319
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.837634
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.832658
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.827183
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.821979
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.812319
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.811986
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.805014
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.799671
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.805551
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.80283
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.801387
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.802743
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.799771
Stopping. Best iteration:
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.799671

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.04262
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:0.996312
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.961568
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.929276
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.907095
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.881017
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.860349
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.840187
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.820996
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.805888
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.786605
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.770049
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.755861
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.744172
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.73579
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.730333
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.720599
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.715151
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.711276
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.708271
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.706123
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.701138
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.698478
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.697267
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.696251
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.689402
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.688145
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.683801
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.680119
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.680232
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.676614
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.677076
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.677059
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.677808
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.675387
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.677764
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.680127
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.679494
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.678849
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.677098
Stopping. Best iteration:
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.675387

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00633
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.968193
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.937573
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.911535
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.890282
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.872982
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.857023
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.850298
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.838432
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.838094
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.831952
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.829414
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.822772
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.817972
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.80835
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.805313
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.799317
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.80348
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.808502
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.808693
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.811794
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.813564
Stopping. Best iteration:
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.799317

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05558
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01513
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.980607
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.956648
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.935661
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923358
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.909491
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.897806
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.889316
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.881169
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.87466
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.864153
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.859646
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.854441
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.85338
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.853389
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.853657
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.856563
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.859958
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.862874
Stopping. Best iteration:
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.85338

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04813
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00398
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.975753
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.95022
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.922685
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.901589
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.879747
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.865446
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.845958
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.827762
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.818012
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.809684
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.803748
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.797503
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792847
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.785359
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780487
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.77485
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.766861
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.761781
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.753746
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747728
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.742891
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.736843
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.73116
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.723232
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.722596
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.716256
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.711908
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.711755
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.709391
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.707612
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.710513
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70786
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.706414
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.709442
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.712778
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.718056
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.715444
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.712092
Stopping. Best iteration:
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.706414

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06032
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02419
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.988841
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.955698
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.932145
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.911741
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.891825
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.871707
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853604
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.846932
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.837612
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.82702
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.826038
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813839
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.807515
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.798096
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.792708
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.791931
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.790646
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.786251
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.784719
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.779867
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.781769
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.776422
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.775318
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.7728
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.770316
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.766864
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.757257
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.758585
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.756843
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.758357
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.757543
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.758775
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.764293
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.770571
Stopping. Best iteration:
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.756843

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05207
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01429
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.98082
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.94796
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.919262
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.899765
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.882982
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.870338
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.858271
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.843717
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842241
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.826552
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.811141
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.805858
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.792405
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.779326
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.769524
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.755186
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.754005
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.752035
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.749366
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.747448
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.746109
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.74438
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.745957
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.743024
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.740012
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.739148
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.741416
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.741184
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.735408
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.738903
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.738979
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.739417
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.741603
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.740248
Stopping. Best iteration:
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.735408

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05056
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01125
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.973761
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.944328
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.923855
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.89747
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.873513
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.852256
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.832793
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.817238
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.8109
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.795835
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.785096
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.779409
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.773895
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.767354
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.760638
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.75702
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.748069
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.744983
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.740083
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.731539
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.726731
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.720314
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.716499
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.713444
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.712362
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.705941
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.703343
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.702233
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.697428
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.701461
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.699919
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.699055
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.700013
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.696784
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.698827
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.697033
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.695193
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.692188
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.692641
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.69381
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.691603
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.693768
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.69788
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.698528
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.703742
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.705349
Stopping. Best iteration:
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.691603

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04882
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01243
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.97393
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.931763
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.90545
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.890128
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.873371
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.859918
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.841358
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.827528
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.814626
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.806255
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.800817
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.799226
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788832
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.783269
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779389
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.778978
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.774087
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.770407
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.768509
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.763498
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.771173
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.770805
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.769735
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.769108
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.77437
Stopping. Best iteration:
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.763498

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05499
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.980287
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.94259
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.920393
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.902448
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.88143
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.860682
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.847518
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.842854
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.833469
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.830507
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.816058
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808748
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.79635
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.789344
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.779119
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772286
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.771873
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.765779
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760089
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.75919
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.755941
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.753444
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.752687
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.753709
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.752711
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.751886
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.752607
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.751963
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.757233
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.756875
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.753211
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.751886

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04989
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00545
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.972316
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.940643
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.916371
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.894676
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.876431
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.86133
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.849237
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.836042
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.826226
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.819979
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.812804
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.805667
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.798975
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.790523
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.782609
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.775186
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767896
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766878
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.761341
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.757682
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.755003
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.752864
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.748613
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.74607
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.740306
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.737757
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.735959
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.736386
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.735234
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.735234
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.733262
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.732014
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.732592
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.731119
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.733577
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.738118
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.741021
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.739986
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.743504
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.731119

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04752
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00655
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.970633
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.938982
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.913775
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.890637
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.872349
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.852976
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.836238
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.821218
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.808846
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.795229
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.789692
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.777463
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.777355
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.771862
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.773473
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.770678
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.762115
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.75254
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.747917
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.744908
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.74624
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.745093
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.749059
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.752683
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.751132
Stopping. Best iteration:
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.744908

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05117
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01084
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.9787
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.946094
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.918152
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.895141
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.878935
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.862314
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853216
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.846424
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.83847
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.832971
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.827098
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.822434
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.81719
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.816785
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.81167
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.80867
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.804109
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.806393
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.808076
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.809733
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.812796
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.813412
Stopping. Best iteration:
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.804109

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04853
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00747
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977734
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.947836
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.925504
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.906156
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.885399
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868187
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853332
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.838224
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.827196
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.815209
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.807541
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.798192
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.791726
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.786309
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780615
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.777105
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.769219
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.763994
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.755071
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750603
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.750132
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.742588
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.73466
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.730635
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.731557
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.727083
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.721151
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.72212
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.718706
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.717863
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.718236
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.716303
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.716847
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.715573
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.715294
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.720892
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.716471
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.711656
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.707143
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.701672
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.702612
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.702814
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.705415
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.702063
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.703987
Stopping. Best iteration:
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.701672

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02308
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.987189
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.954737
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.929045
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.909023
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.888472
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.874496
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.856729
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.850145
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.841617
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.828401
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.824499
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.816274
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811491
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.800902
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.79499
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.79621
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.790671
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783233
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.781018
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.771583
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.771491
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.766641
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.764812
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.764128
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.759296
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.758126
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.747159
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.746833
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.753462
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.757672
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.75757
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.752827
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.760471
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.746833

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06106
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02791
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.992243
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.959049
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938728
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.917539
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.897967
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.884257
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.8703
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.857669
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.851198
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.837314
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.82365
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.817507
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.80402
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788125
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.780036
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.772523
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.769966
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.762505
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.765356
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.766326
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.766079
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.763018
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.763947
Stopping. Best iteration:
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.762505

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04826
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00925
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977946
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.948852
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.926707
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.906791
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88846
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868016
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.85092
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.833048
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.823668
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.808351
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.798949
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.793242
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.786334
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.774205
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.766144
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.7599
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.755039
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.753758
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.747095
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.738299
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.735725
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.734168
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.733981
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.729557
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.726575
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.724317
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.722249
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.726058
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.725755
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.725523
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.723912
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.725635
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.722249

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04789
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01062
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.971451
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.935258
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.915751
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.902325
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.879199
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.861848
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.846443
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.835063
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.821368
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.813327
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.806405
[13]	validation_0-merror:0.416667	validation_0-mlogloss:0.797777
[14]	validation_0-merror:0.416667	validation_0-mlogloss:0.785836
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.782386
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.777593
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.770432
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.765539
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.761888
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.762575
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.760952
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.765869
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.764499
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.765102
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.767986
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.763106
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.760952

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05065
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01409
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.980753
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.947079
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.926417
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.909398
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.885334
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.866714
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.853053
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.847259
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.839867
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.835959
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.828489
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.827586
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.819809
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.811353
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.801088
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.793668
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.790313
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.78115
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.775577
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.773911
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.768884
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.768143
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.771138
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.773951
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.77195
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.770609
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.775591
Stopping. Best iteration:
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.768143

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04638
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.00314
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.966593
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.936371
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.911046
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.890184
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.872769
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.856406
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.84242
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.832602
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.823907
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.81639
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810654
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801226
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.795842
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.791852
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.783823
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.776338
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.774259
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.769202
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.761139
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.756421
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754694
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.748341
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.747148
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.74392
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.738356
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.736198
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.734273
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.736684
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.735545
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.736686
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.738012
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.738487
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.734273

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04997
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00699
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.969187
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.937678
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.915092
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.894055
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.876762
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.859116
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.84183
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.832799
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.819604
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807094
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.800198
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.792848
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.786139
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.781864
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.77769
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.770901
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.772049
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.768659
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.763184
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.761574
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.757837
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.757903
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.756996
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.757289
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755712
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.75566
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.754028
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.756752
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.7572
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.76012
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.762705
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.761841
Stopping. Best iteration:
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.754028

[0]	validation_0-merror:0.283333	validation_0-mlogloss:1.04665
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0071
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.973316
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.943695
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.9177
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.902202
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882321
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.865125
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.85009
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.838995
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.82926
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.824039
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.81734
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.815646
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.812566
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.806049
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.807495
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.803163
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.801009
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.799941
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.800253
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.801363
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.803775
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.806576
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.805621
Stopping. Best iteration:
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.799941

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04911
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01157
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.977814
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.948691
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925945
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.906368
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886182
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.869409
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.857609
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83987
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.829848
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.819345
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.810601
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.803902
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798318
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791527
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.777297
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.773643
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767045
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.763909
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.753584
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.749741
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.744897
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.733714
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.726355
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.719891
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.7213
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.712233
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.711828
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.714174
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.714438
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.715686
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.714256
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.71467
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.711828

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06342
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02313
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990128
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.958193
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.935676
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.91608
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.895604
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.880746
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.860935
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.851908
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.842124
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.828691
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.824846
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.816596
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.808577
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802243
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.791884
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.791668
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.789836
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.784405
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.776881
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.771975
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.770822
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.767852
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.764292
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.767397
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.76115
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.759676
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.757717
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.756084
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.755985
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.756139
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.756446
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.754381
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.761387
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.765505
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.767614
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.769976
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.778622
Stopping. Best iteration:
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.754381

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.997179
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965391
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.943652
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.924236
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.907506
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.893045
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.877784
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866659
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.859102
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.848093
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.83245
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.82499
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.817222
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.806987
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.800033
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.793475
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.792691
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.789842
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.789228
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.783113
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.781744
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.774605
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.772362
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.770567
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.763587
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.762551
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.759789
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.759369
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751793
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.749419
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.751023
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.750046
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.74927
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.749068
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.749995
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.747176
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.749167
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.745133
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.741991
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.738269
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.741981
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.739637
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.737855
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.73611
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.739046
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.74095
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.740306
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.738132
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.738674
Stopping. Best iteration:
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.73611

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04891
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01042
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978708
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951454
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.931799
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.911127
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.888275
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.866906
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.846007
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.829269
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.81841
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.80418
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.791834
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.784331
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.780692
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.771006
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.762039
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.759292
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.75121
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.748759
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.739443
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.733459
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.728553
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.722303
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.717086
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.71705
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.714634
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.711064
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.710336
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.713179
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.709759
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.709523
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.709122
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.710206
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.712444
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.712801
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.717403
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.715246
Stopping. Best iteration:
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.709122

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05157
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01591
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.980474
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.94615
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.920714
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.903054
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.885918
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.875428
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.863578
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.852768
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.83929
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.830676
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.824286
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.81487
[14]	validation_0-merror:0.416667	validation_0-mlogloss:0.799486
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.792111
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.786428
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.782082
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.778192
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.77082
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.771969
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.765196
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.771478
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.767263
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.766602
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.768215
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.766945
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.765196

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01436
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985125
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.95443
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.937296
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.922669
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.901698
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.883259
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.876664
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.869999
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.865973
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.857893
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.850168
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.84472
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.828776
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.81807
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.807796
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.802422
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.798758
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.78933
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.78524
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.782039
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.774193
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.774362
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.773995
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.772625
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.766448
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.765489
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.770448
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.77081
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.774823
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.773258
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.770458
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.765489

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05014
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01224
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.980903
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.953866
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.931805
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.910238
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894773
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.879621
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.868766
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.858168
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.845935
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.835651
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.823373
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.814545
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.809251
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.803511
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.799335
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.786903
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.783344
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.776362
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.77384
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769923
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.77092
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.766373
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.761366
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.760465
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.761555
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.759983
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.75784
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.757414
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.754458
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.755371
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.754693
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.756321
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.756295
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.754246
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.754976
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.75081
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.748988
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.746903
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.747491
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.747391
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.747046
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.744838
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.747675
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.749578
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.750961
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.748951
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.748343
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.744838

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0493
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.00969
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.974506
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.950864
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.9234
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.905611
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.886366
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.870089
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.853518
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.839967
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.832688
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.82286
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.820491
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.816974
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.813096
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.810041
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.809781
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.809487
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.804541
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.803152
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.798343
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.791325
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.790091
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.786552
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.785934
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.788295
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.786615
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.788777
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.786154
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.789514
Stopping. Best iteration:
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.785934

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05059
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01231
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.974831
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.952651
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.933096
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.910312
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.895118
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.879028
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.866283
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855852
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.84804
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.834578
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.828623
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.820841
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.818499
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.822046
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.823196
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.815852
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.809894
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.80793
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.804756
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.803303
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.801119
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.799194
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.794947
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.792568
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.791647
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.788428
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.788472
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.782772
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.777945
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.776473
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.772062
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.768383
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.765429
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.766072
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.766293
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.767578
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.769155
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.771313
Stopping. Best iteration:
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.765429

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04813
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980018
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.950213
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.925624
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904816
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885702
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869619
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855528
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.837976
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.824725
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.816801
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.808629
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.797647
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.793597
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.786293
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775781
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769306
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.761783
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.755442
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748966
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.744575
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.741343
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.734208
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.726232
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.720445
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.720323
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.714285
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.711196
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.709033
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.709399
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.707705
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.70917
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.708785
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707934
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.710115
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.713005
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.707705

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06472
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02557
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.993479
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.959867
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.936457
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.91703
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.896423
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.881522
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.862467
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.853431
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.842836
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.830309
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.826137
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.817362
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.809089
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.80205
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.790312
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.786761
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.783076
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.77771
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.772962
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.764817
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.76327
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.760614
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.758229
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.762286
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.754891
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.751623
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.75057
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.747353
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.749661
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.751536
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.748193
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.746901
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.748897
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.752565
[36]	validation_0-merror:0.4	validation_0-mlogloss:0.753208
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.754637
[38]	validation_0-merror:0.4	validation_0-mlogloss:0.762425
Stopping. Best iteration:
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.746901

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06089
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999297
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970285
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.945141
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925114
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.908511
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.894312
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.878199
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.862619
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.856526
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.843916
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.828743
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.822225
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.8102
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.801372
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.794555
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.785417
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.785101
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.777503
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.77713
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.773207
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767143
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.760301
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.75563
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.752391
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.749943
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.74842
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.745236
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.742676
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.739497
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.737564
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.736347
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.734216
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.731196
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.731766
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.735905
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.732356
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.735569
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.732293
Stopping. Best iteration:
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.731196

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05083
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01259
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.979138
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.950866
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.928139
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906804
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.88449
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.86616
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.846423
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829971
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.817639
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.804522
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.794603
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.787243
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.780866
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.769702
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.761635
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.7605
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.752951
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.750319
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.741676
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.739845
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.733613
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.725743
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.72178
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.718768
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.716716
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.712547
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.709257
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.709168
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.706983
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.705847
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.704941
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70678
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.706968
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.705085
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.70419
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.70861
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.70615
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.704418
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.704828
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.703808
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.701346
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.700941
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.703931
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.701579
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.701446
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.702661
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.703029
Stopping. Best iteration:
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.700941

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05653
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01951
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984397
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.953788
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.930788
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.914746
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.899766
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.888898
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.876851
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.861386
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.847849
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.840007
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.831393
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.82198
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.814526
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.810371
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.803497
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.796845
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.790139
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.787124
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.785787
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.780292
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.781966
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.776749
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.778089
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.779684
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.771768
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.769831
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.77183
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.772561
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.772268
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.772562
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.774144
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.769831

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994168
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.9616
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.939901
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.92368
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.90348
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885852
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875063
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.867492
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.85298
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.843626
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.832658
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.827671
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.819471
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.814867
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.811693
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.808987
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.8037
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.79
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.787315
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.788292
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.781994
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.77641
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.777675
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.778229
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.772706
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.771505
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.774441
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.771279
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.770089
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.766873
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.764292
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.762754
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.761561
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.76498
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.765435
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.768553
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.766406
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.767547
Stopping. Best iteration:
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.761561

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04922
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01072
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978637
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.952407
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.930389
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.912256
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.893606
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.87998
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.86658
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854464
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.844784
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.834656
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.826042
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.817498
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811089
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.803022
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.799375
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.793375
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.788936
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.787281
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.786309
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.782152
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.779363
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.775754
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.770732
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.771061
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.764021
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.762244
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.759386
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.756952
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.755566
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.751997
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.750361
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.750002
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.750059
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.752033
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.751316
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.752119
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.751531
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.750002

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04768
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00777
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.974468
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.946731
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.922626
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.900372
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.880581
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.86368
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.847098
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.837752
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.829472
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.822319
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.816231
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.812633
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.804813
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.801831
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.796856
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.792444
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.790601
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.789184
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.788931
[21]	validation_0-merror:0.416667	validation_0-mlogloss:0.787288
[22]	validation_0-merror:0.416667	validation_0-mlogloss:0.78888
[23]	validation_0-merror:0.416667	validation_0-mlogloss:0.786311
[24]	validation_0-merror:0.416667	validation_0-mlogloss:0.784799
[25]	validation_0-merror:0.416667	validation_0-mlogloss:0.783355
[26]	validation_0-merror:0.416667	validation_0-mlogloss:0.782475
[27]	validation_0-merror:0.416667	validation_0-mlogloss:0.781096
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.780589
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.781791
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.782134
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.78396
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.785518
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.789075
Stopping. Best iteration:
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.780589

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0529
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978067
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957385
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.931194
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.908606
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.890932
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.878532
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864788
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.857584
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.844756
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839085
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.832056
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.823518
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.821161
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.82042
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.816164
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.814642
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.812013
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.807397
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.809855
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.807941
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.801867
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.798814
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.79467
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.795117
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.793086
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.791937
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.788345
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.784145
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.781864
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.783112
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.783899
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.78128
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.778896
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.779199
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.777245
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.776003
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.774101
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.772467
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.771301
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.769494
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.76913
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.76864
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.767885
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.769557
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.770657
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.772398
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.772561
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.773818
Stopping. Best iteration:
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.767885

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05127
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00703
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.975826
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.947766
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.922496
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.900534
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.877873
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.862212
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.837533
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.823745
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.811736
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.799776
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.79186
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.787032
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.778435
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.771739
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.766756
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.762396
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.757537
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.750997
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.746935
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.747381
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745152
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.738474
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.729277
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.724823
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.726348
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.719502
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.716678
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.720092
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.719702
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.722539
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.725783
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.723686
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.716678

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06157
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02131
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.985608
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.955619
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.932095
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.909505
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.886316
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.872807
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.85877
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.846317
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.837128
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.82793
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.825004
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.822181
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.813779
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.802028
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.795693
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.795624
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789846
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.784146
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.784877
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.777284
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.774205
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.771408
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.771543
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.77127
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.771051
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.769722
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.765477
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.766771
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.76755
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.766126
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.763039
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.765406
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.769575
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.781918
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.783013
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.789481
Stopping. Best iteration:
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.763039

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05411
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01755
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.987237
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.952344
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.920738
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.899426
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882042
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.863225
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.850764
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.835089
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.83627
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.821096
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80304
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.797945
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.784962
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.772604
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.763278
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.751725
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.752836
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.748745
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.747851
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.745752
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.745694
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.744444
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.743965
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.743621
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.753753
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.756908
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.753714
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.753429
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.75516
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.743621

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04558
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00158
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.961454
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.933852
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.909468
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.885406
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.866281
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.845067
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.824771
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.812252
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.803738
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.783573
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.776426
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.771485
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.762136
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.757048
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.754225
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.749914
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.740968
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.739172
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.729888
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.725133
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.720842
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.719221
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.714791
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.710302
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.708356
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.704926
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.706184
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.70491
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.704869
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.710401
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.712697
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.712795
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.710512
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.706761
Stopping. Best iteration:
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.704869

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05296
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01308
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977539
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.947106
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.923994
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.906589
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.885887
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868812
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.852661
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.845071
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.835132
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.82225
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.819254
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.813208
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.801969
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.799171
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.795312
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.793166
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.78777
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.787837
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.790152
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.789259
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.794192
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.793844
Stopping. Best iteration:
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.78777

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05508
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01244
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.984426
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.950356
[4]	validation_0-merror:0.266667	validation_0-mlogloss:0.928273
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.915629
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.89134
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.873035
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.861341
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856379
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.850413
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.845057
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.838622
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.836566
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.832973
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.82799
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.825776
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.821767
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.824959
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.81856
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.817093
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.823179
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.823322
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.823271
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.827664
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.828087
Stopping. Best iteration:
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.817093

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.04383
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:0.997932
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.961889
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.933559
[4]	validation_0-merror:0.266667	validation_0-mlogloss:0.906488
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.888198
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.867822
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.84604
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.831242
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.810113
[10]	validation_0-merror:0.25	validation_0-mlogloss:0.796425
[11]	validation_0-merror:0.233333	validation_0-mlogloss:0.778217
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.768361
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.758572
[14]	validation_0-merror:0.233333	validation_0-mlogloss:0.751491
[15]	validation_0-merror:0.233333	validation_0-mlogloss:0.747874
[16]	validation_0-merror:0.233333	validation_0-mlogloss:0.744402
[17]	validation_0-merror:0.233333	validation_0-mlogloss:0.74086
[18]	validation_0-merror:0.233333	validation_0-mlogloss:0.737553
[19]	validation_0-merror:0.233333	validation_0-mlogloss:0.733322
[20]	validation_0-merror:0.233333	validation_0-mlogloss:0.731093
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.727451
[22]	validation_0-merror:0.233333	validation_0-mlogloss:0.725446
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.723171
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.72063
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.715104
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.712433
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.713492
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.711982
[29]	validation_0-merror:0.233333	validation_0-mlogloss:0.713451
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.712882
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.714112
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.717053
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.718318
Stopping. Best iteration:
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.711982

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05001
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00867
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.970271
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.937487
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.910633
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.889477
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.870397
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.85695
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.843849
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83927
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.830293
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.829406
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.827866
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.826273
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.825891
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.820824
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.817931
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.81389
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.814582
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.815414
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.818634
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.821368
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.818564
Stopping. Best iteration:
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.81389

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.056
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01552
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.981788
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.958191
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.940453
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.927074
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.913927
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.897339
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.889953
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.880971
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.874427
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.864283
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.860422
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.852742
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.852574
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.855957
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.853268
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.852658
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.857231
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.858744
Stopping. Best iteration:
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.852574

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04947
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00553
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977336
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.951687
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.924066
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.904254
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.882188
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.86946
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.852671
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.83343
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.82633
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.816435
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.811204
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.805077
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.800349
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.79253
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.787967
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.782339
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.774533
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.769648
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.761291
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.755051
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.754357
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.748436
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.741605
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.733158
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.731665
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.72562
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.721529
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.72263
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.719884
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.718407
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.721089
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.718457
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.718939
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.72194
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.723438
Stopping. Best iteration:
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.718407

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06032
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02419
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.988841
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.955698
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.932145
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.911741
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.891594
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.871476
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853343
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.846667
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.837344
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.827123
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.826153
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.82404
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.817185
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.807658
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.802487
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.801189
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.800122
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.795893
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.793741
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.790913
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.792937
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.789256
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.788355
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.785125
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.781909
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.778912
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.765777
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.76699
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.765884
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.767558
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.767409
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.762423
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.767279
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.772645
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.778555
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.783108
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.79418
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.762423

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05207
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01429
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.98082
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.94796
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.919262
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.899765
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.882982
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.870338
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.858271
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.843717
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842241
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.826552
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.811141
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.805858
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.792001
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.778667
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.768846
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.754436
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.753262
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.751248
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.748574
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.746704
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.745372
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.743633
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.745204
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.742283
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.739228
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.738316
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.740964
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.740175
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.735498
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.738792
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.738176
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.737545
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.73861
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.739746
Stopping. Best iteration:
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.735498

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05096
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01106
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.973475
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.945505
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.923294
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.896848
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.871837
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.851728
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.832486
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.81566
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.805697
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.790315
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.778079
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.772674
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.765652
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.758938
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.753337
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.750513
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.744489
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.741413
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.735094
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.726285
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.723968
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.718472
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.714487
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.709467
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.707145
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.703139
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.70161
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.700689
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.697589
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.700521
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.699304
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.69847
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.699447
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.694658
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.697654
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.696922
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.695517
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.692519
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.691413
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.693321
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.691705
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.693273
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.696209
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.696107
Stopping. Best iteration:
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.691413

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04882
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01276
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976087
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.93306
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.90603
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.88968
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.872484
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.858018
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.840818
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.826934
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.815086
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.807984
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.803285
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.801362
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.790998
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786655
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780697
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.777229
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.773695
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.769756
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.771618
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.766432
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.772809
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.773529
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.771152
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.772566
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.774863
Stopping. Best iteration:
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.766432

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05499
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.980287
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.94259
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.920393
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.902448
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.88143
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.860682
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.847518
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.842854
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.833403
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.830487
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.816605
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.809096
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.796941
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791917
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.781618
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.778255
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.776153
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.769622
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.762208
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.764673
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.760868
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.75956
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.756259
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.756044
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.757303
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.757171
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.75989
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.764537
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.769786
Stopping. Best iteration:
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.756044

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05033
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00403
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.97019
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.938746
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.911797
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.888072
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.870882
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.856059
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.844267
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.832302
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.822561
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.815001
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.807475
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.80352
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.799014
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.794772
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.791904
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.787041
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.782845
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.778605
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.775875
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.777426
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.777797
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.77681
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.778773
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.775164
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.775654
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.77636
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.774397
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.776558
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.777125
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.778459
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.781972
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.782753
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.774397

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0487
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00843
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.971291
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.939158
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.914354
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.889863
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.87233
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.857484
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.844781
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.831165
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.816866
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.804755
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.792368
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.78991
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.779112
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.779127
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.780104
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.776303
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.773019
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76853
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.768077
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.763761
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.76404
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.761005
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.761589
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.766841
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.766818
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.762689
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.768199
Stopping. Best iteration:
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.761005

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05117
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01084
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.9787
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.946094
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.918618
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.895518
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.879318
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864116
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.854886
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.847141
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.837464
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.831974
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.825115
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.823359
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.81944
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.816653
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.814308
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.810681
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.805531
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.808022
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.808173
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.810313
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.812878
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.815283
Stopping. Best iteration:
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.805531

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04853
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00747
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977734
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.947836
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.925504
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.906156
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.885399
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868187
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853332
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.838224
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.827196
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.815209
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.807541
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.798192
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.791726
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.786309
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780615
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.777105
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.769219
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.763994
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.755071
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750603
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.750132
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.742588
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.73466
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.730635
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.731557
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.727083
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.721151
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.72212
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.718706
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.717863
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.718236
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.716303
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.716847
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.715573
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.715294
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.720892
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.716471
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.711656
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.707143
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.701672
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.702612
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.702814
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.705415
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.702063
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.703987
Stopping. Best iteration:
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.701672

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02308
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.987669
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.955236
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.929567
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.909557
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.889041
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.875051
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.857099
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.850486
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.841922
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.828286
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.824376
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.81616
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.810238
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799688
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.79554
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.796892
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.79134
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.783892
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.782956
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.774207
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.774224
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.769441
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.766224
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.765703
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.76108
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.760148
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.750524
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.751095
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.753659
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.757774
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.75814
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.760795
Stopping. Best iteration:
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.750524

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06106
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02791
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.992243
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.959049
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938728
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.917539
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.897967
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.884257
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.8703
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.857669
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.851198
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.837314
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.82365
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.817507
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.80316
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787273
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.779193
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.771683
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.769127
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.761675
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.76496
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.765904
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765638
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.762557
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.763497
Stopping. Best iteration:
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.761675

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04859
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00834
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.9766
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.948351
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.926552
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908321
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.884491
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863991
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.846544
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.825147
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.816137
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.798503
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.788997
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.783859
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.776605
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.767633
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.759405
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.755749
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.751231
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.751766
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.744844
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.735345
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.731755
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.729964
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.729561
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.729826
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.728299
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.72495
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.722609
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.727568
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.721506
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.725001
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.724874
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.726325
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.726514
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.728045
Stopping. Best iteration:
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.721506

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04789
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01062
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.972524
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.935805
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.91625
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.903947
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.882398
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.864606
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.852082
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.840837
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.826482
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.818632
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.813045
[13]	validation_0-merror:0.416667	validation_0-mlogloss:0.802828
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.789409
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.785587
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.779679
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.775464
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.770281
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.767019
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.766895
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.766608
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.775103
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.772863
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.772347
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.773474
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.771324
Stopping. Best iteration:
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.766608

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05065
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01409
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.980753
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.947079
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.926417
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.909398
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.885334
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.866714
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.853053
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.847259
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.839867
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.835959
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.828489
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.827586
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.821169
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.812684
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.802406
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.796569
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.794801
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.785603
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.779985
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.778237
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.773466
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.772709
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.773863
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.776661
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.777641
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.776978
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.777934
Stopping. Best iteration:
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.772709

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04541
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.0013
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.964908
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.934807
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.90943
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.886282
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.867652
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.849829
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.835961
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.823355
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.816177
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.807649
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.801167
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.792106
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.786666
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.774716
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.767754
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.762979
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759807
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.756962
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.754257
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.750541
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745057
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.743696
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.739263
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.737907
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.732083
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.726869
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.725525
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.725421
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.727271
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.730718
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.729024
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.730743
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.729949
Stopping. Best iteration:
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.725421

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05025
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00749
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.969765
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.941421
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.916562
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.898818
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.878267
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.86224
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.846819
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.834451
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.823718
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815189
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.804254
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.798531
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.793357
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.788992
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.781571
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.779712
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.778963
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.776663
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.774057
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.772904
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.771757
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.771716
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.772392
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.769545
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.770398
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.770097
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.772705
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.771131
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.770275
Stopping. Best iteration:
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.769545

[0]	validation_0-merror:0.283333	validation_0-mlogloss:1.04665
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0071
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.973316
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.943695
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.9177
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.902202
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882321
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.865125
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.85009
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.838995
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.82926
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.824039
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.816882
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.815147
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.810264
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.807404
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.808332
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.805281
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.801663
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.803856
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.805829
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.805776
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.808855
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.80833
Stopping. Best iteration:
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.801663

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04911
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01157
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.977814
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.948691
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925945
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.906368
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886182
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.869409
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.857609
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83987
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.829848
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.819345
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.810601
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.803902
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798318
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791527
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.777297
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.773643
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767045
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.763909
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.753584
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.749741
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.744897
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.733714
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.726355
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.719891
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.7213
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.712233
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.711828
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.714174
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.714438
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.715686
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.714256
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.71467
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.711828

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06342
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02313
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990128
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.958193
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.935676
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.91608
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.895604
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.880746
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.860935
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.851908
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.842124
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.828691
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.824846
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.816596
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.808577
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802243
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.791884
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.791668
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.789836
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.784405
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.776881
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.771975
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.770822
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.767852
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.764292
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.767397
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.76115
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.759676
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.757717
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.756084
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.755985
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.756139
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.756446
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.754381
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.761387
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.765505
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.767614
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.769976
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.778622
Stopping. Best iteration:
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.754381

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.997179
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965391
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.943652
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.924236
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.907506
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.893045
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.877784
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866659
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.859102
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.848093
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.83245
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.82499
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.817222
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.806987
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.800033
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.793475
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.792691
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.789842
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.789228
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.783113
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.781744
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.774605
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.772362
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.770567
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.763587
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.762551
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.759789
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.759369
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751793
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.749419
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.751023
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.750046
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.74927
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.749068
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.749995
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.747176
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.749167
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.745133
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.741991
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.738269
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.741981
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.739637
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.737855
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.73611
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.739046
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.74095
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.740306
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.738132
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.738674
Stopping. Best iteration:
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.73611

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04891
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01042
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978708
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951454
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.931799
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.91313
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.8903
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868866
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.847935
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.831155
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.819834
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.805605
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.793244
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.785704
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.782108
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.772394
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.763382
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.760594
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.757068
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.75453
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.745003
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.738835
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.732727
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.726347
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.721147
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.721078
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.72004
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.714299
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.712834
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.715924
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.714267
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.713715
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.713264
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.71191
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.714077
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.710288
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.71389
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.710775
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.709101
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.709131
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.709681
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.708438
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.707077
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.707963
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.710308
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.710622
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.709752
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.711874
Stopping. Best iteration:
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.707077

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05157
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01591
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.981423
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.947044
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.921537
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.903831
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.886638
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.876348
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.865039
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.853282
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.836329
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.827599
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.820723
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.81138
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.796457
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.793458
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.787912
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.78164
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.777463
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.769982
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.770931
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.769551
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.774526
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.770938
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.77309
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.777293
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.775712
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.769551

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01436
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985125
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.95443
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.937296
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.922669
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.901698
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.883259
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.876664
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.869999
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.865973
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.857893
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.850168
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.84472
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.828776
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.81807
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.807796
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.80311
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.799438
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.79002
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.784252
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.781031
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.774937
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.774948
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.774254
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.772944
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.770826
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.769861
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.77287
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.774038
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.778069
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.778443
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.774954
Stopping. Best iteration:
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.769861

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05014
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0133
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.983256
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.956482
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.932624
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.91368
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.898534
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.884716
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.872342
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.861998
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852451
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.841035
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.832808
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.827212
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.821511
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.814138
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.809418
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.803656
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.799248
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.794544
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.790952
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.787319
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.783198
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.782771
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.779633
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.774207
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.772366
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.768615
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.767634
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.765213
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.763331
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.761308
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.761795
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.760458
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.760788
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.76028
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.75903
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.761482
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.75884
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.760293
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.758967
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.760164
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.763776
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.76391
Stopping. Best iteration:
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.75884

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0493
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.00969
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.974506
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.950864
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.9234
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.905212
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.885944
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869281
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.852799
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.839679
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.830193
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.826324
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.818599
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.815348
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.810432
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806565
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.80232
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.802003
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.798638
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.79505
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.796015
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.790111
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.787533
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.78534
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.781805
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.780259
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.781502
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.781016
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.778831
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.783275
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.783392
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.784541
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.787987
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.786919
Stopping. Best iteration:
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.778831

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05059
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01231
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.974831
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.952651
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.933096
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.910312
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.895118
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.879028
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.866283
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855852
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.84804
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.834578
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.828623
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.820841
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.818499
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.822046
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.823196
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.815852
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.809894
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.80793
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.804756
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.803303
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.801119
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.799194
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.794947
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.792568
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.791647
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.788428
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.788472
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.782444
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.782082
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.775762
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.773253
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.768725
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.767911
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.765129
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.765852
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.76615
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.769216
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.766453
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.771737
Stopping. Best iteration:
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.765129

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04813
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980018
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.950213
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.925624
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904816
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885702
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869619
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855528
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.837976
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.824725
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.816801
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.808629
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.797647
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.793597
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.786293
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775781
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769306
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.761783
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.755442
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748966
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.744575
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.741343
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.734208
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.726232
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.720445
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.720323
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.714285
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.711196
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.709033
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.709399
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.707705
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.70917
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.708785
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707934
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.710115
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.713005
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.707705

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06472
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02557
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.993479
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.959867
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.936457
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.91703
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.896423
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.881522
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.862467
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.853431
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.842836
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.830309
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.826137
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.817362
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.809089
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.80205
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.790312
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.786761
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.783076
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.77771
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.772962
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.764817
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.76327
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.760614
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.758229
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.762286
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.754891
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.751623
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.75057
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.747353
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.749661
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.751536
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.748193
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.746901
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.748897
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.752565
[36]	validation_0-merror:0.4	validation_0-mlogloss:0.753208
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.754637
[38]	validation_0-merror:0.4	validation_0-mlogloss:0.762425
Stopping. Best iteration:
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.746901

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06089
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999297
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970285
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.945141
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925114
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.908511
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.894312
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.878199
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.862619
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.856526
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.843916
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.828743
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.822225
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.8102
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.801372
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.794555
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.785417
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.785101
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.777503
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.77713
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.773207
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767143
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.760301
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.75563
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.752391
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.749943
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.74842
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.745236
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.742676
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.739497
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.737564
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.736347
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.734216
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.731196
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.731766
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.735905
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.732356
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.735569
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.732293
Stopping. Best iteration:
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.731196

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05083
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01259
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.979138
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.950866
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.928139
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906804
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.88449
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.86616
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.846423
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829971
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.817639
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.804522
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.794603
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.787243
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.780866
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.769702
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.761635
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.7605
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.752951
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.750319
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.741676
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.739845
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.733613
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.725743
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.72178
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.718768
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.716716
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.712547
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.709257
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.709168
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.706983
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.705847
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.704941
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70678
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.706968
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.705085
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.70419
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.70861
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.70615
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.704418
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.704828
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.703808
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.701346
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.700941
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.703931
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.701579
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.701446
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.702661
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.703029
Stopping. Best iteration:
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.700941

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05653
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01951
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984397
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.953788
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.930788
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.914746
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.899766
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.888898
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.876851
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.861386
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.847849
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.840007
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.831393
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.82198
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.814526
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.810371
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.803497
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.796845
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.790139
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.787124
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.785787
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.780292
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.781966
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.776749
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.778089
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.779684
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.771768
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.769831
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.77183
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.772561
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.772268
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.772562
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.774144
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.769831

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994168
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.9616
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.939901
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.92368
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.90348
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885852
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875063
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.867492
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.85298
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.843626
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.832658
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.827671
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.819471
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.814867
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.811693
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.808987
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.8037
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.79
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.787315
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.788292
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.781994
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.77641
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.777675
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.778229
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.772706
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.771505
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.774441
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.771279
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.770089
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.766873
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.764292
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.762754
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.761561
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.76498
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.765435
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.768553
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.766406
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.767547
Stopping. Best iteration:
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.761561

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04922
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0094
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976195
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.949984
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.926895
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.908808
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.890474
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.876851
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.863943
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.851946
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.842725
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.832426
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.821341
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.813316
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.803373
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.794421
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.786725
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.785248
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.782616
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.781162
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.779932
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.77772
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.772214
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.76744
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.765569
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.760588
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.757808
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.753743
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.747356
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.745125
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.745138
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.740416
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.738363
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.7383
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.74023
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.741288
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.740581
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.742528
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.740187
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.7383

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04768
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00777
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.974468
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.946731
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.922626
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.900372
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.880581
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.86368
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.84858
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.83758
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.831091
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.819876
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.815055
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.81161
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.805202
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799387
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.792132
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.785607
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.784343
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.779798
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.777373
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.775602
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.775509
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.774899
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.770939
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.770601
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.767107
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.768662
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.768873
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.770318
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.772811
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.775838
Stopping. Best iteration:
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.767107

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0529
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978067
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957385
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.931194
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.908606
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.890932
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.878532
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864788
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.857584
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.844756
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839085
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.832056
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.823518
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.821161
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.82042
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.816164
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.814642
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.812013
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.807397
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.809855
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.807941
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.801867
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.798814
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.79467
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.795117
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.793086
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.791937
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.788345
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.784145
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.781864
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.783112
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.783899
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.78128
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.778896
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.779199
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.777245
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.776003
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.774101
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.772467
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.771301
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.769494
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.76913
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.76864
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.767885
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.769557
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.770657
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.772398
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.772561
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.773818
Stopping. Best iteration:
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.767885

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05692
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01215
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.98075
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.957115
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.929859
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.905851
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.888176
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873387
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.854842
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.838351
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.825383
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818343
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.809114
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.800187
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.796101
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.783523
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774648
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.768477
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759393
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.75312
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743264
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.736893
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.729102
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.719469
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.708926
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.701822
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.701675
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.696663
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.696811
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.693123
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.688304
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.689149
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.684381
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.685186
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.68133
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.678311
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.678331
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.67878
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.675015
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.671845
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.669329
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.663723
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.664467
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.662241
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.660093
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.656495
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.65519
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.65681
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.654366
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.654751
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.655653
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.651478
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.648288
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.649262
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.652141
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.653231
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.654277
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.647026
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.649518
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.647885
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.65049
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.650453
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.652522
Stopping. Best iteration:
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.647026

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06367
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02924
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.998867
[3]	validation_0-merror:0.45	validation_0-mlogloss:0.968215
[4]	validation_0-merror:0.45	validation_0-mlogloss:0.946872
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.927865
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.907934
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.892604
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.880674
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.870436
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.859464
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.84625
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.840151
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.830857
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.816999
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.810504
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.802098
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.79624
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.787716
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.778166
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.772927
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.764104
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.763044
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.759024
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.755973
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.761986
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.754795
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.750732
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.749809
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.74242
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.741958
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.737385
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.732051
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.731794
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.725309
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.727419
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.726778
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.726563
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.734841
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.735561
Stopping. Best iteration:
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.725309

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05829
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02765
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996339
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.965721
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.939109
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918662
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896109
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.880849
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864545
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847237
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834271
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.822873
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.807569
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801118
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.785143
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.768871
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.75938
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.74955
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.750431
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.739634
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.738191
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.732853
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.728853
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.723921
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.722357
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.72415
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.716383
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71087
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.703113
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.694593
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.689451
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.68858
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.685367
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.68187
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.680133
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.679213
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.677987
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.675326
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.673909
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.668847
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.668372
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.662258
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.662003
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.659683
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.658672
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.653564
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.653557
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.653066
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.651503
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.651797
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.656215
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.657541
[52]	validation_0-merror:0.25	validation_0-mlogloss:0.654522
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.651517
Stopping. Best iteration:
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.651503

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05637
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.02647
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992161
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962494
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.94413
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.921344
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.901077
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.882455
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.865987
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.846305
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.835279
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.818134
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.803937
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.794254
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.787522
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.777202
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.769518
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.764631
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.7581
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753806
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.745183
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.738167
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.727273
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.719809
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.713421
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.709781
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.706206
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.70193
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.696901
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.696183
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.690759
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.687328
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.686636
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.686358
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.684292
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.680383
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.680211
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.679248
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.676703
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.674226
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.671149
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.667309
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.666099
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.665564
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.660601
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.657992
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.660141
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.660985
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.660841
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.662777
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.664099
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.657992

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02448
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994924
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.960939
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.941183
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.925108
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.907552
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.896485
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.88438
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.873334
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.860382
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.851408
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.8405
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.829363
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.816939
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806767
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.798822
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.794398
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.786158
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.778936
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.773135
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.765788
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.768603
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.766761
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.764597
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.763263
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.757073
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.752893
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.754343
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.752283
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.750954
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.750776
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.748013
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.746414
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.743148
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.738242
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.736003
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.733307
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.73664
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.731382
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.731966
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.733004
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.734455
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.728087
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.730862
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.731554
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.732236
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.733114
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.736586
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.728087

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02872
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00355
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.976736
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.953341
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936879
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.91662
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.901942
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.886389
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.875851
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.869907
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.86255
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.846275
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.830407
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.815914
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.810539
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.802893
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.793209
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.786104
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.771629
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.76559
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.762908
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.760202
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.751333
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.746916
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.742558
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.736586
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.73163
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.729952
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.727385
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.723876
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.72135
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.718623
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.716094
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.713895
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.712712
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.706058
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.702776
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.699301
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.699283
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.697936
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.694498
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.694953
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.691752
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.690759
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.688838
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.689425
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.689667
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.690963
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.690294
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.686061
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.684748
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.68395
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.68365
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.683075
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.679979
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.677096
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.679224
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.682733
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.680019
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.678836
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.681351
Stopping. Best iteration:
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.677096

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05319
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01661
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.98389
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957102
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.933361
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.911513
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894458
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.875597
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.860516
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845637
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.829378
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.820117
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809333
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.797202
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.790178
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781609
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774166
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.768058
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759536
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.753279
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.745298
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.741313
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.73474
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.729869
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.730926
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.726765
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722875
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.72224
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.716456
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712324
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.707787
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.703209
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.701821
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.698117
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.694443
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.694261
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.691714
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.68746
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.683554
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.683267
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.683492
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.681587
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.682911
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.681791
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.680038
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.681585
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.682517
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.684728
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.684018
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.684835
Stopping. Best iteration:
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.680038

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05547
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01987
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990724
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.963656
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941415
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923077
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.907852
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.892961
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.878687
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.868637
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.854829
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.842842
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.83503
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.825436
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.819627
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.809435
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.801614
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792741
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.7928
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.787746
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.782828
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.776984
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.773407
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.770456
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.767431
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.763838
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.756227
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.75178
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.748989
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.74647
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.74224
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.740189
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.736037
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.731566
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.728776
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.727354
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.724038
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.721929
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.721823
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.719591
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.719946
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.719262
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.717498
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.718157
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.719328
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.717529
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.716041
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.714319
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.713434
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.713208
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.711666
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.710018
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.709432
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.708505
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.707427
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.708658
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.707738
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.70808
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.706769
[59]	validation_0-merror:0.333333	validation_0-mlogloss:0.706968
[60]	validation_0-merror:0.333333	validation_0-mlogloss:0.708591
[61]	validation_0-merror:0.333333	validation_0-mlogloss:0.707696
[62]	validation_0-merror:0.333333	validation_0-mlogloss:0.707573
[63]	validation_0-merror:0.333333	validation_0-mlogloss:0.708077
Stopping. Best iteration:
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.706769

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05916
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02611
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994486
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.973997
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950669
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935467
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.918517
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901938
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.890942
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.878065
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.865067
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.8564
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.846713
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.839065
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.832761
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.819538
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.813601
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.806633
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.797196
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.792266
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.783326
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.780706
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.774413
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.77261
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.769116
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.765775
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.763464
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.758327
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.75391
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.748226
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.74693
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.743617
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.740483
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.738451
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.734002
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.731865
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.726533
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.722681
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.719912
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.716573
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.71453
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.713273
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.709358
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.706643
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.705896
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.704493
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.703768
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.699454
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.696421
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.695243
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.693727
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.69218
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.690546
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.689929
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.689589
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.686808
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.685998
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.68354
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.683142
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.680283
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.679155
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.679212
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.679036
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.677627
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.677984
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.674838
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.673503
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.673549
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.673081
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.672746
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.672723
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.672991
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.672769
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.670048
[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.667758
[75]	validation_0-merror:0.266667	validation_0-mlogloss:0.668514
[76]	validation_0-merror:0.266667	validation_0-mlogloss:0.666152
[77]	validation_0-merror:0.266667	validation_0-mlogloss:0.666564
[78]	validation_0-merror:0.266667	validation_0-mlogloss:0.667724
[79]	validation_0-merror:0.266667	validation_0-mlogloss:0.66833
[80]	validation_0-merror:0.266667	validation_0-mlogloss:0.666967
[81]	validation_0-merror:0.266667	validation_0-mlogloss:0.666168
Stopping. Best iteration:
[76]	validation_0-merror:0.266667	validation_0-mlogloss:0.666152

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05469
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01474
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.983393
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.959914
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.936107
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.913957
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.893557
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.877937
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.860006
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.838192
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826561
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.821562
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.811749
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.803915
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798889
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78568
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774391
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767423
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.758294
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.751977
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.74315
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.7364
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.73135
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.722905
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.713394
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.705596
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.705083
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.697506
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.693404
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.688204
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.682067
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.683431
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.681909
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.682515
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.678864
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.675834
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.675963
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.677072
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.675313
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.675328
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.672816
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.667798
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.665106
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.665414
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.660543
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.657811
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.656979
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.65635
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.655825
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.656658
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.658644
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.657335
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.654137
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.656753
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.661192
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.663779
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.665208
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.656982
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.654137

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06367
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.483333	validation_0-mlogloss:1.02837
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.997974
[3]	validation_0-merror:0.45	validation_0-mlogloss:0.967403
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.944045
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.92508
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.90623
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.891002
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.87897
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.866889
[10]	validation_0-merror:0.433333	validation_0-mlogloss:0.85519
[11]	validation_0-merror:0.433333	validation_0-mlogloss:0.842911
[12]	validation_0-merror:0.433333	validation_0-mlogloss:0.837091
[13]	validation_0-merror:0.433333	validation_0-mlogloss:0.829209
[14]	validation_0-merror:0.416667	validation_0-mlogloss:0.81677
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.811127
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.804683
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.795114
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.786997
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.777286
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.772634
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.763998
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.761021
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.755957
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.752442
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.756491
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.749126
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.74738
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.741312
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.733454
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.732614
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.729733
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.725995
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.723812
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.717484
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.721375
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.721658
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.720981
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.729151
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.730435
Stopping. Best iteration:
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.717484

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05829
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02834
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.997193
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.968909
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941446
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.9212
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.896138
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883301
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.866173
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.852757
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.840416
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.827612
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.812442
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.807327
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.79176
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.778411
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.76836
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.756096
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.751742
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.742575
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.739662
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.74055
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736928
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.730664
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.728729
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.731572
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.721724
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.715733
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.708307
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.701156
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.697045
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.695986
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.692761
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.690291
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.689789
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.689219
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.688305
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.688002
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.688806
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.684595
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.681818
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.677334
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.677969
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.673572
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.673173
[45]	validation_0-merror:0.25	validation_0-mlogloss:0.667719
[46]	validation_0-merror:0.25	validation_0-mlogloss:0.667379
[47]	validation_0-merror:0.25	validation_0-mlogloss:0.666449
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.664558
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.666026
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.67036
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.671899
[52]	validation_0-merror:0.25	validation_0-mlogloss:0.670546
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.668239
Stopping. Best iteration:
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.664558

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05637
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02126
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987607
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957727
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938391
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915381
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.89566
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.877049
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.862081
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.844777
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.833446
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815798
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80223
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.791698
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.783859
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.773604
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.766649
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763302
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.753992
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.748354
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.741825
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.732602
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.72137
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.715706
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.708249
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.70504
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.701975
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.697202
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.690664
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.689734
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.684572
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.683788
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.679564
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.679379
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.677214
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.671562
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.671788
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.668918
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.665225
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.662564
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.662443
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.6587
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.656768
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.656312
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.652264
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.651709
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.653617
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.651831
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.653809
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.652656
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.651035
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.654859
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.649565
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.653481
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.655075
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.65451
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.653339
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.650875
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.649565

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05546
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02395
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.992694
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959635
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.939869
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.922923
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.901291
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.890537
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879516
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.865606
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852578
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.840965
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.829966
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.820024
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.809458
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.801079
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.796013
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.791495
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785121
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.778864
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.770789
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.76348
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.763535
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.76156
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.759288
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.758989
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.753005
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.748825
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.748786
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.747033
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746068
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.744289
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.741794
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.739141
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.736612
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.733932
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.731442
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.726866
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.730994
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.726674
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.727469
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.72919
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.728371
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.722817
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.726025
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.72612
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.727583
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.727963
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.729321
Stopping. Best iteration:
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.722817

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03007
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00499
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.975868
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952913
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936704
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.914921
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900157
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.884397
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.874682
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.868935
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.86326
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.850515
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.834704
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.818084
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.806517
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.801148
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.791659
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.784711
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.771834
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.766585
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.76307
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.759516
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.751566
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.744931
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.743256
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.737476
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.732502
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.731014
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.727643
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.720823
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.718108
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.715237
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.712514
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.709507
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.711152
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.704846
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.701407
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.699742
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.699888
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.697704
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.695041
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.696526
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.695927
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.695999
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.69325
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.69374
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.693235
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.691176
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.690006
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.686959
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.685797
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.685086
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.684274
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.683813
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.681047
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.679572
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.683636
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.684687
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.682705
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.682784
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.684946
Stopping. Best iteration:
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.679572

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05463
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01756
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.986296
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.958132
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.934568
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915419
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897506
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.876489
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.865152
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.848719
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.838916
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829314
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.820507
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.81147
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799488
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787961
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.781379
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773113
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.768718
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.762154
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.756477
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.754098
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.748429
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.740165
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.736057
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.735847
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.732936
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.72871
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.725208
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722497
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.719442
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.718875
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.711445
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.709342
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.708171
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.708516
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.703281
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.697913
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.695253
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.696565
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.69499
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.693042
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.696542
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.693316
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.692087
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.691815
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.695798
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.695451
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.694328
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.696527
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.693805
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.691815

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01855
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989064
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961772
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.940064
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.919515
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.903489
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.88863
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.873529
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.863457
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.848874
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839976
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.828067
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.821968
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.810682
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.80288
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.797696
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.792869
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785622
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77898
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.77624
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.770838
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.764534
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.76356
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.760899
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.754815
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.7523
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.747141
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.742819
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.73932
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.735822
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.733317
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.729638
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.726159
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.72384
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.720004
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.720193
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.717212
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.715343
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.713669
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.714185
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.71315
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.712198
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.710396
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.709818
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.708129
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.710077
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.712982
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.71218
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.711834
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.713795
Stopping. Best iteration:
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.708129

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05873
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02659
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994819
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975766
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950898
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935575
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.917964
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.907377
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.890409
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.877987
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.870411
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.857516
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.844253
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.837144
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.827991
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.82159
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.810362
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.803308
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.798675
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.793427
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.784638
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.781167
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.776585
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.774226
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.768252
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.766293
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.761933
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.757659
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.75294
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.749282
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.74514
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.741847
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.73883
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.735032
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.73258
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.728351
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.726774
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.72319
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.719074
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.717892
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.71492
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.71108
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.710095
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.70808
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.705157
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.703949
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.702836
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.702814
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.700831
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.701679
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.700459
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.698914
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.699069
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.696287
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.697281
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.695854
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.693464
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.693319
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.693409
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.690115
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.691203
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.688948
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.691104
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.690666
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.690656
[65]	validation_0-merror:0.316667	validation_0-mlogloss:0.690862
[66]	validation_0-merror:0.316667	validation_0-mlogloss:0.691063
Stopping. Best iteration:
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.688948

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05454
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01463
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.9822
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.955615
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.932265
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.913597
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.896397
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.881068
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.8641
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845669
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.832867
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.824068
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.814434
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.804058
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.800582
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787778
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.77493
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.765293
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757207
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.751751
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.742896
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.735817
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.730615
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.719258
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.710818
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.703617
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.703998
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.699968
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.696262
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69347
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.688947
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.685622
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.681801
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.683832
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.683445
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.680227
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.681845
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.68299
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.680497
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.674715
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.663302
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.6561
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.655375
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.655699
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.65168
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.649609
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.649501
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.648582
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.647463
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.644854
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.646868
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.646747
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.645962
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.649418
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.653581
Stopping. Best iteration:
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.644854

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06395
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02917
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999033
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.970131
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.94552
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.925685
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.905737
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.890792
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.872098
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.858198
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.846359
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.833958
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.828905
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.819381
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.806728
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.802865
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.795948
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.786078
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.780869
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.773345
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.768268
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.760005
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.75859
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.754255
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.750925
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.748057
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.74099
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.737867
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.731646
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.727987
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.731501
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.732213
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.727435
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.726465
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.721125
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.725448
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.727171
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.724307
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.731957
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.732246
Stopping. Best iteration:
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.721125

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06211
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03224
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.999256
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971762
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.947726
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.927219
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905294
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.890735
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.874335
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.861712
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.85112
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.837983
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823167
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.816486
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.801626
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.788295
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.780996
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768617
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.765575
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759379
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.75587
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.756225
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754267
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.749588
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.746735
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.749912
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.742752
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.735752
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.729581
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.723994
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.718951
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.714912
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714301
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.714231
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.714255
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.714502
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.713904
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.711751
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.713331
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.710541
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.708583
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.704637
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.708552
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.704288
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.705296
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.698369
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.698902
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.69886
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.694256
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.691029
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.69466
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.697185
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.696924
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.693729
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.692885
Stopping. Best iteration:
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.691029

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05637
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02247
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990685
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.964255
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.94683
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.926591
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.907472
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.890389
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.87301
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855407
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.843064
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.827681
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.813753
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.80337
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.796652
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787573
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.777559
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.771922
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.756458
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.750383
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.745062
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.735995
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.724968
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.717622
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.709546
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.709711
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.706533
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.702362
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.696335
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.695132
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.689735
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.688959
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.68786
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.688669
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.688549
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.682944
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.685228
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.682166
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.67889
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.675608
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.672447
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.668863
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.666589
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.666604
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.661561
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.658749
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.660602
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.657844
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.658654
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.656864
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.655074
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.657891
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.654391
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.652297
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.654017
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.653765
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.654772
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.650044
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.645389
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.64418
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.646474
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.647853
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.649188
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.64661
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.643758
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.642712
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.642853
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.64319
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.643164
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.642009
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.642979
[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.645082
[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.64626
[73]	validation_0-merror:0.283333	validation_0-mlogloss:0.64462
[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.644408
Stopping. Best iteration:
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.642009

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05632
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02314
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.991425
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959874
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.940012
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.922646
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.905612
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.895138
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.884125
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.870054
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.858342
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.845311
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.834198
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.821166
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.809576
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.800493
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.790152
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.782448
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.775835
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.76969
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.761645
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.753661
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.752697
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.747989
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.745028
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.743493
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.735316
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.731823
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.729554
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.7278
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.727023
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.725861
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.724071
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.721386
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.720829
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.719384
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.716039
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.71593
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.719508
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.718315
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.719171
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.720696
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.72056
Stopping. Best iteration:
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.71593

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03007
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00499
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.977306
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.954358
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936847
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.91666
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.902012
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.888644
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.881385
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.877146
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.871611
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.85782
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.844555
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.827372
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.816203
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.808112
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.802872
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.795601
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.784212
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.779513
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.777215
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.773301
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.764957
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.760102
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756207
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.751456
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.747197
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.742324
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.739444
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.734111
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.730517
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.729287
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.726329
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.721863
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.72214
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.716196
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.712915
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.710932
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.709461
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.706991
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.704145
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.70602
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.704993
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.705943
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.69925
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.699406
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.698876
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.697646
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.697625
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.694245
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.692152
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.691992
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.690707
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.690693
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.693962
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.696
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.698982
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.700057
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.698259
Stopping. Best iteration:
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.690693

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05578
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01882
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.985716
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959843
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.937741
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.917387
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.897914
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.882293
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.86719
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.853065
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842513
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.828249
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.813641
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.804478
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.792855
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.78119
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.775523
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.767473
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759157
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.74844
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.74314
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.739784
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.731444
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.7259
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723112
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.716071
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.712209
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712061
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.703815
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.701861
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.701958
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.701422
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.691693
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.692156
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.689629
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.690179
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.687089
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.686356
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.684751
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.682882
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.685097
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.683446
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.684171
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.685689
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.68328
Stopping. Best iteration:
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.682882

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05476
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01796
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987693
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962718
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.937965
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.921826
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.904217
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.891091
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.874965
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.861528
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.848994
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839101
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.829631
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.819943
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.80767
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.798418
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.794697
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.788155
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.780741
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773895
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767912
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.763352
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.759919
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.756068
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.750801
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.745612
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.744983
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.739673
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.733603
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.730916
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.729663
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.726421
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.724176
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.722335
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.720087
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.71882
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.718697
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.716982
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.715117
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.713334
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.716608
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.714578
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.713857
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.714228
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.714129
Stopping. Best iteration:
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.713334

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02412
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.995513
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.97594
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.947806
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.928278
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.919282
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897538
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.889656
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.877901
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.866785
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.859452
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.849925
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.837891
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.830366
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818243
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.811189
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800721
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79639
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.790447
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.788132
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.783831
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.78267
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.777406
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.770662
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.766996
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.764135
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.758256
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.757225
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.75631
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.754438
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.751267
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.750464
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.7483
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.742434
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.73947
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.733606
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.733267
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.732009
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.727557
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.724329
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.722647
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.719515
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.717885
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.714965
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.713025
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.710862
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.71086
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.709622
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.707854
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.708079
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.707339
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.705257
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.70433
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.70349
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.702937
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.700351
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.701056
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.700039
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.6979
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.697173
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.697765
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.701589
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.702375
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.700004
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.700673
Stopping. Best iteration:
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.697173

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05697
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01918
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.983916
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.957638
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.932588
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.913455
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.896052
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.880433
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.865129
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.848566
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.835777
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.823856
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.813594
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.803001
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.798438
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.785977
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.772434
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765366
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.755479
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.748209
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.738408
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.73186
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.726749
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.716158
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.707307
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.701108
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70019
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.69415
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.691339
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.688589
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.686059
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.686209
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.683483
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.686014
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.688311
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.691315
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.693491
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.691525
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.683483

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.03271
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00122
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.969375
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.947148
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.92627
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.908422
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.89273
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.875141
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.864244
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.851842
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.838699
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.833676
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.824658
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.812285
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.806687
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.79742
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.791277
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.78641
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.779511
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.774884
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.767139
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.764609
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.759753
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.756571
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.756126
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.746434
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.742908
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.737979
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.729989
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.730233
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.731406
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.726945
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.724133
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.725064
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.729106
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.728799
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.726119
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.733868
Stopping. Best iteration:
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.724133

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06181
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03349
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.00053
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.974457
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.950017
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.929535
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.913139
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.896725
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.879032
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.863533
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.851841
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839799
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.822696
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.815169
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.807885
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.796183
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.790103
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.780827
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.780182
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.775239
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.774209
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.773907
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.771093
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.767254
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.764049
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.761887
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.754195
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.751918
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.743103
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.737595
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.736821
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.732426
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.731322
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.729053
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.728805
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.726392
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.725807
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.722135
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.71865
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.713909
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.712451
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.706422
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.70966
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.705095
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.703972
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.697413
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.697562
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.698579
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.698061
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.696413
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.700015
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.701999
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.703868
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.700877
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.704247
Stopping. Best iteration:
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.696413

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05637
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02384
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.991841
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.966058
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.948646
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.930454
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.911384
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.894372
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.879628
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863447
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.850231
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.833465
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.818049
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.809735
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.802658
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.791885
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.782573
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.775919
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.765827
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.75942
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.752275
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.745734
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.735494
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.729596
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.72097
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.721952
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.719517
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.717869
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.713293
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.712394
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.704726
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.704776
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700749
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.69747
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.695575
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.692131
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.691416
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.689023
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.687267
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.686032
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.685575
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.681119
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.677934
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.676276
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.676691
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676854
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.677958
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.6757
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.674154
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.674177
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.671221
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.674192
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.673469
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.672616
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.669838
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.670851
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.672703
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.670217
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.667392
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.66374
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.664614
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.665644
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.667452
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.66733
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.665972
Stopping. Best iteration:
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.66374

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05493
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02386
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.991762
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.960148
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.939114
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.920154
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.903413
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.891289
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.880498
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.867067
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.854143
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.843061
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.833521
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.819476
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.811648
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.80205
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.792599
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.785997
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.781296
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.773852
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.766303
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.76128
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.760524
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.755214
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.751785
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.750937
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.742607
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.738087
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.733256
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.731392
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.730677
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.72856
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.725352
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.723289
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.722323
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.723159
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.720699
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.722383
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.725066
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.722074
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.722298
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.724356
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.720699

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03007
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00499
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.977399
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957182
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.940845
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.920532
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.906043
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.891886
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.88456
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.869279
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.863679
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.849694
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.839241
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.823233
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.815998
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.809228
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.803373
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.795972
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.784036
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.779174
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.775863
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.772202
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.766039
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.762211
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.757316
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.754767
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.749763
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.747393
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.743935
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.742587
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.740473
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.737551
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.73686
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.732993
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.733066
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.728333
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.724919
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.722936
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.724275
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.721631
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.719156
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.721015
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.7176
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.719136
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.718345
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.721236
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.720518
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.718187
Stopping. Best iteration:
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.7176

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05912
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02403
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.995271
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.968259
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.948169
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.92899
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.911982
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.898171
[8]	validation_0-merror:0.433333	validation_0-mlogloss:0.886244
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.873287
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.859437
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.850398
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.834789
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.823533
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.814723
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.803935
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.796539
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.78672
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.779657
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.769546
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.764554
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.758892
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754619
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.749056
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.747109
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.742895
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.737316
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.738705
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.739922
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.73757
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.736299
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.73708
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.73565
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.734738
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.728741
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.730692
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.728619
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.727762
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.724267
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.721825
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.71826
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.718992
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.719313
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.718798
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.716239
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.712614
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.710926
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.708359
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.709362
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.711985
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.710323
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.712937
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.709187
Stopping. Best iteration:
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.708359

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05601
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02212
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992362
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969757
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.945534
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.927752
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.910943
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.895952
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.880061
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.866206
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.853044
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.843404
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.835992
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.822886
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810569
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802698
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.797421
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.789842
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.782247
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.776835
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.774668
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.768519
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.764985
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.760232
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.755599
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.751559
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.748608
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.744534
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.739378
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.737797
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.73706
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.735227
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.732103
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.730115
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.728809
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.72691
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.729454
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.726831
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.725748
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.724356
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.725005
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.724658
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.725149
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.726075
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.724968
Stopping. Best iteration:
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.724356

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02412
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.994563
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975064
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.948229
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.931659
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.916934
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900914
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.890337
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.882763
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.86947
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.864794
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.854751
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.845178
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.836971
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.829775
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.822792
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.820153
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.813469
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.807123
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.802133
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.798147
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.793569
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.787742
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.783745
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.779265
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.774073
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.767268
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.763512
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.762569
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.755765
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.752968
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.750914
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.744984
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.742919
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.739444
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.737868
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.733592
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.733538
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.727928
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.727318
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.724796
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.7256
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.720044
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.720867
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.71748
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.715706
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.715212
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.713944
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.710792
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.71215
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.712917
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.711708
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.709136
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.708612
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.706591
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.705346
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.703422
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.703091
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.701584
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.702724
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.701569
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.701302
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.699243
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.698638
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.70094
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.69925
[67]	validation_0-merror:0.25	validation_0-mlogloss:0.70019
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.700237
[69]	validation_0-merror:0.25	validation_0-mlogloss:0.699311
Stopping. Best iteration:
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.698638

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05516
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02058
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.986902
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.960218
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.934936
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914933
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.89744
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.881877
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.865274
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.848337
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.835108
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.824275
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.813079
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.802621
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.798121
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.785281
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.776093
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.767385
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.756456
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.749131
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.739838
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.736462
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.732023
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.722516
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.713097
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.703212
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.702032
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.69467
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.688306
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.685662
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.682079
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.67972
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.677876
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.677637
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.680246
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.683823
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.685798
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.68452
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.68362
Stopping. Best iteration:
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.677637

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06603
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.03256
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00455
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.972295
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.950387
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.931351
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.912093
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.897243
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.877088
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.867331
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.85591
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.840663
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.835757
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.82431
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811725
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806719
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.79735
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.787928
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.782852
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.774877
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.769053
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.760257
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.759041
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.75582
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.751983
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.756627
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.746362
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.7433
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.74195
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.732594
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.734154
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.733627
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.72786
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.72595
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.725991
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.729763
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.729212
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.72858
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.735185
Stopping. Best iteration:
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.72595

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06317
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03297
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00295
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975749
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.951455
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.930104
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.910916
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.894342
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.876183
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.859495
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.851135
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839725
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823927
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.816721
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.809573
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.797911
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.792
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.78287
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.784334
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.777288
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.77646
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.772308
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.768746
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.76416
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.761965
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.758729
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.750064
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.746379
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.738408
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.733142
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.726564
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.722315
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.721407
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.720842
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.721546
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.721178
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.721087
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.719185
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.719915
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.716274
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.713264
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.707832
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.708123
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.705899
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.704739
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.701747
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.703217
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.705689
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.704455
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.702812
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.706971
Stopping. Best iteration:
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.701747

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05629
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.023
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.98929
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.96207
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939889
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.921416
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.902364
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.882844
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.869826
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.851612
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.84095
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824638
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.810155
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.803558
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.796079
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.783966
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775313
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.770624
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.760312
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753601
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746691
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740721
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.731753
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727031
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.722804
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.717951
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.716552
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.713001
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.708711
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707651
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703054
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703173
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700878
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.698264
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.696448
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.692759
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.694707
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.695294
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.692719
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.690558
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.692287
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.688065
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.685361
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.684741
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.684266
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.68214
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.681416
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.680406
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.683467
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.68241
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.679147
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.682033
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.680178
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.67922
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.67959
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.678892
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.679163
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.677356
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.675418
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.671537
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.671776
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.671982
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.671383
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.670945
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.669749
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.667197
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.666738
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.666992
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.668405
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.667842
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.669696
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.670651
Stopping. Best iteration:
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.666738

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05817
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02689
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994916
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.964102
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.942405
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.922801
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.907278
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.894255
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.878613
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.86426
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852778
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.841924
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.832424
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.81844
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.809892
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.801776
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.79046
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.784227
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.779239
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77187
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.764301
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.75926
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.761322
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.755857
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.752025
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.751532
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.745444
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.740647
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.736365
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.734385
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.73309
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.730703
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.727423
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.726746
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.725964
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.727306
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.724436
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.726249
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.729504
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.727017
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.726564
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.72739
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.724436

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0602
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02954
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00448
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976907
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955616
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.939203
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.917829
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.903387
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.890208
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.882502
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.880635
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.875191
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.86135
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.851909
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.838467
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.832372
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.822843
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.81656
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.812409
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.80522
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.80147
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.796682
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.794253
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.790197
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.786254
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.781906
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.777984
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.778654
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.772839
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.771083
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.771125
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.768772
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.767357
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.762038
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.75838
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.759909
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.760693
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.757315
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.754722
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.754129
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.750894
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.74853
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.747194
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.745766
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.744668
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.744184
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.742791
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.740883
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.739951
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.739173
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.735879
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.735987
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.738088
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.736194
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.736548
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.736547
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.735879

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05908
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02634
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.99714
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.971102
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.951412
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.932375
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.915287
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.901194
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.887454
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.875624
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.865081
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.854588
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.845945
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.830317
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.816882
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.812255
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.799933
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.789782
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.782704
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.775686
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.770174
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.768024
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.7648
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.76347
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.760003
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.757765
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.75516
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.754506
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.751052
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.752167
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.752947
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.750255
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.748077
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.744116
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.743357
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.742657
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.740361
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.738186
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.735577
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.733818
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.732151
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.732078
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.732202
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.729409
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.728655
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.724539
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.722358
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.72154
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.718136
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.717183
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.717179
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.714457
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.712363
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.709895
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.708792
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.709057
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.708343
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.707043
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.707077
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.704754
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.70433
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.706501
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.70461
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.704739
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.705071
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.703563
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.701879
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.702727
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.701923
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.701242
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.701545
[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.699947
[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.698966
[73]	validation_0-merror:0.283333	validation_0-mlogloss:0.699149
[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.698947
[75]	validation_0-merror:0.266667	validation_0-mlogloss:0.698695
[76]	validation_0-merror:0.266667	validation_0-mlogloss:0.698818
[77]	validation_0-merror:0.266667	validation_0-mlogloss:0.698318
[78]	validation_0-merror:0.266667	validation_0-mlogloss:0.698619
[79]	validation_0-merror:0.266667	validation_0-mlogloss:0.697973
[80]	validation_0-merror:0.266667	validation_0-mlogloss:0.699222
[81]	validation_0-merror:0.283333	validation_0-mlogloss:0.698488
[82]	validation_0-merror:0.283333	validation_0-mlogloss:0.699161
[83]	validation_0-merror:0.283333	validation_0-mlogloss:0.698893
[84]	validation_0-merror:0.266667	validation_0-mlogloss:0.700511
Stopping. Best iteration:
[79]	validation_0-merror:0.266667	validation_0-mlogloss:0.697973

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05513
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01983
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990578
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.966793
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941737
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923955
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.908105
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.891338
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.877306
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863576
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.851224
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.840962
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.831201
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.823243
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.814924
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.805401
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.800058
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.794395
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.785535
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.778818
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.772666
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.769354
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.762752
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.756865
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.754129
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.750084
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.745664
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.741236
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.737528
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.733634
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.734571
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.73174
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.726697
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.725416
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.726521
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.723888
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.722581
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.718753
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.716639
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.716552
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.716198
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.716936
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.717268
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.716627
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.719041
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.72019
Stopping. Best iteration:
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.716198

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02412
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.994563
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975064
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.948388
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.930354
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.915711
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900306
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.889916
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.881541
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.871675
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.866593
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.857014
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.852316
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.842586
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.838785
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.832853
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.82783
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.827189
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.823465
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.819696
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.816736
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.810387
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.805869
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.796443
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.794538
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.788974
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.787945
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.784346
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.781596
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.780661
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.777086
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.773387
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.771161
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.772036
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.765094
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.760797
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.757443
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.753989
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.752838
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.748943
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.748621
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.746987
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.745179
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.743343
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.74067
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.738265
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.736483
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.735213
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.735858
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.732478
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.731688
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.729835
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.726555
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.728611
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.726898
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.725603
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.726103
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.724178
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.727895
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.728199
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.727552
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.725481
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.72557
Stopping. Best iteration:
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.724178

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04886
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0079
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.975651
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.948332
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.921563
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.898326
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.879937
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.862935
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.84152
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.824751
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.815289
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.805967
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.79873
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.792309
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.785492
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.77626
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.767725
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.761785
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.752259
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.745136
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.737838
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.73729
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.732573
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.726024
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.715606
[25]	validation_0-merror:0.216667	validation_0-mlogloss:0.710963
[26]	validation_0-merror:0.233333	validation_0-mlogloss:0.711525
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.705119
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.706603
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.706765
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.70619
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.707429
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.713697
Stopping. Best iteration:
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.705119

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05825
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01619
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976542
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.945665
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.923792
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.903404
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.883936
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.862835
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.84862
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.842345
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.834047
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.827358
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.828121
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.81699
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.802435
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.790096
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.782526
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.784113
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.776377
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.767964
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.767211
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.761812
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.764301
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.758386
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.75553
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.759457
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.756108
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.755112
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.759915
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.759837
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.757651
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.759696
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.75827
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.755112

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.04944
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01407
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.985336
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.951558
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.920594
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.898634
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.880076
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864648
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.851967
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.833619
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.832315
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.82362
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.804732
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.802656
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789178
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.774477
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.769709
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.75529
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.759481
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.756938
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.757331
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.755311
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.752789
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.751232
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.750182
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.749601
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.751925
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.743496
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.738434
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.736803
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.739174
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.738825
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.735543
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.734081
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.732407
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.734046
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.73684
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.730219
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.728994
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.732193
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.730221
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.73351
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.738913
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.736681
Stopping. Best iteration:
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.728994

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0477
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00434
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.965009
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.941683
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.916764
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.89177
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.868509
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.849841
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.831501
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.814637
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.805538
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.787781
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.778023
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.768236
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.758231
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.750852
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.745276
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.740196
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.729896
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.725646
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.718405
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.706955
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.701951
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.697634
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.690498
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.68608
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.684465
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.681379
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.680956
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.680418
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.675503
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.680082
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.67841
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.679991
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.680614
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.679849
Stopping. Best iteration:
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.675503

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05075
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01193
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.976369
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.937025
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.909883
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.89388
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.881001
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.865841
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.852717
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.844527
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.834938
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.822805
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.8211
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815942
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.807011
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.80274
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.796059
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.794361
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.789817
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.783899
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.781484
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.774474
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.777371
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.774406
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.772378
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.768839
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.769964
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.767065
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.766436
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.767054
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.769823
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.770488
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.771068
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.776168
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.766436

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05093
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00669
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977336
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.943095
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.92413
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.909574
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.889161
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.870548
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.853168
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.849716
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.840702
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.837149
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.833229
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.824685
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.820017
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.812126
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.80557
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.795999
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.79603
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.785408
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.780727
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.780465
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.774793
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.774866
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.76992
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.768635
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.765653
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.765679
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.766823
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.770691
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.775906
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.776233
Stopping. Best iteration:
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.765653

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04484
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00191
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.965355
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.935856
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.911764
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.890027
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.87135
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.854045
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.836538
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.822515
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.807877
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.79406
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.784077
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.774992
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.768054
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.753527
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.74646
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.739438
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.730909
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.729927
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.725092
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.722439
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.720474
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.718949
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.71873
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.714966
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.708879
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.705353
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.703994
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.703095
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.700339
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.695088
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.692701
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.692128
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.691434
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.692315
[36]	validation_0-merror:0.216667	validation_0-mlogloss:0.694708
[37]	validation_0-merror:0.216667	validation_0-mlogloss:0.69472
[38]	validation_0-merror:0.216667	validation_0-mlogloss:0.692162
[39]	validation_0-merror:0.216667	validation_0-mlogloss:0.690934
[40]	validation_0-merror:0.216667	validation_0-mlogloss:0.689709
[41]	validation_0-merror:0.233333	validation_0-mlogloss:0.690466
[42]	validation_0-merror:0.25	validation_0-mlogloss:0.691457
[43]	validation_0-merror:0.233333	validation_0-mlogloss:0.690493
[44]	validation_0-merror:0.233333	validation_0-mlogloss:0.694081
[45]	validation_0-merror:0.233333	validation_0-mlogloss:0.695653
Stopping. Best iteration:
[40]	validation_0-merror:0.216667	validation_0-mlogloss:0.689709

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04895
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00703
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.970043
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.942727
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.916633
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.895921
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.881876
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.871467
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.865042
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.853893
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.849589
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.843264
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.833015
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.82064
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.817945
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.808471
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.810722
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.804436
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.799338
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.803526
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.806523
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.804594
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.806037
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.812219
Stopping. Best iteration:
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.799338

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05026
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00947
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.973644
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.946332
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.920484
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.900093
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.879755
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.865865
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855632
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847702
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.841891
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.837431
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.833037
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.830983
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.82646
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.824533
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.823268
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.822373
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.821471
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.823217
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.82535
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.82675
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.828507
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.828104
Stopping. Best iteration:
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.821471

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04689
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00445
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.975585
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.948987
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.921645
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.899839
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.880877
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.867856
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.848091
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.829673
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.820242
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.813027
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809003
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.802646
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.794686
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.784997
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.781252
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.774559
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.765837
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.75916
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.74856
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.743207
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.738303
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.731964
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.72362
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.71819
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.717106
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.711684
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.704809
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.703986
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703147
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703546
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.705491
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.701983
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.701673
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.705282
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.705799
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.711663
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.709083
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.704217
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.701673

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06209
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02175
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.985672
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.953294
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.930609
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.910004
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.889054
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.869109
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.848729
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.841685
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.83271
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.823509
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.820853
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.814759
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.806373
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.795412
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.791369
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.789223
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.782492
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.774103
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772171
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.762277
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.761635
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.758777
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.757548
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.761007
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.756635
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.762217
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.752231
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.751578
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.749634
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.751911
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.752877
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.752989
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.760026
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.762903
Stopping. Best iteration:
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.749634

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05173
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01559
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98343
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.95231
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.922851
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.903803
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.886756
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.873306
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.857289
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.844229
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.840496
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829494
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.81477
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.811903
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79482
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781172
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.772672
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.759128
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.761955
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.761352
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.762894
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.75823
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.755408
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.753134
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.757251
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.755297
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.752564
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.746609
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.74093
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.73981
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.736794
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.738888
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.740452
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.737913
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.739407
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.740247
Stopping. Best iteration:
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.736794

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04908
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00887
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.969473
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.94233
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.918673
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.893059
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.871852
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.852075
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.833967
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.820363
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.808351
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.791728
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.778062
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.770314
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.763814
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.756118
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.74918
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.74755
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.739577
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.732408
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.725514
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.717602
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.71233
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.708459
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.704364
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.698936
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.698506
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.696587
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.693001
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.695297
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.69701
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.6965
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.697813
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.697212
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.693001

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04891
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01371
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977099
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.93787
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.916351
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.901533
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.884053
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.87152
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.853189
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.837499
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.826966
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.817399
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.809993
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.803786
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.795494
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.790582
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.786577
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.785178
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.778613
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.771418
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.771732
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.76426
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.76686
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.76149
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.758624
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.758468
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.756063
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.75634
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.756581
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.757928
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.759515
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.75789
Stopping. Best iteration:
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.756063

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05205
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00861
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.980417
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.942639
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.922488
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.90382
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.882565
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.861223
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.852412
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.847409
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.839306
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.83591
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.821066
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.814631
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.801328
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.792195
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.787455
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.780839
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.78015
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.772906
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.764961
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.763219
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.759512
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.757542
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.751752
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.752877
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.749495
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.749171
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.751583
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.750318
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751607
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.752948
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.746091
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.746973
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.745471
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.749243
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.741931
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.745447
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.747873
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.746746
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.748809
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.751508
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.741931

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.04748
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00433
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.97148
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.938594
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.915186
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.892534
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.874121
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.856798
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.841045
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.828502
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.821648
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.809748
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.797436
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.789085
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.782244
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.77387
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.768447
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.762096
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.757552
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.749419
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.745283
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.737894
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.735199
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.733426
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.729535
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.728918
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.726133
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.725078
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.723145
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.725438
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.723333
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.724922
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.724629
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.719277
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.718624
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.719649
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.719278
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.719741
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.721207
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.722113
Stopping. Best iteration:
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.718624

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04789
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00592
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.970474
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.942933
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.915397
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.88991
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.869605
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.85918
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.844434
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.834288
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.82887
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.827872
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.828429
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.822037
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.820066
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.811303
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.809393
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.804394
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.800759
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.79902
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.801863
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.798421
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.80107
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.794168
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.795536
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.790934
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.793001
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.790963
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.796554
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.803406
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.804795
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.790934

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04723
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00776
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.97131
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.940036
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.907929
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.889141
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.871537
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.859053
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.84811
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.839872
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.831775
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.821854
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.813982
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.810159
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.805083
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.803858
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.803213
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.797675
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.795851
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.795543
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.795038
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.795372
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.791003
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.786871
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.782856
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.77729
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.775735
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.771609
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.770981
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.773032
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.773969
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.77519
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.776202
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.776832
Stopping. Best iteration:
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.770981

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0477
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0074
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977567
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.948626
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.9271
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.905148
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.888782
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.869754
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.852752
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.837025
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826084
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.813858
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805983
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.795837
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.78893
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.780968
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.769745
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765293
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757125
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.751565
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.742762
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.73813
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.735457
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727327
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.718795
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.713515
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.714547
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.709809
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.704079
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.704494
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.704368
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704381
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.704446
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.708143
Stopping. Best iteration:
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.704079

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02012
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.985114
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.950777
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.924837
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.90337
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.885045
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.871225
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.853031
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.846437
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.838417
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.829682
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.827165
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.818112
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.813011
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.801043
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.795021
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792269
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.78596
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.779102
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775197
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.764049
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.763243
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.758404
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.758581
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.756433
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.751535
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.750516
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.740158
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.739043
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.741436
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.743197
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.74292
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.743677
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.74972
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.739043

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06106
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02791
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.994202
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.963559
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.942398
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921813
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.900184
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.886675
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.87168
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.858168
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.851665
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.842483
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.826962
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.822117
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.805713
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789965
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.782243
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.774996
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.774164
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.764871
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.768257
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.769205
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.768899
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.766104
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.766387
Stopping. Best iteration:
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.764871

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04973
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00856
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.973824
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.947327
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.922752
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.902556
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.881464
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.86283
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.84636
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.828246
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.818816
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.800333
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.789184
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.782785
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.775232
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.7642
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.754535
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.749785
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.741517
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.737187
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.729588
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.721921
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.716064
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.71361
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.710265
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.705018
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.701849
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.700539
[28]	validation_0-merror:0.216667	validation_0-mlogloss:0.697557
[29]	validation_0-merror:0.233333	validation_0-mlogloss:0.69802
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.697095
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.695161
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.696102
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.696387
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.697844
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.695822
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.696499
Stopping. Best iteration:
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.695161

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04811
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01124
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.974001
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.936595
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.917592
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.900525
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.88219
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.86846
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.85222
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.840132
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.827061
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.819811
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.814543
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.808917
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.797
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.789917
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.784706
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.773557
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.76782
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.760525
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.757443
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.753328
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.762146
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.758281
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.755472
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.757036
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.752568
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.749541
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.748736
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.748119
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.749778
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.756764
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.756216
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.757324
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.759567
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.748119

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01197
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.979477
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.943814
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.924631
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.908337
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.885279
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.867216
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.860973
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.856048
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.853209
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.847357
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.837316
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.833839
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.82348
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.812281
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.801769
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.794101
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.790031
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.782155
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.774311
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.772485
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.766619
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.764109
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.758919
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756116
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.756857
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.754516
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.75558
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.756476
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.760816
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.760839
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.758328
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.754516

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04531
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00281
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.967783
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.937027
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.909637
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.889477
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.872161
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.855687
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.843341
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.830224
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.821502
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.814128
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.804504
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.799627
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792299
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.783558
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.776515
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.770988
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.765774
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.761537
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.759337
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.756405
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.755684
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.757511
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.757255
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.755003
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.752859
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.749164
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.744567
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.742424
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.743563
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.743192
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.742747
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.743573
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.741937
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.738122
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.731864
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.731674
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.73033
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.731823
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.731057
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.72992
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.731321
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.729676
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.724079
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.726213
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.725794
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.72559
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.723522
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.726556
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.726165
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.725093
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.726123
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.726052
Stopping. Best iteration:
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.723522

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04776
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0027
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.966074
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.93451
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.908003
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.887467
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.869726
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.853222
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.838907
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.827801
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.817331
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.806314
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.799052
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.795597
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.78765
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.786844
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.783105
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.777939
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.77215
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.768986
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.772172
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.767215
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.761709
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.759623
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.763035
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.761444
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.763541
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.760693
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.761071
Stopping. Best iteration:
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.759623

[0]	validation_0-merror:0.266667	validation_0-mlogloss:1.04528
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00781
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.975288
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.946624
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.924674
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.903008
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.886452
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.869298
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.858022
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846321
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.840747
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.831826
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.823839
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.820066
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.81395
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.813618
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.815419
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.814391
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.811628
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.803383
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.799218
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.801028
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.799012
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.798526
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.797792
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.792413
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.793032
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.790933
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.785817
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.782939
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.782975
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.780705
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.778291
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.777187
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.774624
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.774387
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.772033
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.770081
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.771142
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.768905
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.766578
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.770047
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.769648
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.771555
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.775479
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.774218
Stopping. Best iteration:
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.766578

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04875
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01121
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977567
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.949096
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.926134
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.90546
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.888343
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.871509
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.858155
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.840054
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.829674
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.818438
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.81163
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.804442
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.800234
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.789057
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77474
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768748
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.762346
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.75733
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.746927
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.742791
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.737749
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.7266
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.719117
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.712294
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.71369
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.703075
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.702529
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.704987
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.705823
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.706946
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.7052
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.703306
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.702529

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06342
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02153
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.988744
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.956944
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.934559
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.913859
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.894727
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.880714
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.860209
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.851234
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.842196
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.829394
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.827552
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.819061
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.808514
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.80309
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.791656
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.788598
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.786985
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.776035
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.771146
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.768372
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.769109
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.765805
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.765027
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.766903
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.759738
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.759258
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.757082
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.755575
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.757311
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.75735
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.757542
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.757126
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.758297
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.755575

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.996259
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.966538
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.9449
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.926689
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.910507
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.895672
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.879273
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866891
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.859238
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.848577
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.832576
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.825122
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.816245
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.805941
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.798604
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.789659
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.791298
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.788422
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.787849
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.787288
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.78594
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.779364
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.777272
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.776107
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.768035
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.76656
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.76184
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.761277
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.758041
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.755551
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.757128
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.757815
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.758058
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.757706
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.757574
Stopping. Best iteration:
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.755551

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04907
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0104
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977812
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.951242
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.929879
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.909491
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.88856
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869341
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.852757
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.835128
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.822688
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.805384
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.793403
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.784424
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.781151
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.772658
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.763467
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.758313
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.750373
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.747204
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.738428
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.733604
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.725836
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.720782
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.714813
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.716398
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.715534
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.710501
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709153
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.708328
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.705907
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.705002
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.704928
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.703042
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.704064
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.699225
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.703292
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.70061
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.698986
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.696681
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.697185
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.695595
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.693869
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.697178
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.698939
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.698945
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.698559
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.700911
Stopping. Best iteration:
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.693869

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04959
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01519
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.981417
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.94611
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.922926
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.901553
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.885993
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.87685
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.863769
[9]	validation_0-merror:0.433333	validation_0-mlogloss:0.849659
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.832612
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.824995
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.817802
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.809684
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.797948
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.790965
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.783833
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.776329
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.769916
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.76324
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.761708
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.756872
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.759944
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.754832
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.75448
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.759923
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.753335
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.753396
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.754986
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.756955
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.762304
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.764298
Stopping. Best iteration:
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.753335

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01394
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.984919
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.954291
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.936066
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.920871
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.900047
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.882282
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.87197
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.865829
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.862506
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.85484
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.846139
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.842408
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.830486
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.821036
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.811401
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.801543
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.798342
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.789925
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.784014
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.782504
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.778625
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.779083
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.777545
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.774918
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.774552
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.772806
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.771536
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.772175
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.774025
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.773357
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.768854
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.768297
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.768107
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.772995
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.771011
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.77051
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.770997
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.77258
Stopping. Best iteration:
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.768107

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05115
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01325
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.981913
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.954987
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.93029
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.911795
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896345
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.882513
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.869249
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.857327
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.847916
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.840294
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.831089
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.82519
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.819215
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.811301
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.805451
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.795562
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.78893
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.779379
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.777868
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.776562
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775533
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.769765
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.770562
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.766802
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.765813
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.765119
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.761609
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.758695
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.756127
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.757981
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.757094
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.755467
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.75537
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.754991
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.75312
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.751707
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.751009
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.75086
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.750748
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.75036
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.750189
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.751116
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.752608
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.751894
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.750318
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.748144
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.746355
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.744423
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.744661
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.742799
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.74056
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.742368
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.742209
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.739397
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.74058
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.742131
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.741795
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.740956
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.74055
Stopping. Best iteration:
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.739397

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04787
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00745
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.972267
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.942822
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.919725
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.899275
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.877942
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.860714
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.845031
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.832485
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.826629
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.813432
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.809352
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.805247
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.800774
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.798796
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.79068
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.793308
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.786984
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.784221
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.784858
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.783501
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.781357
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.776427
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.773075
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.772735
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.772404
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.771709
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.769454
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.772354
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.774439
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.77519
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.775888
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.778032
Stopping. Best iteration:
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.769454

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05152
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01219
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.979022
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.950874
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.931459
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.913347
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.901038
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.882017
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.869721
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.862282
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.851336
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.841386
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.837033
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.830975
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.83232
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.830448
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.826987
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.821555
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.81736
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.810319
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.805062
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.799725
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.795908
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.79302
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.78837
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.786551
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.780699
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.781139
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.780388
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.772043
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.770966
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.768669
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.763159
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.762358
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.76537
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.767045
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.764487
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.767873
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.766579
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.762358

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04813
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980018
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.950213
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.925624
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904891
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.887917
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.871761
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858541
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.840827
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.829091
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.820904
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.812514
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.801985
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.797752
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.792401
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.783532
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.777121
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.771188
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.764789
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.757063
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.753293
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.749624
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.742025
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.734132
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.730791
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.730033
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.724102
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.720851
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.719549
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.719718
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.71653
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.716958
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.721094
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.720912
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.723112
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.725992
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.71653

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06528
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02615
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.994072
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.961102
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.937942
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.918526
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.898816
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.883993
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.86501
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.856016
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.845444
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.83262
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.830171
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.820833
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.810089
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.800877
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.78919
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.783808
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.780153
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.771168
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.766249
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.761982
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.760381
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.758532
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.756217
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.761455
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.754031
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.750928
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.749797
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.746665
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.747187
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.748799
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.745497
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.739931
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.740705
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.743045
[36]	validation_0-merror:0.4	validation_0-mlogloss:0.743149
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.745437
[38]	validation_0-merror:0.4	validation_0-mlogloss:0.75335
Stopping. Best iteration:
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.739931

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06089
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999297
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971465
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.946297
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926245
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.908588
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.89376
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87752
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.861036
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.854292
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.842695
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.826861
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.820363
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.809275
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.799207
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.792152
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.783944
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.783029
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.774737
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.774236
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.768192
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.763076
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.756354
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.75153
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.74803
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.742431
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.740894
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.737766
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.73504
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.730819
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.729128
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.727878
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.73136
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.728773
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.729298
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.729895
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.72714
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.730428
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.727803
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.724166
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.719082
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.719742
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.719404
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.71915
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.716646
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.718647
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.721415
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.718536
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.717898
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.717771
Stopping. Best iteration:
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.716646

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0504
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01679
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.9823
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.954841
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.933773
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.912488
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.890233
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.87083
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853899
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.83716
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.824383
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.808683
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.793399
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.785484
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.779186
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.770218
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.762246
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.762796
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.752095
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.749939
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.745262
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740101
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.734553
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.729699
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.725928
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.720162
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.718909
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71334
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.710132
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.71233
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.711152
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.710798
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.709643
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70935
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.70884
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.703914
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.703324
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.707639
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.704886
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.704433
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.706163
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.705285
Stopping. Best iteration:
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.703324

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05652
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.01859
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.984859
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.953671
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.929429
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.913821
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.900021
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.888708
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.875027
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.858652
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.845441
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.836887
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.82846
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.819045
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811255
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.807465
[16]	validation_0-merror:0.416667	validation_0-mlogloss:0.800112
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.793297
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.785683
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.780479
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.779493
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.774629
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.776193
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.770987
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.7691
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.76954
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.762248
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.760331
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.761488
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.762701
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.76439
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.766278
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.766609
Stopping. Best iteration:
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.760331

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994168
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.9616
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.939901
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.923236
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.903063
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885446
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.874622
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.867067
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.850951
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.841654
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831111
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.82611
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.818175
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.812628
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.8095
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.805828
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.80094
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.790512
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.785965
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.787673
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.783722
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.780015
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.781361
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.785935
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.780658
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.777934
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.779242
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.776432
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.776599
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.775597
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.773278
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.771757
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.770674
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.77309
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.772577
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.771156
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.768909
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.769165
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.76731
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.766339
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.764826
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.762134
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.762528
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.763506
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.762318
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.761614
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.76136
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.761781
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.762125
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.763274
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.767754
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.766131
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.76136

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05142
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01449
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.983726
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.956969
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.935971
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.915795
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.899929
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.884679
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.8712
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.859865
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.850529
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.840437
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.834794
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.825794
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.816824
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.811138
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.80666
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.80558
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.803081
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.798489
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.797094
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.795773
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.796416
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.79213
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.788605
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.78574
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.78336
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.782082
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.77936
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.774074
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.769853
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.767907
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.767441
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.764849
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.765032
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.764424
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.763186
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.763432
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.762121
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.761484
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.761908
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.761544
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.762812
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.763263
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.762782
Stopping. Best iteration:
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.761484

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04766
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00744
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.973823
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.945062
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.920055
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.898331
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.882284
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.867506
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.858078
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845105
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.836833
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.832202
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.82365
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.819472
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811322
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802689
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.799728
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.79286
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.791392
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.79044
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.787304
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.787039
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.784887
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.783912
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.77897
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.776158
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.772916
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.768788
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.769838
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.768155
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.77248
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.772838
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.772591
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.773144
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.776246
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.768155

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0529
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01442
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978862
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957423
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.927453
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.905015
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.890088
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.876974
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.863441
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.852369
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.841649
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.832141
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.827323
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.814896
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.807248
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.800534
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.796278
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.794712
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.791257
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.788663
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.787117
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.783018
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.78195
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.781551
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.778055
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.773477
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.770731
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.766989
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.764412
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.764036
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.761165
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.758595
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.7568
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.755607
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.756719
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.758343
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.756312
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.757389
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.756984
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.755607

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04941
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0063
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.974369
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.944662
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.919025
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.897798
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.875737
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.859572
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.837604
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.816833
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.803511
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.79197
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.784446
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.775679
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.765574
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.759236
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.754431
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.749298
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.744197
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.736515
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.731868
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.732093
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.7299
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.724602
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.715403
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.710179
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.710043
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.703787
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.700924
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.703718
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703751
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.709302
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714816
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.713353
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.700924

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06141
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01772
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.980751
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.951842
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.928741
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.909195
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.887143
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.873521
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.859694
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.8548
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.845241
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.837857
[12]	validation_0-merror:0.433333	validation_0-mlogloss:0.833235
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.824613
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.814112
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802925
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.79657
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.798949
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.79316
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.78413
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.784322
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.774806
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.775572
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.770628
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.770293
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.771097
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.771681
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.774913
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.774647
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.774187
Stopping. Best iteration:
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.770293

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05411
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01755
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.987237
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.951954
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.919286
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.898007
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.880645
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864004
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851253
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.835412
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.836671
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.81964
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.801578
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.798642
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.784547
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.771519
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.762273
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.748279
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.749653
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.746179
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.743814
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.741888
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.739869
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.739147
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.739402
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.736164
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.745847
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.748597
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.74937
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.748272
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.750106
Stopping. Best iteration:
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.736164

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04747
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00853
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.966997
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.939678
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.913762
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.889175
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.869072
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.850581
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.831965
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.816923
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.807948
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.792114
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.783228
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.776753
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.767184
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.7605
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.753938
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.747369
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.740809
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.740256
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.731806
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.725335
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.721273
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.716909
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.707817
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.705891
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.70455
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.702588
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.703722
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.70184
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.699344
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.703787
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.703339
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.704667
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.705544
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.707054
Stopping. Best iteration:
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.699344

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0534
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01494
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.977642
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.934727
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.911948
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.897399
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.876622
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.859272
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.844177
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.83611
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.826758
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.819912
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.814929
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.807051
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.794951
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791599
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.783987
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.781842
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.778828
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.778405
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.776284
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.773897
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.777717
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.773697
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.771617
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.773718
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.77157
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.771634
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.77113
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.774171
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.774876
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.773862
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.775039
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.7811
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.77113

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05585
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01376
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.988831
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.954232
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.93211
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.919562
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.898564
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.880631
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.868657
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.863098
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.855094
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.85073
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.844007
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.841479
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.84199
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.832548
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.828862
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.822389
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.82248
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.819351
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.814093
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.817447
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.814374
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.814602
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.815221
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.810757
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.812
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.810821
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.814887
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.820092
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.825748
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.810757

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04438
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:0.998873
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.961605
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.933329
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.91116
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.885699
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.864876
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.842719
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.827993
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.811877
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.800273
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.788973
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.77116
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.76098
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.753747
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.744033
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.739433
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.733528
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.725746
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.720866
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.713187
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.708585
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.708404
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.705908
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.697424
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.692823
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.69314
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.691225
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.689848
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.68645
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.686329
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.685713
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.684247
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.683702
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.683197
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.683774
[36]	validation_0-merror:0.233333	validation_0-mlogloss:0.68234
[37]	validation_0-merror:0.233333	validation_0-mlogloss:0.684745
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.686644
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.686059
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.688546
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.689562
Stopping. Best iteration:
[36]	validation_0-merror:0.233333	validation_0-mlogloss:0.68234

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0498
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00697
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.96868
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.937493
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.907389
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.886685
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.866814
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.855033
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.840897
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.830965
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.825121
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.816962
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.81404
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.806219
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.801402
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.801333
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.796139
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.797108
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.796743
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.796446
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.799436
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.798389
Stopping. Best iteration:
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.796139

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05564
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01514
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.980607
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.956816
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.935637
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923441
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.909442
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.897576
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.88919
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.879959
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.873482
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.862876
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.855333
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.853509
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.851024
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.852013
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.854155
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.856139
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.860022
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.862947
Stopping. Best iteration:
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.851024

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04734
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00311
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.974286
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.947763
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.919638
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.899888
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.8773
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864495
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.846859
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.828551
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.81893
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.808727
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.801566
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.795449
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.790256
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.782549
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.778339
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.771534
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.76059
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.754123
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.747095
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.739808
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.737218
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.728707
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.72056
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.71405
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.713569
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.706451
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.7004
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.701604
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.698451
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.6999
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.701454
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.698974
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.698235
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.702771
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.7076
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.712107
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.709019
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.707985
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.698235

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06167
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.025
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.989331
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.956713
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.930566
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.91092
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.890681
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.871157
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.855387
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.846627
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.839316
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.826644
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.825564
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.815886
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.809227
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.799622
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.791024
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.791053
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789906
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.787569
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.786552
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.780774
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.783321
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.784673
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.781567
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.778736
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.774881
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.778379
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.770753
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.772792
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.772488
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.775323
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.775413
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.774566
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.770753

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05207
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01429
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.979968
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.947191
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.917998
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.898539
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.880995
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868246
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.856542
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.839566
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.836946
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.823684
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.807978
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.802774
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.789035
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.775969
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765002
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.751042
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.749347
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.747431
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.743898
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.742107
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.74157
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.739055
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.741351
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.742039
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.739428
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.734111
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.737133
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.739485
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.734786
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.734653
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.736168
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.734111

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0504
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01127
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.973207
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.944292
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.92357
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.897114
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.877885
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.855507
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.83669
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.822634
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.811619
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.795021
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.781904
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.775232
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.770523
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.76539
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.758862
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.755194
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.74501
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.740744
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.732194
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.725294
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.723178
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.720345
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.709615
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.703964
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.704049
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.696593
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.693329
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.692496
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.689986
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.693745
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.69291
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.693766
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.694541
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.69465
Stopping. Best iteration:
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.689986

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04869
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01262
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.973937
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.932307
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.905921
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.894255
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870957
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.85699
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.839859
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.825441
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.812252
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804396
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.797065
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.794376
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.78612
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.780069
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.777399
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773288
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.769814
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.766497
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.765192
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.759377
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.762837
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.762105
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.761988
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.760059
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.756025
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.757857
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.756042
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.760467
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.765274
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.765634
Stopping. Best iteration:
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.756025

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05496
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0131
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.982861
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.944257
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.922087
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.905574
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.884891
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.866001
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.852661
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846934
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.837109
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.83325
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.818208
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.813687
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.801236
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.79417
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.784517
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.778531
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.776972
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.76987
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.762709
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.761715
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.758274
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.755794
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.751426
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.752412
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.755583
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.755982
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.756553
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.76007
Stopping. Best iteration:
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.751426

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04967
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.0046
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.971434
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.939245
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.914761
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.893059
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.875114
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.860335
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.845551
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.833209
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.82302
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.814265
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.80294
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.797786
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790638
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.783357
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773083
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.76578
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759076
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.756942
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.753329
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749788
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.751283
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.74661
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.743652
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.74504
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.742262
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.740592
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.740963
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.741593
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.740241
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.740078
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.740174
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.741753
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.744004
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.744063
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.747117
Stopping. Best iteration:
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.740078

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04752
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00655
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.970633
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.938982
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.914326
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.890585
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.872613
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.856682
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.838205
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.825456
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.813195
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.799063
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.796754
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.789369
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.785943
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.780963
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779362
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.777825
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.774037
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.775568
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.775579
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.774246
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.777869
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.772142
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.773466
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.778103
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.774682
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.776332
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.778658
Stopping. Best iteration:
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.772142

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04838
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00959
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976829
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.94484
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.917021
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.891561
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.876595
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.85969
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.84644
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.835896
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.824684
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.819867
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.816277
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.811934
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.808928
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.806135
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.803432
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.802783
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.804279
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.807165
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.807978
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.809308
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.811656
Stopping. Best iteration:
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.802783

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04853
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00699
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977265
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.947368
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.925023
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.903254
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.883085
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864898
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.850181
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.834396
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.823581
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.812087
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.804123
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.794518
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788266
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.781902
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.770866
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.769203
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.760949
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.755339
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746558
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.742113
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.738832
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.730656
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.722307
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.717369
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.71835
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.711149
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.705558
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.705913
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.704431
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.706045
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.706567
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.70417
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.705227
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.703172
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.70357
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.708974
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.704583
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.702039
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.699839
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.696236
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.697122
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.696991
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.695926
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.692937
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.694274
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.696065
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.693776
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.689578
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.692997
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.692209
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.691137
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.691881
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.693262
Stopping. Best iteration:
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.689578

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02308
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.987189
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.954737
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.929045
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.908725
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.888219
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.874311
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.856555
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.849996
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.841561
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.828443
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.824604
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.816419
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.811363
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.800803
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.795337
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.796444
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.791895
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.784453
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.783091
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.77364
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.77357
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.768666
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.766699
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.764827
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.759636
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.756504
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.746902
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.745999
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.748094
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.750858
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.7507
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.747396
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.754842
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.745999

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06106
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02791
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.992644
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.959458
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938262
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.917092
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.897555
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.883832
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.868824
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.856185
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849692
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.835948
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.821434
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.815309
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.801464
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.785688
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775001
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.767901
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.76528
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.76066
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.763783
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.764636
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.762444
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.759374
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.76024
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.755331
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.750112
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.744195
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.737404
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.737634
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.733873
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.732343
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.734988
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.738038
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.735923
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.737741
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.738096
Stopping. Best iteration:
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.732343

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04962
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00896
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977724
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.948595
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.925475
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.906335
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.887952
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.867396
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.850163
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.832152
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.822121
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.806328
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.796762
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.791191
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.784052
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.774333
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.766147
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.763017
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.752443
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.750871
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.743426
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.734991
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.731467
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.730411
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.730472
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.725912
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.723278
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.719377
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.717085
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.721822
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.722938
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.722499
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.722566
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.723315
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.717085

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04706
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.00981
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.970751
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.934687
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.91528
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.900182
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.877195
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.859845
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.844891
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.829394
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.816004
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.808266
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.800934
[13]	validation_0-merror:0.416667	validation_0-mlogloss:0.794725
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.782384
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.777581
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.77275
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.763975
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.756572
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.75511
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.755744
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.755492
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.76024
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.759001
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.757686
Stopping. Best iteration:
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.75511

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05065
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01378
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.980705
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.947037
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.925882
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.90887
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.884563
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.865948
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.851828
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.845784
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.837378
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.832137
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.824181
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.821774
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.813692
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.804218
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.793066
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.785351
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.782094
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.772938
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.767434
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.767512
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.76248
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.761785
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.764058
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.766529
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.768536
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.76781
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.771574
Stopping. Best iteration:
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.761785

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04638
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.00314
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.966601
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.936573
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.911247
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.890003
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.873356
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.856771
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.842978
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.832782
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.823404
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.817239
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.809812
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.800713
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.795338
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.790912
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.782532
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.776017
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.770418
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.767992
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760657
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.75826
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.752904
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.747685
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.746863
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.742051
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.738711
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.734948
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.730749
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.731949
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.735299
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.739789
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.739198
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.736561
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.730749

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04997
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00699
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.969187
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.937768
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.915194
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.894556
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.877974
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.860766
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.843963
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.835235
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.818745
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.806639
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.79926
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.792585
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.784861
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.780151
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.774002
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.771446
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.767703
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.765536
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.758334
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.760381
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.75647
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.753497
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.756193
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.755404
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.753058
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.756063
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.753681
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.752424
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.752986
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.756497
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.75789
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.757296
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.759888
Stopping. Best iteration:
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.752424

[0]	validation_0-merror:0.283333	validation_0-mlogloss:1.04665
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00775
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.974587
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.94469
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.919383
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.901823
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.878945
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.862073
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.849863
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.836961
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.825259
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.819319
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.813805
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.808776
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.805404
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.80008
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.798678
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.799384
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.793115
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.79422
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.7945
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.793228
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.789448
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.790793
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.792741
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.795115
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.794876
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.798074
Stopping. Best iteration:
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.789448

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04875
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01128
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977604
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.9485
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925836
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.906309
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886593
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.870288
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858594
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.840963
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.830353
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820357
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.811732
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.804721
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798797
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791247
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.777353
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772645
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.766114
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.762087
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.750822
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.745576
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740867
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.729831
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.724073
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.719509
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.721242
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.71048
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.708952
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.710754
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.711073
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.713034
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.711471
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.712826
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.708952

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06342
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02313
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.989311
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.95741
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.934952
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.915377
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.896204
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.881327
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.861047
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.851969
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.842832
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.829224
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.826949
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.818603
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.810662
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.804983
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.794506
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.79192
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.791355
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.78417
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.776725
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.774746
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.775659
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.77311
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.769741
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.773117
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.766004
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.765669
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.760793
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.758974
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.75885
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.758864
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.759584
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.7577
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.7635
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.767458
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.769583
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.77223
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.779239
Stopping. Best iteration:
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.7577

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.996259
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965122
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.943406
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.923978
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.907268
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.892728
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.877898
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.865556
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.857978
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.84724
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.83135
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.823913
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.816016
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.806039
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.799064
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.792533
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.790052
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.787124
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.782839
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.776972
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775929
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.768783
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.766546
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.764649
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.757717
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.755977
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.750769
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.7496
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.745885
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.744025
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.744452
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.744442
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.743176
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.742764
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.744931
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.742327
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.744043
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.740132
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.736659
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.733091
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.73751
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.735259
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.733436
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.7321
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.737261
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.737478
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.73631
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.734033
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.738556
Stopping. Best iteration:
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.7321

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04891
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01104
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.97869
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.95141
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.931734
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.911064
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.888186
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.866753
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.845876
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.829126
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.817753
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.803463
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.792418
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.784898
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.780841
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.771131
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.762285
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.757637
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.752567
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.749139
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.7393
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.734769
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.729605
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.722048
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.716461
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.715726
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.713503
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.710045
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.708605
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.711413
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.708021
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.707824
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.708045
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.707006
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.70975
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.707645
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.70699
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.702877
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.700801
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.700273
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.700914
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.70093
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.699255
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.700147
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.702902
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.701378
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.700752
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.702001
Stopping. Best iteration:
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.699255

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04993
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01428
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.978936
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.944791
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.919778
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.900124
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.883918
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.874249
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.862959
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.851979
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.835123
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.826493
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.819726
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.811615
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.796721
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.790444
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.78382
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.779366
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.775521
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.768126
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.770292
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.766804
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.774148
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.768862
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.768356
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.772506
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.77256
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.766804

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01436
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985125
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.95443
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.937296
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.921842
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.900886
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.883145
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.872664
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.866097
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.862658
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.854146
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.845971
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.842077
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.827431
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.817975
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.8071
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.796114
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.794703
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.788977
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.784999
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.782735
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.775066
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.775618
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.775095
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.773841
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.772082
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.771375
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.774243
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.774834
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.776891
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.776998
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.773406
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.771375

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05019
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01178
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.979928
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.953047
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.930493
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.909411
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.893802
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.880156
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.86787
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854327
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.845022
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.834205
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.827801
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.821137
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.814481
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.809652
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.804801
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.795414
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.791514
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.785486
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.783497
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.776518
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.772197
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.770017
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.764436
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.763327
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.759242
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.761257
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.757238
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.754664
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.75537
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.753496
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.751348
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.751966
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.749093
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.748785
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.747831
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.749679
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.750442
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.748147
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.748991
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.749082
Stopping. Best iteration:
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.747831

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0493
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.00969
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.974506
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.950864
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.9232
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.90569
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.886513
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.871385
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.854789
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.842326
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.834945
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.824058
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.820406
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.818489
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.809501
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.808127
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.804373
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.804288
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.803422
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.798899
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.799379
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.796209
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.793871
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.793244
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.790999
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.788565
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.791
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.787485
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.788271
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.788406
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.790869
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.790454
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.791486
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.787485

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05059
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01231
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.974831
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.952651
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.933096
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.91056
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.895546
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.878111
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.863888
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.856735
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.845184
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.834441
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.825964
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.824065
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.82389
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.824193
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.825221
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.820574
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.819736
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.816009
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.812135
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.807744
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.807071
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.805369
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.801809
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.798157
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.798156
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.797871
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.796348
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.791081
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.790793
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.782322
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.77601
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.77403
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.769882
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.768879
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.767488
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.769809
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.768945
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.76644
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.769905
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.773034
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.774609
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.772274
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.773048
Stopping. Best iteration:
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.76644

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04813
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980018
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.950213
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.925624
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904891
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88571
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869126
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855019
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.837473
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.824228
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.816265
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.807594
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.796192
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792191
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784901
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.774514
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768653
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.76258
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.756139
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749386
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.744945
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.741606
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.73432
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.72645
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.720543
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.719634
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.713322
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.7102
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.710029
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.710371
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.70996
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.711305
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.708712
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.708247
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.709373
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.71219
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.717092
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.712283
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.71083
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.708247

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06528
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02615
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.99409
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961106
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.93792
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.91849
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.897934
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.883014
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.863994
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.854946
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.844687
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.830844
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.828282
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.814619
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.80635
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.800585
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.787926
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.782571
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.778735
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.772812
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.766371
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.761234
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.759661
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.755927
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.753895
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.759225
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.751693
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.748602
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.747515
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.743869
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.744291
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.745857
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.742405
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.73807
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.73878
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.74092
[36]	validation_0-merror:0.4	validation_0-mlogloss:0.742372
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.745038
[38]	validation_0-merror:0.4	validation_0-mlogloss:0.752754
Stopping. Best iteration:
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.73807

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06089
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999297
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970285
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.945141
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925114
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.907486
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.892631
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.876408
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.859971
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853219
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.841621
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.82582
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.819285
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.807288
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.798964
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.791887
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.783676
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.782707
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.774465
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.77407
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.767944
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.762709
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.755475
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.75074
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.747275
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.744685
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.743141
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.739936
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.737094
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.734629
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.732836
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.732259
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.735825
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.736071
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.73661
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.738598
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.736023
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.732259

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05083
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01259
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978489
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.949938
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.926992
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.905633
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.880039
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.861797
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.843376
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.827234
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.815034
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.801581
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.786103
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.778048
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.771279
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.760107
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.75467
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.754747
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.751322
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.748793
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743247
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.738494
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.734179
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727439
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.724143
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.724467
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.7219
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.717642
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.714336
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.716155
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.714943
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.714967
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714021
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.715803
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.715957
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.71363
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.715379
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.716369
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.713781
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.713638
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.713753
Stopping. Best iteration:
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.71363

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05653
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01951
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984362
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.953769
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.930781
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.914705
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.893409
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.88235
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.870536
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854238
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.840996
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.833665
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82522
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.816156
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.809837
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.806159
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.798944
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.792464
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.786071
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.782893
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.784028
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.778066
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.779802
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.77585
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.777838
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.776954
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.769919
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.767764
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.768271
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.771699
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.770967
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.769723
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.770042
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.767764

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994168
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.9616
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.939901
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.923236
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.903063
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885446
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.874622
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.867067
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.852154
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.842836
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.835124
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.827932
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.819746
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.815203
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.812816
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.810124
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.805257
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.791668
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.788445
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.790236
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.785656
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.781968
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.781221
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.782767
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.781702
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.779763
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.781592
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.78015
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.780248
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.780068
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.779883
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.779763

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01173
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.980161
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.95393
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.932425
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.914324
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896191
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.883157
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.868773
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.856945
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.847444
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.837263
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.828876
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.819612
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.812132
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.804912
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.799342
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.79299
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.792233
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.788466
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.787518
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.782618
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.778862
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.776368
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.7737
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.76839
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.76352
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.757207
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.755233
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.751588
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.748927
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.746808
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.744101
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.741628
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.741463
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.740216
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.742835
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.741958
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.742117
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.740382
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.741676
Stopping. Best iteration:
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.740216

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.048
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00805
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.97455
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.945132
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.919278
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.897479
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.877649
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.861986
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.846918
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.838205
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.828681
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.81792
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.812493
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.810352
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.804266
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.798437
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.790828
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.786017
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.782274
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.779869
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.777801
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.778131
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.775696
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.774757
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.772295
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.769231
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.771223
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.769837
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.772234
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.769736
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.770052
Stopping. Best iteration:
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.769231

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0529
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978067
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957385
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.931194
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.908872
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.891205
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.878814
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.865076
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.857926
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.845094
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839453
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.832131
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.823605
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.820685
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.815844
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.81561
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.811275
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.809245
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.806354
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.803129
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.798497
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.796372
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.793038
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.792091
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.791513
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.788424
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.785641
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.78046
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.777136
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.775547
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.776025
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.772276
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.769128
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.768431
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.766744
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.766278
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.762876
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.762138
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.761481
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.761863
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.761206
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.76209
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.760924
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.762602
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.762082
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.763442
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.763517
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.764204
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.760924

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05122
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00697
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.975042
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.94698
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.921671
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.900419
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.877936
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.862207
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.837492
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.823445
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.810991
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.799082
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.794586
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.789954
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.780247
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.771972
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.766589
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.761405
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757125
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.749961
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.745496
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.744947
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.741704
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.73565
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.725851
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.720072
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.718445
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.711906
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.709133
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712914
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.712905
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.717732
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.72274
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.720759
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.709133

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06157
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02107
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.984003
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.954554
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.931153
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.908722
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.883498
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.869796
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.854781
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.841824
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.832301
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.823955
[12]	validation_0-merror:0.433333	validation_0-mlogloss:0.824508
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.816031
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.806167
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.794139
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.788021
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.790166
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.784256
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.781147
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.781493
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.775152
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.774441
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.771913
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.771555
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.770779
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.771656
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.773558
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.769286
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.768621
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.770803
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.769514
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.769697
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.768663
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.76586
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.76675
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.769715
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.774983
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.779702
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.786436
Stopping. Best iteration:
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.76586

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05411
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01755
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.987237
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.951954
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.919286
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.898007
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.880645
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864004
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851253
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.835412
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.836671
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.821056
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.802931
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.799858
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.786334
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.775129
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.76576
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.753846
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.756175
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.752486
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.749964
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747857
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.744726
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.74391
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.743551
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.743174
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.753538
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.758163
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.760459
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.759195
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.76088
Stopping. Best iteration:
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.743174

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04705
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00744
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.96724
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.939302
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.915158
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.89101
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.87289
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.852669
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.832525
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.818056
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.805572
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.789148
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.782567
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.773737
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.764124
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.758609
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.753692
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.748288
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.744555
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.743654
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.734177
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.727814
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.723189
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.718188
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.712917
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.709937
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.70897
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.705674
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.706057
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.707019
[30]	validation_0-merror:0.233333	validation_0-mlogloss:0.702037
[31]	validation_0-merror:0.233333	validation_0-mlogloss:0.70543
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.707877
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.709242
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.709323
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.711741
Stopping. Best iteration:
[30]	validation_0-merror:0.233333	validation_0-mlogloss:0.702037

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05306
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01417
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978648
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.935436
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.910898
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.893255
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.872066
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.854817
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.841795
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.833396
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.823675
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.811059
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.803721
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.797214
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.786477
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.783353
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.7795
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.777255
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.774748
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.775269
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.7768
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.773842
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.776985
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.778186
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.776269
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.778467
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.780924
Stopping. Best iteration:
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.773842

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05585
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01376
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.987189
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.95286
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.930442
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917882
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.893388
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.875047
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.863054
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.85825
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.849196
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.843512
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.836616
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.834076
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.830876
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.826343
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.821706
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.818024
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.817998
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.813963
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.811834
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.819298
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.819089
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.818607
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.822028
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.8233
Stopping. Best iteration:
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.811834

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04488
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:0.999812
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.963985
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.936524
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.914028
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.891782
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.871072
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.853638
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.837379
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.825147
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.803913
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.790567
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.779246
[13]	validation_0-merror:0.233333	validation_0-mlogloss:0.771177
[14]	validation_0-merror:0.233333	validation_0-mlogloss:0.764057
[15]	validation_0-merror:0.233333	validation_0-mlogloss:0.760748
[16]	validation_0-merror:0.233333	validation_0-mlogloss:0.75686
[17]	validation_0-merror:0.233333	validation_0-mlogloss:0.755964
[18]	validation_0-merror:0.233333	validation_0-mlogloss:0.755427
[19]	validation_0-merror:0.216667	validation_0-mlogloss:0.749669
[20]	validation_0-merror:0.233333	validation_0-mlogloss:0.748327
[21]	validation_0-merror:0.233333	validation_0-mlogloss:0.746277
[22]	validation_0-merror:0.233333	validation_0-mlogloss:0.744194
[23]	validation_0-merror:0.233333	validation_0-mlogloss:0.741742
[24]	validation_0-merror:0.233333	validation_0-mlogloss:0.740713
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.741291
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.739786
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.741442
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.739744
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.741652
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.742157
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.741025
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.73893
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.736927
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.739382
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.738898
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.739039
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.74085
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.741513
Stopping. Best iteration:
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.736927

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05125
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0083
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.969754
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.938662
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.910253
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.887996
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.867958
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.854405
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.841664
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.833854
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.82541
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.818763
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.813814
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.811822
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.807589
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.805883
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.80247
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.801236
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.798766
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.797636
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.798569
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.804362
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.804826
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.804177
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.806187
Stopping. Best iteration:
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.797636

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05605
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01552
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.981788
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.958359
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.93939
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.925854
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.909907
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.898241
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.888912
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.878901
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.872656
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.862775
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.860014
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.855002
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.854881
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.853091
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.855877
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.857173
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.862751
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.865268
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.86681
Stopping. Best iteration:
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.853091

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04868
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00465
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.975868
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.950214
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.922564
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.901882
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.878789
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.86601
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.849305
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.830002
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.82034
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.809602
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.802674
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.797638
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.792591
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.784703
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.780479
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.77758
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.769088
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762646
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.754599
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.748971
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.746353
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.737816
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.729888
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.722943
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722154
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.716679
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.712451
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.715009
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.712756
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.711845
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.714302
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.713663
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.712095
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.714869
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.717956
Stopping. Best iteration:
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.711845

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06167
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.025
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.989331
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.956713
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.930566
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.91092
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.890446
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.870922
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.85174
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.843896
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.836796
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.823386
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.821913
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.812178
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.805679
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.795885
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.787627
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.789104
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.788383
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.786013
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.785746
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.777669
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.777799
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.774598
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.773796
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.77037
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.765423
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.769
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.757541
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.758974
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.758657
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.75926
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.759191
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.762913
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.757541

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05207
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01429
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.979968
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.947191
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.917998
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.898539
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.880995
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868246
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.856542
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.839566
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.836946
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.823684
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.807978
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.802774
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.788623
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.775553
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.76458
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.750599
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.748914
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.746992
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.743486
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741734
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741218
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.73872
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.741007
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.74169
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.739043
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.734182
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.737211
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.739222
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.735263
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.735255
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.736786
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.734182

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05081
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01108
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.972929
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.945168
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.923094
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.896842
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.878291
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.856814
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.837149
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.821791
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.815444
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.799163
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.786942
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.781534
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.775753
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.76723
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.761084
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.756682
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.749057
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.745454
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.739014
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.730793
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731662
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.729597
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.724819
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.720723
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.718209
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.712273
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.708878
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.706992
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.703089
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.703818
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.701884
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.701167
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.701305
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.701376
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.702852
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.700772
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.697596
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.695586
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.694248
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.695169
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.693548
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.69394
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.697648
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.700726
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.707888
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.7099
Stopping. Best iteration:
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.693548

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04869
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01296
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976103
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.934219
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.910453
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.898035
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.874491
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.860328
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.845983
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.831888
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.818568
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.811789
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.808036
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.805927
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.79321
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.787306
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780547
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.778796
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.772931
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.769482
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.771532
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.76647
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.772132
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.77272
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.769522
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.771066
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.774497
Stopping. Best iteration:
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.76647

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05496
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0131
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.982861
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.944257
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.922087
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.905574
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.884891
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.866001
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.852661
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846934
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.837109
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.83325
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.818742
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.814171
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.80145
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.796897
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.787558
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.78503
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.784027
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.780884
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.774672
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.772627
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.766647
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.764326
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.766978
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.766534
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.769015
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.769446
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.771653
Stopping. Best iteration:
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.764326

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05004
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00364
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.969367
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.935169
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.910969
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.887086
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.869165
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.854079
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.842157
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.831369
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.824253
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.814489
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.8084
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.802012
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.794852
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.790112
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.784047
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.778651
[18]	validation_0-merror:0.233333	validation_0-mlogloss:0.775596
[19]	validation_0-merror:0.233333	validation_0-mlogloss:0.770084
[20]	validation_0-merror:0.233333	validation_0-mlogloss:0.769193
[21]	validation_0-merror:0.233333	validation_0-mlogloss:0.764492
[22]	validation_0-merror:0.233333	validation_0-mlogloss:0.760707
[23]	validation_0-merror:0.233333	validation_0-mlogloss:0.75911
[24]	validation_0-merror:0.233333	validation_0-mlogloss:0.757964
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.757463
[26]	validation_0-merror:0.233333	validation_0-mlogloss:0.757312
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.756741
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.756437
[29]	validation_0-merror:0.233333	validation_0-mlogloss:0.758194
[30]	validation_0-merror:0.233333	validation_0-mlogloss:0.760599
[31]	validation_0-merror:0.216667	validation_0-mlogloss:0.762986
[32]	validation_0-merror:0.216667	validation_0-mlogloss:0.76431
[33]	validation_0-merror:0.216667	validation_0-mlogloss:0.764806
Stopping. Best iteration:
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.756437

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0487
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00843
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.971291
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.939222
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.915326
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.894138
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.873171
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.86037
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.847723
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.837394
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.827033
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.814944
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.807197
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.795246
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.793752
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.790701
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.792987
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.788107
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.786824
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.78328
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.78192
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.776882
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.780036
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.779771
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.784628
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.782394
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.78787
Stopping. Best iteration:
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.776882

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04838
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00959
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976829
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.94484
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.917021
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.891941
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.876981
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.860498
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.845817
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.832188
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.822773
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.817657
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.814499
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.80933
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.80627
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.808027
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.799881
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.793244
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79047
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.790879
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.794267
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.797932
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.801092
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.804712
Stopping. Best iteration:
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79047

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04853
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00699
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977265
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.947368
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.925023
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.903254
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.883085
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864898
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.850028
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.834194
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.823377
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.811888
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80389
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.794286
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788019
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.782788
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.771701
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.770088
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.761789
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.75698
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748159
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.744052
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.740724
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.732478
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.724109
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.71893
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.719796
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.716626
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.712182
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712566
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.715177
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.713872
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.714277
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.711758
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.712703
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.71011
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.712195
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.718054
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.713602
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.709553
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.708278
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.703017
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.705152
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.706557
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.70554
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.702496
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.703409
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.706235
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.704657
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.700676
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.704014
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.70318
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.702072
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.704179
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.706327
Stopping. Best iteration:
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.700676

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02308
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.987669
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.955236
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.929567
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.909256
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.888786
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.875569
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.857621
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.851213
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.84271
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.828755
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.824904
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.816721
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810009
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799494
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.795709
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.797809
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.793252
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.787428
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.783157
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.774687
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.774714
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.770093
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.768028
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.766968
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.761859
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.75758
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.74623
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.745729
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.74735
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.751842
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.751805
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.747319
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.754816
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.745729

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06106
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02791
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.992644
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.959458
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938262
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.917092
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.897555
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.883832
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.868824
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.856185
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849692
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.835948
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.821434
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.815309
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800596
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784829
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774148
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.767049
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.764429
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.759817
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.762927
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.763795
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.761622
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.758571
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.759437
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.754521
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.749283
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.743374
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.736577
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.736782
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.733007
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.731452
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.734096
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.737139
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.735
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.736808
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.736191
Stopping. Best iteration:
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.731452

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04994
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00956
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.977783
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.949486
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.926985
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908089
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.884402
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.864225
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.846914
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.825713
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.815699
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.797978
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.788708
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.784563
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.776699
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.767879
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.760071
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.754579
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.749741
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.749484
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.739461
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.732772
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.72795
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72599
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.721797
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.721769
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.719679
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.71459
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.712238
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.71294
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.713619
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.714045
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.712203
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.713281
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.71485
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.717154
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.718312
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.714822
Stopping. Best iteration:
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.712203

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04706
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.00981
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.971813
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.935603
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.916133
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.902948
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.879699
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.861566
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.848841
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.836323
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.822335
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.814561
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.809024
[13]	validation_0-merror:0.416667	validation_0-mlogloss:0.799069
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.785969
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.781867
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.776278
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.772183
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.766334
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.759568
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.75848
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.758313
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.761432
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.760733
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.760044
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.762217
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.763973
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.758313

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05065
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01378
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.980705
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.947037
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.925882
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.90887
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.884563
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.865948
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.851828
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.845784
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.837378
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.832137
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.824181
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.821774
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.81363
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.804104
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.793024
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.786905
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.783683
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.774534
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.767188
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.763561
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.758843
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.758015
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.75928
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.760098
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.761377
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.761629
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.761855
Stopping. Best iteration:
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.758015

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04541
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.0013
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.964916
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.935007
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.91096
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.889581
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870509
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.857614
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.843608
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829595
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.819284
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.810731
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.803097
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.797014
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.792052
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.785774
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775108
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.770634
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.765509
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759331
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.755628
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.751212
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.749409
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.748249
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.745165
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.739417
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.738507
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.735371
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.734904
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.734251
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.731194
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.730558
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.730426
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.730756
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.731581
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.731861
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.732258
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.731824
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.730426

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05025
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00749
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.969765
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.94151
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.916654
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.899561
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.879189
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864577
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.850386
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.837451
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.826976
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818541
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.811785
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.805719
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.801717
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.796633
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.791994
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.792646
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.790313
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.785278
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.788486
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.784276
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.7867
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.783411
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.781499
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.781189
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.780429
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.779952
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.780015
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.779258
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.782378
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.785887
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.785223
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.786034
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.786972
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.779258

[0]	validation_0-merror:0.283333	validation_0-mlogloss:1.04665
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00775
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.974587
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.94469
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.919383
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.901823
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.878945
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.862073
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.849863
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.836961
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.825259
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.819319
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.813368
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.808299
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.805149
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.801231
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.803205
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.801343
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.798403
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.799362
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.795595
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.797383
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.798419
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.797148
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.798386
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.794533
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.796654
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.796028
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.795306
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.795811
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.794508
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.791448
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.792365
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.795073
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.793223
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.794757
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.791847
Stopping. Best iteration:
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.791448

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04875
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01128
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977604
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.9485
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925836
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.906309
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886593
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.870288
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858594
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.840963
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.830353
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820357
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.811732
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.804721
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798797
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791247
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.777353
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772645
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.766114
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.762087
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.750822
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.745576
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740867
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.729831
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.724073
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.719509
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.721242
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.71048
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.708952
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.710754
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.711073
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.713034
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.711471
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.712826
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.708952

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06342
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02313
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.989311
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.95741
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.934952
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.915377
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.896204
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.881327
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.861047
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.851969
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.842832
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.829224
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.826949
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.818603
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.810662
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.804983
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.794506
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.79192
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.791355
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.78417
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.776725
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.774746
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.775659
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.77311
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.769741
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.773117
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.766004
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.765669
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.760793
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.758974
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.75885
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.758864
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.759584
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.7577
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.7635
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.767458
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.769583
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.77223
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.779239
Stopping. Best iteration:
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.7577

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.996259
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965122
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.943406
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.923978
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.907268
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.892728
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.877898
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.865556
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.857978
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.84724
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.83135
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.823913
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.816016
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.806039
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.799064
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.792533
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.790052
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.787124
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.782839
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.776972
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775929
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.768783
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.766546
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.764649
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.757717
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.755977
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.750769
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.7496
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.745885
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.744025
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.744452
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.744442
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.743176
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.742764
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.744931
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.742327
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.744043
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.740132
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.736659
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.733091
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.73751
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.735259
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.733436
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.7321
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.737261
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.737478
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.73631
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.734033
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.738556
Stopping. Best iteration:
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.7321

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04891
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01104
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.97869
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.95141
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.931734
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.913056
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.890202
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868703
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.847794
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.831002
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.819583
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.805298
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.792989
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.785536
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.781543
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.771808
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.763337
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.760562
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.752804
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.753032
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.743548
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.737426
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.729553
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.722859
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.715587
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.714793
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.711392
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.705765
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.704313
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.707284
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.705909
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.705456
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.706107
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.706496
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.704313

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04993
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01428
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.978936
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.944791
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.919778
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.900124
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.883918
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.874249
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.862959
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.851979
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.835123
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.826493
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.819726
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.811615
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.796665
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.79039
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.783757
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.779326
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.775509
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.768128
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.769924
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.766003
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.773381
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.770901
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.770294
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.772134
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.770662
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.766003

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01436
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985125
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.95443
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.937296
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.921842
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.900886
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.883145
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.872664
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.866097
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.862658
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.854146
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.845971
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.842077
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.827431
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.817975
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.8071
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.796816
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.793684
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.784394
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.780427
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.77817
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.77044
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.770995
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.7704
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.769131
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.763959
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.763133
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.768387
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.768811
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.770917
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.77614
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.772705
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.763133

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05019
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01283
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.982821
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.955654
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.931323
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.912851
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.897556
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.882415
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.870066
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.8564
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.845594
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.83766
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.831718
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.825026
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.819344
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.81193
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.8061
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.800202
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.795159
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.793326
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.786107
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.781984
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.777477
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.771843
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.766909
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.762274
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.760421
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.758207
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.754808
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.755247
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.754363
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.753681
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.751918
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.753217
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.752816
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.753237
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.754137
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.752789
Stopping. Best iteration:
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.751918

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0493
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.00969
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.974506
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.950864
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.9232
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.90529
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.886091
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.869641
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.852898
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.838944
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.827336
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.824234
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.813967
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.812165
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.80514
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.803921
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.798973
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.799301
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.801058
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.800523
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.802152
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.797538
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.798995
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.79367
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.790115
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.788624
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.786101
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.78975
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.789261
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.788717
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.785943
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.787937
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.790628
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.792739
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.793769
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.794034
Stopping. Best iteration:
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.785943

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05059
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01231
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.974831
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.952651
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.933096
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.91056
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.895546
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.878111
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.863888
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.856735
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.845184
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.834441
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.825964
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.824065
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.82389
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.824193
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.825221
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.820574
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.819736
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.816009
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.812135
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.807744
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.807071
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.805369
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.801809
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.798157
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.798156
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.797871
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.796348
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.791081
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.790793
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.782322
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.77601
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.77403
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.769728
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.768709
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.767307
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.769567
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.768488
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.770633
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.774633
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.77811
Stopping. Best iteration:
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.767307

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04813
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980018
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.950213
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.925624
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904891
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88571
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869126
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855019
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.837473
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.824228
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.816265
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.807594
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.796192
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792191
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784901
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.774514
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768653
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.76258
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.756139
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749386
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.744945
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.741606
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.73432
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.72645
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.720543
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.719634
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.713322
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.7102
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.710029
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.710371
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.70996
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.711305
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.708712
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.708247
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.709373
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.71219
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.717092
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.712283
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.71083
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.708247

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06528
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02615
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.99409
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961106
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.93792
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.91849
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.897934
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.883014
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.863994
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.854946
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.844687
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.830844
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.828282
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.814619
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.80635
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.800585
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.787926
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.782571
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.778735
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.772812
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.766371
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.761234
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.759661
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.755927
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.753895
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.759225
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.751693
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.748602
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.747515
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.743869
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.744291
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.745857
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.742405
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.73807
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.73878
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.74092
[36]	validation_0-merror:0.4	validation_0-mlogloss:0.742372
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.745038
[38]	validation_0-merror:0.4	validation_0-mlogloss:0.752754
Stopping. Best iteration:
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.73807

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06089
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999297
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970285
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.945141
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925114
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.907486
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.892631
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.876408
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.859971
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853219
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.841621
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.82582
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.819285
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.807288
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.798964
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.791887
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.783676
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.782707
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.774465
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.77407
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.767944
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.762709
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.755475
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.75074
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.747275
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.744685
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.743141
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.739936
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.737094
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.734629
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.732836
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.732259
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.735825
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.736071
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.73661
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.738598
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.736023
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.732259

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05083
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01259
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978489
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.949938
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.926992
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.905633
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.880039
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.861797
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.843376
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.827234
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.815034
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.801581
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.786103
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.778048
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.771279
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.760107
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.75467
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.754747
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.751322
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.748793
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743247
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.738494
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.734179
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727439
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.724143
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.724467
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.7219
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.717642
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.714336
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.716155
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.714943
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.714967
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.714021
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.715803
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.715957
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.71363
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.715379
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.716369
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.713781
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.713638
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.713753
Stopping. Best iteration:
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.71363

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05653
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01951
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984362
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.953769
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.930781
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.914705
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.893409
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.88235
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.870536
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854238
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.840996
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.833665
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82522
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.816156
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.809837
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.806159
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.798944
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.792464
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.786071
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.782893
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.784028
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.778066
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.779802
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.77585
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.777838
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.776954
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.769919
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.767764
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.768271
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.771699
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.770967
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.769723
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.770042
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.767764

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994168
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.9616
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.939901
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.923236
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.903063
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885446
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.874622
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.867067
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.852154
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.842836
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.835124
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.827932
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.819746
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.815203
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.812816
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.810124
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.805257
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.791668
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.788445
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.790236
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.785656
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.781968
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.781221
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.782767
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.781702
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.779763
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.781592
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.78015
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.780248
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.780068
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.779883
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.779763

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01041
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977719
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951506
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.928932
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.910876
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.893059
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.880026
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.86572
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.8543
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.845028
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.834624
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.826672
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.817148
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.808578
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.801029
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.794447
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.789096
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.784964
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.784832
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.781807
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.777896
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.771874
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.767646
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.765333
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.761625
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.75812
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.753051
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.750593
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.746943
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.745776
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.74247
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.741159
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.738883
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.742488
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.741944
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.74082
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.741027
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.742917
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.738883

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.048
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00805
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.97455
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.945132
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.919278
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.897479
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.877649
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.861986
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.848388
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.839401
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.826711
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.818806
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.814636
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.806256
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.802874
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.796529
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.789158
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.787196
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.781753
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.779263
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.777884
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.775217
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.770571
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.769144
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.766687
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.766107
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.768038
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.763472
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.765396
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.763751
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.767303
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.770108
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.770373
Stopping. Best iteration:
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.763472

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0529
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978067
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957385
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.931194
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.908872
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.891205
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.878814
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.865076
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.857926
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.845094
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839453
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.832131
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.823605
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.820685
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.815844
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.81561
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.811275
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.809245
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.806354
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.803129
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.798497
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.796372
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.793038
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.792091
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.791513
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.788424
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.785641
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.78046
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.777136
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.775547
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.776025
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.772276
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.769128
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.768431
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.766744
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.766278
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.762876
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.762138
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.761481
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.761863
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.761206
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.76209
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.760924
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.762602
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.762082
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.763442
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.763517
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.764204
Stopping. Best iteration:
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.760924

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05692
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01215
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.98075
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.957115
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.929859
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.905851
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.888176
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873387
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.854842
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.838351
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.825383
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818343
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.809114
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.800187
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.795418
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.782865
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773262
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767061
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757972
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.751676
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.741776
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.735348
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.727575
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.717955
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.707466
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.70039
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.700221
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.695197
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.695328
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.691631
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.686516
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.687404
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.684374
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.68587
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.682112
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.679026
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.67908
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.679552
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.675773
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.67262
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.66501
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.65959
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.658362
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.655994
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.65095
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.646667
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.646753
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.648397
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.64301
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.64445
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.645307
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.641073
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.637005
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.638897
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.640943
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.642153
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.641613
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.634211
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.636617
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.63685
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.638696
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.638642
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.640709
Stopping. Best iteration:
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.634211

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06367
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02924
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.998867
[3]	validation_0-merror:0.45	validation_0-mlogloss:0.968215
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.945518
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.926565
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.907121
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.892129
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.880298
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.870283
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.85955
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.846409
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.84049
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.830858
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.816996
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.810104
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.80411
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.796136
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.788656
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.779019
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.773966
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.765533
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.764531
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.760549
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.757581
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.763561
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.756244
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.75268
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.747726
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.740309
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.739871
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.735326
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.729966
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.729738
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.723239
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.725294
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.725574
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.72536
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.73374
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.7345
Stopping. Best iteration:
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.723239

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05829
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02765
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996339
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.965721
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.939109
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918662
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896109
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.880849
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864545
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847237
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834608
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.823249
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.807978
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801521
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.785574
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.769306
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.760649
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.748162
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.749612
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.739024
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.737706
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.732443
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.729632
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724643
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723027
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.723843
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.714988
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.709535
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.701926
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69333
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.689063
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.68821
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.684497
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.68101
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.679154
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.678711
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.677499
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.674864
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.673366
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.668203
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.664716
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.658669
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.660252
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.656126
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.655045
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.64991
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.649695
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.649099
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.647663
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.649783
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.650388
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.651524
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.648462
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.645396
[54]	validation_0-merror:0.25	validation_0-mlogloss:0.647182
[55]	validation_0-merror:0.25	validation_0-mlogloss:0.647193
[56]	validation_0-merror:0.25	validation_0-mlogloss:0.64432
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.647342
[58]	validation_0-merror:0.25	validation_0-mlogloss:0.650317
[59]	validation_0-merror:0.25	validation_0-mlogloss:0.648315
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.649554
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.652066
Stopping. Best iteration:
[56]	validation_0-merror:0.25	validation_0-mlogloss:0.64432

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05637
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.02647
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992161
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962494
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.94413
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.921344
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.901077
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.882455
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.865987
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.846305
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.834847
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.817689
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.803479
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.79379
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.787068
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.776738
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.769044
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.764145
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757609
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753307
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.744692
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737676
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.726728
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.719281
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.712897
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.709265
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.705663
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.70137
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.696324
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.695315
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.689891
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.686437
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.685729
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.685443
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.683369
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.6794
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.678685
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.679224
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.67468
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.672162
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.670112
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.666264
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.664678
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.663054
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.662741
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.660034
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.662127
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.662893
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.662828
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.665004
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.665264
Stopping. Best iteration:
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.660034

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02448
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994924
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.960939
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.941183
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.925108
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.907552
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.896485
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.88438
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.873334
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.860382
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.851408
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.840368
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.829245
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.816812
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806648
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.798691
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.794282
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.786036
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.779593
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.773602
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.766213
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.769041
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.766381
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.764192
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.762868
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.756619
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.752468
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.753885
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751779
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751403
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.751455
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.748531
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.746865
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.74363
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.738683
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.736409
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.733716
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.738613
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.733889
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.734512
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.735483
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.736313
Stopping. Best iteration:
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.733716

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02872
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00355
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.976736
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.953341
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936879
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.91662
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.901942
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.886389
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.875851
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.869907
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.86255
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.846275
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.830407
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.815914
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.810539
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.803122
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.793431
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.786136
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.771673
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.765651
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.763106
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.760381
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.751484
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.747073
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.743121
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.737025
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.73208
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.730325
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.726778
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.72338
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.720847
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.718126
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.715541
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.713335
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.712178
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.705582
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.70251
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.698993
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.699073
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.697045
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.694574
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.695044
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.691905
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.690857
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.68892
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.688739
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.689077
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.690522
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.689752
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.685787
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.685321
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.684511
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.684231
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.682748
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.679018
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.677096
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.679529
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.680395
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.678314
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.677617
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.680222
Stopping. Best iteration:
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.677096

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05319
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01661
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.98389
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957102
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.933361
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.911513
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894458
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.875597
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.860516
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845637
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.829378
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.820117
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809333
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.797202
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.790178
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781609
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774166
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.768058
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759536
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.753279
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.745298
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.741313
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.73474
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.729869
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.730926
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.726765
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722875
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.72224
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.716456
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712324
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.707787
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.703209
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.701821
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.698117
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.694443
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.694261
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.691714
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.68746
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.683554
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.683267
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.683492
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.681587
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.682911
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.681791
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.680015
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.681544
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.682838
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.683201
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.684862
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.685684
Stopping. Best iteration:
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.680015

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05547
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01987
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990724
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.963656
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941415
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923077
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.907852
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.892961
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.878687
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.868637
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.854829
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.842842
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.83503
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.825436
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.819627
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.809799
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.801889
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792921
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.787396
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.780342
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.7772
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.773177
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.771381
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.766469
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.762256
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.758794
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.752401
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.747633
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.741913
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.7394
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.736421
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.734015
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.73138
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.728442
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.725214
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.721596
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.720556
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.718573
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.713707
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.711679
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.712083
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.70921
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.707983
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.711177
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.70956
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.708149
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.70722
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.707363
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.705574
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.707128
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.707271
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.705555
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.705132
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.707761
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.707151
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.705397
[56]	validation_0-merror:0.333333	validation_0-mlogloss:0.704575
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.703734
[58]	validation_0-merror:0.333333	validation_0-mlogloss:0.704922
[59]	validation_0-merror:0.333333	validation_0-mlogloss:0.704426
[60]	validation_0-merror:0.333333	validation_0-mlogloss:0.704772
[61]	validation_0-merror:0.333333	validation_0-mlogloss:0.704258
[62]	validation_0-merror:0.333333	validation_0-mlogloss:0.703135
[63]	validation_0-merror:0.333333	validation_0-mlogloss:0.703193
[64]	validation_0-merror:0.333333	validation_0-mlogloss:0.706247
[65]	validation_0-merror:0.333333	validation_0-mlogloss:0.705416
[66]	validation_0-merror:0.333333	validation_0-mlogloss:0.70846
[67]	validation_0-merror:0.333333	validation_0-mlogloss:0.708479
Stopping. Best iteration:
[62]	validation_0-merror:0.333333	validation_0-mlogloss:0.703135

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05916
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02611
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994486
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.973997
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950669
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935467
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.918517
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901938
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.890942
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.878065
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.865067
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.8564
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.846713
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.839065
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.833109
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.819132
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.813344
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.806331
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79657
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.791308
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.783043
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.780569
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.772621
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.771419
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.76791
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.764645
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.76021
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.75688
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.753723
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.747998
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.744638
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.740683
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.735037
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.732
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.725831
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.72318
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.718833
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.715379
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.714168
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.713422
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.708933
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.706506
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.704401
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.699395
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.697816
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.697934
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.69643
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.694987
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.694113
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.692963
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.690429
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.687502
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.685235
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.684424
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.683808
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.683154
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.683043
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.68103
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.681158
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.679403
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.676755
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.675768
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.675579
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.674612
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.672182
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.67319
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.673086
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.672828
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.672477
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.669665
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.667637
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.66951
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.669196
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.667481
[74]	validation_0-merror:0.266667	validation_0-mlogloss:0.663667
[75]	validation_0-merror:0.266667	validation_0-mlogloss:0.663738
[76]	validation_0-merror:0.283333	validation_0-mlogloss:0.663297
[77]	validation_0-merror:0.283333	validation_0-mlogloss:0.664775
[78]	validation_0-merror:0.266667	validation_0-mlogloss:0.665114
[79]	validation_0-merror:0.266667	validation_0-mlogloss:0.661539
[80]	validation_0-merror:0.266667	validation_0-mlogloss:0.661686
[81]	validation_0-merror:0.266667	validation_0-mlogloss:0.663476
[82]	validation_0-merror:0.266667	validation_0-mlogloss:0.662947
[83]	validation_0-merror:0.266667	validation_0-mlogloss:0.661937
[84]	validation_0-merror:0.283333	validation_0-mlogloss:0.66145
[85]	validation_0-merror:0.283333	validation_0-mlogloss:0.659872
[86]	validation_0-merror:0.283333	validation_0-mlogloss:0.660654
[87]	validation_0-merror:0.283333	validation_0-mlogloss:0.660972
[88]	validation_0-merror:0.283333	validation_0-mlogloss:0.660416
[89]	validation_0-merror:0.283333	validation_0-mlogloss:0.662241
[90]	validation_0-merror:0.283333	validation_0-mlogloss:0.661684
Stopping. Best iteration:
[85]	validation_0-merror:0.283333	validation_0-mlogloss:0.659872

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05469
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01474
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.983393
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.959914
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.936107
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.913957
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.893557
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.877937
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.860006
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.838192
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826561
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.821562
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.811749
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.803915
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798889
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78568
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774391
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767423
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.758269
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.751965
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.74312
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.73635
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731272
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.72281
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.713302
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.705494
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.704979
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.696962
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.694833
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.690608
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.684501
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.688044
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.686137
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.686707
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.683031
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.679914
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.679939
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.680974
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.679193
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.679219
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.675188
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.670209
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.669799
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.670467
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.669453
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.665877
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.664826
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.664994
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.664339
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.663939
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.665939
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.663539
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.660617
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.663241
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.667804
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.670612
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.671662
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.665018
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.660617

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06367
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.483333	validation_0-mlogloss:1.02837
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.997974
[3]	validation_0-merror:0.45	validation_0-mlogloss:0.967403
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.942679
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.92377
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.90496
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.889763
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.87772
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.86565
[10]	validation_0-merror:0.433333	validation_0-mlogloss:0.853638
[11]	validation_0-merror:0.433333	validation_0-mlogloss:0.841419
[12]	validation_0-merror:0.433333	validation_0-mlogloss:0.835688
[13]	validation_0-merror:0.433333	validation_0-mlogloss:0.827433
[14]	validation_0-merror:0.416667	validation_0-mlogloss:0.815035
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.809366
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.803038
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.79348
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785389
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.775667
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.771003
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.762394
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.759389
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.754376
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.750825
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.754894
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.747545
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.745952
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.739907
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.732093
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.731286
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.728427
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.724755
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.723247
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.716876
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.720779
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.720948
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.72021
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.7284
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.729648
Stopping. Best iteration:
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.716876

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05829
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02834
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.997193
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.968909
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941446
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.9212
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.896138
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883301
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.866173
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.852757
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.840416
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.827819
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.812629
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.807525
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.791931
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.778609
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.768522
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.756069
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.751693
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.742197
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.741036
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.735889
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.733906
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727786
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.725654
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.727634
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.718985
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.713308
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.705851
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.698688
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.693165
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.690615
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.687613
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.685276
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.683102
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.683306
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.682167
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.681013
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.683212
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.67898
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.677759
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.673009
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.673689
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.669322
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.669754
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.663444
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.662908
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.661988
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.65957
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.660988
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.665206
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.667586
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.666382
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.662746
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.65957

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05637
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02126
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987607
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957727
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938391
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915381
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.89566
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.877049
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.862081
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.844777
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.833446
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.815563
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.801071
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.791156
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.784767
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.774427
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.767564
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.764094
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.753786
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.747739
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.741051
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.731845
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.720893
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.714269
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.706828
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.703652
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.700722
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.696024
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.690525
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.689412
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.684224
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.68336
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.679212
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.67911
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.676873
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.671358
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.672174
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.66976
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.666592
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.663962
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.663856
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.660834
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.658755
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.658149
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.653941
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.651579
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.653307
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.651665
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.653154
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.648615
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.64699
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.65075
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.645366
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.645355
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.645943
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.645939
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.646968
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.644517
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.640606
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.636759
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.638572
[61]	validation_0-merror:0.25	validation_0-mlogloss:0.640406
[62]	validation_0-merror:0.25	validation_0-mlogloss:0.640783
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.636037
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.634022
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.630866
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.631001
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.630399
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.632511
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.631418
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.631532
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.630424
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.631509
Stopping. Best iteration:
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.630399

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05546
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02395
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.992694
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959635
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.939869
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.922923
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.901291
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.890537
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879516
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.865606
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852578
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.840965
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.829966
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.820024
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.809458
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.800072
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.791854
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.787358
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.779753
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773494
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767299
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.760051
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.760041
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.757298
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.755035
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.754056
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.747562
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.74337
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.742374
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.740686
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.739815
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.738104
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.735704
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.732999
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.731944
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.729579
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.726677
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.723791
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.727252
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.723304
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.724143
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.725818
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.724634
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.718477
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.724003
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.7241
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.72522
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.726205
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.727143
Stopping. Best iteration:
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.718477

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03007
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00499
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.975868
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952913
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936704
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.914921
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900157
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.884397
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.874682
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.868935
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.86326
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.850515
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.834704
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.818084
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.806517
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.801148
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.791659
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.784569
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.771715
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.766451
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.763101
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.759536
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.75158
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.744949
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.742433
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.736225
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.731261
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.729749
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.726338
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.719517
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.71678
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.711283
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.709054
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.706058
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.708516
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.702214
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.698732
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.697094
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.69723
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.694109
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.691432
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.692913
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.692305
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.692369
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.689638
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.69009
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.689688
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.687744
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.686571
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.683523
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.682372
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.68166
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.680792
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.680345
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.677506
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.675868
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.679935
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.680968
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.679013
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.67911
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.681255
Stopping. Best iteration:
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.675868

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05463
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01756
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.986296
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.958132
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.934568
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915419
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897506
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.876489
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.865152
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.848719
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.838916
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829314
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.820507
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.81147
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799488
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787961
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.781379
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773113
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.768718
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.762154
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.756477
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.754098
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.748429
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.740165
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.736057
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.735847
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.732936
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.728779
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.723923
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722462
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.719185
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.716109
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.711252
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.710719
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.705955
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.701866
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.697962
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.693837
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.693793
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.694409
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.691793
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.692556
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.692885
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.694284
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.693123
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.692034
Stopping. Best iteration:
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.691793

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01855
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989064
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961772
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.940064
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.919515
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.903489
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.88863
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.873529
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.863457
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.848874
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839976
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.828067
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.821968
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.810682
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.80288
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.797696
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.792869
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785622
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77898
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.776549
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.771142
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.76483
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.764943
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.760447
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.756985
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.751344
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.750132
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.744629
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.742231
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.737797
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.731992
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.727863
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.725023
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.722149
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.720304
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.717653
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.715135
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.713195
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.712992
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.71051
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.709105
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.709139
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.70744
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.707242
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.706729
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.705764
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.705223
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.704272
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.704964
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.706182
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.705065
[52]	validation_0-merror:0.366667	validation_0-mlogloss:0.707399
[53]	validation_0-merror:0.366667	validation_0-mlogloss:0.707409
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.704272

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05873
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02659
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994819
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975766
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950898
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935575
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.917964
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.907377
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.890409
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.877987
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.870411
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.857516
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.844253
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.836424
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.830658
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.823036
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.811803
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.806304
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.798579
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.793226
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.785752
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.781131
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.776397
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.773624
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.76895
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.766098
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.762808
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.759108
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.754129
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.751482
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.747848
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.745534
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.740972
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.739629
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.737075
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.734075
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.72653
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.722909
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.721157
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.716794
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.714101
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.711859
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.711586
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.708509
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.707837
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.705725
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.704082
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.701479
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.700158
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.698771
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.700101
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.700381
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.698229
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.69733
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.698853
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.699286
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.698076
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.698945
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.696587
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.694931
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.69417
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.69301
[62]	validation_0-merror:0.316667	validation_0-mlogloss:0.689381
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.687874
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.692816
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.694814
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.694543
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.695916
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.694334
Stopping. Best iteration:
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.687874

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05454
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01463
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.9822
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.955615
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.932265
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.913597
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.896397
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.881068
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.8641
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845669
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.83304
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.824186
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.81448
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.804096
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.800566
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787762
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775027
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.765418
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.755715
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.750214
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.74135
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.734275
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.729103
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.717769
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.709359
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.702209
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.70291
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.698828
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.695123
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.692286
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.687759
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.688188
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.684357
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.686321
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.685897
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.682704
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.684282
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.685372
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.683617
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.67934
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.671492
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.666037
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.661187
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.66345
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.661521
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.659438
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.658238
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.657172
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.656226
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.654803
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.657273
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.657033
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.656212
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.659654
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.66375
Stopping. Best iteration:
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.654803

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06395
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02917
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999033
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.970131
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.94552
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.925685
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.905737
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.890792
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.871646
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.857718
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.845871
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.833538
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.828422
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.81873
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.806175
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.802334
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.79539
[17]	validation_0-merror:0.416667	validation_0-mlogloss:0.786497
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.781378
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.773932
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.76808
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.759791
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.758338
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.753083
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.749673
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.749135
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.742151
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.739067
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.734506
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.730969
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.735009
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.735806
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.730953
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.731179
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.725746
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.729963
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.731396
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.728423
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.73608
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.736577
Stopping. Best iteration:
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.725746

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06211
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03224
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00125
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.973782
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.94978
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.929269
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.907372
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.894858
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.878447
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.865768
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.855221
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.842249
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.82703
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.820394
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.805351
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.791987
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.784666
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.772051
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.769471
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.763355
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759767
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.760143
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.758111
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.753436
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.750582
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.753655
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.746449
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.739401
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.73312
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.727464
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.722402
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.71833
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.717759
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.717295
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.719712
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.719864
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.719197
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.717605
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.719082
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.717295

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05637
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02247
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990685
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.964255
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.94683
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.926591
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.907472
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.890389
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.87301
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855407
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.843064
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.827681
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.813753
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.80337
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.796652
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787573
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.77906
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.773453
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.75795
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.751884
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.746557
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.737494
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.726479
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.719109
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.711044
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.711213
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.708034
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.703858
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.697821
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.69663
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.694445
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.693144
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.691144
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.690741
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.688213
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.68286
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.683811
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.680506
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.677314
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.674165
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.671249
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.667723
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.665188
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.663834
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.661742
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.659132
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.661347
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.65971
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.660779
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.659517
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.657708
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.659021
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.656399
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.654436
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.656198
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.65619
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.65732
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.653619
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.648945
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.647836
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.649439
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.650558
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.651281
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.64889
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.646258
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.644583
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.644805
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.644422
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.645539
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.644384
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.645357
[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.647538
[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.648791
[73]	validation_0-merror:0.283333	validation_0-mlogloss:0.647066
[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.646894
Stopping. Best iteration:
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.644384

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05632
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02314
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.991425
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.958696
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.938861
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.921521
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.904508
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.894041
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.880923
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.866914
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.855413
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.842435
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.83135
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.818303
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.806795
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.797761
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.788218
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.78057
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.772881
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.76728
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.761072
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.753212
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.752254
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.746937
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.743764
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.74221
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.735912
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.731694
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.729284
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.727547
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.72689
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.7255
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.723779
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.721314
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.722147
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.720743
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.717366
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.71788
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.721551
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.720385
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.721169
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.722652
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.717366

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03007
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00499
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.977306
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.954358
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936847
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.91666
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.902012
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.888644
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.881385
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.877146
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.871611
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.85782
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.844555
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.827372
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.816203
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.808112
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.802872
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.795601
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.784212
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.779513
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.777332
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.773408
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.765045
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.760177
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.756257
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.751494
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.747239
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.742384
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.739518
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.734168
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.73058
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.729331
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.726375
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.721848
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.722109
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.716142
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.712845
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.710403
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.70889
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.706421
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.703566
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.70544
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.703885
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.704819
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.698131
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.698267
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.697741
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.696523
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.69595
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.69254
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.690421
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.690246
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.688967
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.689291
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.690166
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.688959
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.691577
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.692929
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.691168
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.693104
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.695261
Stopping. Best iteration:
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.688959

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05578
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01882
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.985716
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959843
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.937741
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.917387
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.897914
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.882293
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.86719
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.853065
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842513
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.828249
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.813641
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.804478
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.792855
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.78119
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.775523
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.767473
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759157
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.74844
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.74314
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.739784
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.731444
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.7259
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723112
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.716071
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.712209
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712061
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.703852
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.702989
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.703072
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.702312
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.692525
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.693181
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.689418
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.689997
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.685852
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.684811
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.686856
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.68413
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.684069
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.684201
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.683371
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.68502
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.685334
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.685241
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.683336
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.682567
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.682201
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.681766
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.68408
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.681265
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.682405
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.68146
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.68104
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.679325
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.677878
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.679299
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.678063
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.678266
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.678117
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.678156
Stopping. Best iteration:
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.677878

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05476
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01796
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987693
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962718
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.937965
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.921826
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.904217
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.891091
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.874965
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.861528
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.848994
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839101
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.829631
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.819943
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.80767
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.798418
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.794697
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.788155
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.780741
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773895
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767912
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.763352
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.759997
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.756137
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.750873
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.748069
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.745751
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.738888
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.735735
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.732989
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.730263
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.727212
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.725079
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.725935
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.723082
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.720619
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.720205
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.719751
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.717272
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.716478
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.714104
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.714668
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.717603
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.717879
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.716474
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.718274
Stopping. Best iteration:
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.714104

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02412
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.995513
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.97594
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.947806
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.928278
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.919282
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897538
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.889656
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.877901
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.866785
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.859452
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.849925
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.837891
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.830366
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818243
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.811189
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800721
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79639
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.790447
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.788132
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.783831
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.78267
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.777406
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.770662
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.766744
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.764182
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.760346
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.758117
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.754878
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.752851
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.748945
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.746661
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.744025
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.741975
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.73912
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.733216
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.728812
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.726015
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.725619
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.722265
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.718954
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.717824
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.713995
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.711476
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.711182
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.707913
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.706963
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.705129
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.703947
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.702797
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.701433
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.700641
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.698638
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.698619
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.697528
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.698749
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.69615
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.695196
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.69547
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.695032
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.696097
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.693952
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.69909
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.698134
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.69985
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.701447
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.702935
Stopping. Best iteration:
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.693952

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05697
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01918
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.983916
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.957638
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.932588
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.913455
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.896052
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.880433
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.865129
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.848566
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.835777
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.823891
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.813605
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.803022
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.798481
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786051
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.772503
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765455
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.755578
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.74833
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.738526
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.73198
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.726875
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.716287
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.707441
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.701247
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70007
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.694044
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.691244
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.688493
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.685966
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.686116
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.683435
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.685954
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.688286
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.691311
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.693488
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.691532
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.683435

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06634
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.03355
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00205
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.970242
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.949771
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.928697
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.910432
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.89524
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.877109
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.866093
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.85368
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.840458
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.835255
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.825575
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.813214
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.807723
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.797383
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.791195
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.786256
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.778471
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.773703
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.765794
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.76321
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.759987
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.7567
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.759555
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.749566
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.748694
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.741685
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.733145
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.733117
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.734146
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.729767
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.726209
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.726858
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.730641
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.730242
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.727438
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.734662
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.726209

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06181
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03349
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00254
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.976493
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.952087
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.932493
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.916133
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.899904
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.882185
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.86679
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.855017
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.843249
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.826012
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.818571
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.811271
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.799566
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.793598
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.783967
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.78346
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.77845
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.775468
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.77529
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.772694
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.768757
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.765706
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.763694
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.755956
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.748836
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.740294
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.735009
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.734341
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.730017
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.728951
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.72671
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.726328
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.724132
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.72374
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.720001
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.7166
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.711842
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.708975
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.70303
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.706104
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.702676
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.701593
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.694091
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.694444
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.695378
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.694706
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.693233
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.697032
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.698998
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.699204
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.696128
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.699388
Stopping. Best iteration:
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.693233

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05637
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02384
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.991841
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.966058
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.948646
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.930454
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.911384
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.894372
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.879628
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863447
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.850231
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.833465
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.818049
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.809735
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.802658
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.791885
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.78388
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.777233
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.767117
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.760721
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.753569
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.747017
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.736784
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.730872
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.722261
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.723243
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.720823
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.718669
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.714117
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.713246
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.705599
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.703994
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.699961
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.696712
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.694839
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.690405
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.689706
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.68734
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.685622
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.684472
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.683998
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.67968
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.676461
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.674807
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.675268
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.673049
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.67427
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.672091
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.674942
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.674536
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.671619
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.674668
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.673951
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.673559
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.670963
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.671921
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.673475
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.670959
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.668335
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.665074
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.665415
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.665996
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.667771
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.66689
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.665048
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.662507
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.662095
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.661482
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.661511
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.661381
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.66296
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.663913
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.663337
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.662621
[74]	validation_0-merror:0.266667	validation_0-mlogloss:0.664259
Stopping. Best iteration:
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.661381

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05493
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02386
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.991762
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.960148
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.939114
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.920154
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.903413
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.891289
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.880498
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.867067
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.854143
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.843061
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.833521
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.819476
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.811541
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.80193
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.792484
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.785867
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.781166
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.773682
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.766148
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.761127
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.760373
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.755072
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.751636
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.75079
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.742454
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.737925
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.733081
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.731208
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.730497
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.728499
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.725294
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.723239
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.722256
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.72309
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.720601
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.722276
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.724942
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.721919
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.722131
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.7242
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.720601

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03007
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00499
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.977399
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957182
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.940845
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.920532
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.906043
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.891886
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.88456
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.869279
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.863679
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.849694
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.839241
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.823233
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.815998
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.809228
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.803373
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.795972
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.784036
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.779174
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.775863
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.772202
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.766039
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.762211
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.757316
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.754767
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.749763
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.747393
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.743935
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.742587
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.740473
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.738092
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.73738
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.733968
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.734042
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.729322
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.725916
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.723921
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.725269
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.723761
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.721307
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.723604
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.720258
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.721205
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.719713
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.721466
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.720666
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.717175
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.718169
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.715315
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.717558
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.718727
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.717811
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.717618
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.718917
Stopping. Best iteration:
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.715315

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05912
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02403
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.995271
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.968259
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.948169
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.92899
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.911982
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.898171
[8]	validation_0-merror:0.433333	validation_0-mlogloss:0.886244
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.873287
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.859437
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.850398
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.834789
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.823533
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.814723
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.803935
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.796539
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.78672
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.779657
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.769546
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.764554
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.758892
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754619
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.749152
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74518
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.740643
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.73959
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.740037
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737505
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.738233
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.734301
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.733698
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.734558
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.729737
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.731164
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.732633
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.729662
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.728357
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.725935
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.724687
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.725234
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.721052
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.720701
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.720191
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.721929
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.720343
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.717085
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.715527
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.715423
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.716191
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.714185
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.71226
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.713803
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.709299
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.712005
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.711894
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.712454
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.708683
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.709363
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.706401
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.705199
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.704543
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.703257
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.701765
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.700853
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.702157
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.7028
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.701997
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.700072
[69]	validation_0-merror:0.3	validation_0-mlogloss:0.703334
[70]	validation_0-merror:0.3	validation_0-mlogloss:0.701283
[71]	validation_0-merror:0.3	validation_0-mlogloss:0.70115
[72]	validation_0-merror:0.3	validation_0-mlogloss:0.702147
[73]	validation_0-merror:0.3	validation_0-mlogloss:0.701666
Stopping. Best iteration:
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.700072

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05601
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02212
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992362
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969757
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.945534
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.927752
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.910943
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.895952
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.880061
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.866206
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.853044
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.843404
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.835992
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.822886
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810569
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802698
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.797421
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.789842
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.782247
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.776835
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.774668
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.768519
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.764985
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.760232
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.755599
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.751559
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.748608
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.744534
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.739378
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.737095
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.73637
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.734517
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.731392
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.729567
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.729421
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.72664
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.729119
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.726323
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.726281
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.72572
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.724447
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.724606
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.727671
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.72672
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.726067
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.723477
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.72753
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.727521
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.725926
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.724417
[50]	validation_0-merror:0.366667	validation_0-mlogloss:0.727109
Stopping. Best iteration:
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.723477

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02412
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.994563
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975064
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.948229
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.931659
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.916934
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900914
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.890337
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.882763
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.86947
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.864794
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.854751
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.845178
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.836971
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.829775
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.822792
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.820226
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.813519
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.807162
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.80216
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.798167
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.793577
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.787734
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.783128
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.778644
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.774047
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.76721
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.761898
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.760944
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.755715
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.753215
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.74986
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.743956
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.741877
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.738848
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.737554
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.732381
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.730156
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.728339
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.724219
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.726544
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.723957
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.721601
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.722151
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.721672
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.721505
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.718725
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.717944
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.71708
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.716967
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.712836
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.713112
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.714175
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.710363
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.709422
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.709995
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.707927
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.705806
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.70813
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.709168
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.707696
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.707218
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.710025
Stopping. Best iteration:
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.705806

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05516
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02058
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.986902
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.959577
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.933748
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.913672
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.89626
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.880705
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864198
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847275
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.833941
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.823179
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.812011
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.802284
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797691
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.78529
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.776048
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767462
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.756765
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.74963
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.740383
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.738181
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.733738
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724076
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.714469
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.708572
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.707144
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.69969
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.694763
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.691977
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.688321
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.685953
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.685115
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.684176
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.684584
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.688431
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.691377
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.692346
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.691563
Stopping. Best iteration:
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.684176

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06603
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.03256
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00455
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.972295
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.950131
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.931084
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.911837
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.896937
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.875723
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.865926
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.854451
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.839305
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.83435
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.822499
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.810033
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.805568
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.796225
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.786848
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.782893
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.774905
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.76906
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.760268
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.759062
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.755893
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.752061
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.752762
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.742505
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.739472
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.738853
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.7294
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.730808
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.730249
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.724445
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.721205
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.721329
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.725045
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.723897
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.724399
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.731441
Stopping. Best iteration:
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.721205

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06317
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03297
[2]	validation_0-merror:0.433333	validation_0-mlogloss:1.00295
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975749
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.952215
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.930921
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.911378
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.894867
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.876699
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.860046
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.851161
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.839783
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.823985
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.816807
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.80977
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.798088
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.792081
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.782982
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.784431
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.777371
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.776546
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.770613
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767026
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.762824
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.760628
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.757296
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.748572
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.744931
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.736967
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.731574
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.727157
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.722867
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.722018
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.721164
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.723437
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.723266
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.722846
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.721668
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.72244
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.721164

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05629
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.023
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.98929
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.96207
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939889
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.921416
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.901778
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.883364
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.870313
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.850385
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.839696
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824177
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80969
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.803127
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.795558
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.783441
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774689
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.769935
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759612
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.752827
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.745887
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.739885
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.730858
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.726077
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.721828
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.716838
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.715424
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.711881
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.707028
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.705995
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.699056
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.699195
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.69689
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.694283
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.690674
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.687055
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.687675
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.685329
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.68243
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.68037
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.682121
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.677886
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.672994
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.672349
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.671889
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.673352
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.673695
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.672842
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.675938
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.672689
Stopping. Best iteration:
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.671889

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05817
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02689
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994916
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.964285
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.942478
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.922831
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.907381
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.894374
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.878642
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.863877
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.850536
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.839802
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.830319
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.816284
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.805601
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.797503
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.787721
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.782391
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.777615
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.771412
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.764062
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.759067
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.761196
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.755761
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.751927
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.750047
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.747557
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.742255
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.739742
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.73775
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.735813
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.735558
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.732092
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.731565
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.730766
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.732122
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.727914
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.729822
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.733106
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.73061
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.730254
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.731014
Stopping. Best iteration:
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.727914

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0602
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02954
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00448
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976907
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955616
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.939203
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.917829
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.903387
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.890208
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.882502
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.880635
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.875191
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.86135
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.851909
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.838467
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.832372
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.822843
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.81656
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.812409
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.80522
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.80147
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.796682
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.794253
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.790197
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.786254
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.781906
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.777984
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.778654
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.772839
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.771083
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.771318
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.768965
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.767554
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.762236
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.75858
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.760106
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.760676
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.757308
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.754719
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.754113
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.750875
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.748519
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.747191
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.745746
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.744648
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.744148
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.742754
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.740845
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.739868
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.739078
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.735767
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.735862
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.737946
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.736404
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.736819
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.736857
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.735767

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05908
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02634
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.99714
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.971102
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.951412
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.932375
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.915287
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.901194
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.887454
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.875624
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.865081
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.854588
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.845945
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.830317
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.816882
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.812255
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.799933
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.789782
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.782704
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.775422
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.76997
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.767029
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.763714
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.762595
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.75976
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.754243
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.754269
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.75201
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.750069
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.748767
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.743968
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.742985
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.739747
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.736117
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.733818
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.730762
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.729481
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.729272
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.727225
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.725069
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.724235
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.722912
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.724901
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.723725
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.719606
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.716743
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.714472
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.712545
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.713271
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.71062
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.706653
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.707575
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.706974
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.705599
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.703974
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.703031
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.701964
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.70074
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.698831
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.701448
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.70106
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.700373
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.698692
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.696656
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.696919
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.695613
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.696868
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.695964
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.693542
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.693459
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.693053
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.693526
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.693887
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.694026
[74]	validation_0-merror:0.266667	validation_0-mlogloss:0.693711
[75]	validation_0-merror:0.266667	validation_0-mlogloss:0.693422
Stopping. Best iteration:
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.693053

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05513
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01983
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990578
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.966793
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941737
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923955
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.908105
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.891338
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.877306
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863576
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.851224
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.840962
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.831201
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.823243
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.814924
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.805401
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.800058
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.794395
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.785535
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.778818
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.772666
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.769354
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.762752
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.756865
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.754129
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.750084
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.745664
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.741236
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.737528
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.733634
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.734571
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.73174
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.726721
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.725894
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.723662
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.721984
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.721397
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.720176
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.716799
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.719052
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.71665
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.716173
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.716583
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.716791
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.717269
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.719248
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.721411
Stopping. Best iteration:
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.716173

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02412
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.994563
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975064
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.948388
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.93058
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.915885
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900619
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.890142
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.881612
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.871718
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.866692
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.857118
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.852384
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.842599
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.838746
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.83203
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.827553
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.826921
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.820801
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.813235
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.810188
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.801654
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.797783
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.795003
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.787203
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.781602
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.7784
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.779677
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.775504
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.768831
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.764861
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.763197
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.760739
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.758985
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.755105
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.751439
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.747641
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.746909
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.741732
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.740759
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.738397
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.737079
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.736032
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.731723
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.730528
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.729072
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.725297
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.725606
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.724594
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.724653
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.726302
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.724509
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.722416
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.72305
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.720238
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.720716
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.719442
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.71801
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.720451
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.721586
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.723004
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.725314
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.724736
Stopping. Best iteration:
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.71801

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04886
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00814
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.975241
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.947817
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.921031
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.897801
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.879637
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.862476
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.840889
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.824091
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.81404
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.804663
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.796856
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.788511
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.781314
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.771198
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.763913
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.757702
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.750546
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.743354
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.737994
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.736829
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.730669
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.724751
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.714613
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.709451
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.710028
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.706569
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.706994
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.709111
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.705263
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.704857
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.707146
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.705404
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.705014
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.706817
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.709558
Stopping. Best iteration:
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.704857

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05825
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01619
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976542
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.945719
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.923849
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.904871
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.885408
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.865826
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.850888
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.84413
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.835685
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.823687
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.824466
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.81376
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.800281
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.78801
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.780886
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.782441
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.776335
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.77095
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.770474
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.764579
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.768507
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.764607
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.761065
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765753
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.76252
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.763359
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.766435
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.765869
Stopping. Best iteration:
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.761065

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.04928
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01392
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.985189
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.951421
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.920018
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.898031
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.87853
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.86401
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.850995
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.832824
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.830894
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.818305
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.800898
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.795985
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.783263
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.771622
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.7632
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.747953
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.752605
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.749663
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.748481
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.75292
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.750928
Stopping. Best iteration:
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.747953

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04781
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00445
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.965025
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.941685
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.916971
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.891845
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.868252
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.849743
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.832008
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.815252
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.806149
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.785637
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.775789
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.765925
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.755144
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.751141
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.741745
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.73612
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.727058
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.722884
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.715841
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.705618
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.701025
[23]	validation_0-merror:0.233333	validation_0-mlogloss:0.696753
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.689789
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.688393
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.686454
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.683311
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.683189
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.684099
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.685743
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.691196
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.689387
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.688675
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.683189

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05075
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01382
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.978278
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.938698
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.911848
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.896002
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.882529
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.867295
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.849717
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.840879
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.83358
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.826539
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.822406
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815991
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.807146
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.805166
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.797583
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.796312
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.790512
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.783349
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.781235
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.772888
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.775764
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.772998
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.77061
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.767178
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.767703
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.765502
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.76626
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.767089
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.768563
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.771339
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.773231
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.765502

[0]	validation_0-merror:0.283333	validation_0-mlogloss:1.05041
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00615
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.97621
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.942317
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.923397
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.907792
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.887441
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.869235
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.852693
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.848248
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.839254
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.837884
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.829445
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.820164
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.809696
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.801948
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.795567
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.785236
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.785593
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.774696
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.769238
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.76753
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.762317
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.761398
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.757079
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.757135
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.754912
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.75498
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.758843
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.763662
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.76865
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.767571
Stopping. Best iteration:
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.754912

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.045
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.00199
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.965363
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.935796
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.91164
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.889846
[6]	validation_0-merror:0.266667	validation_0-mlogloss:0.872597
[7]	validation_0-merror:0.25	validation_0-mlogloss:0.855389
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.838828
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.821531
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.805389
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.789939
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.780283
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.767359
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.755527
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.749413
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.748201
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.740882
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.734863
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.729675
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.726049
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.722946
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.720739
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.719678
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.717017
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.71067
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.708448
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.703023
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.701608
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.698863
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.694496
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.691327
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.690574
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.688787
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.687124
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.687103
[36]	validation_0-merror:0.233333	validation_0-mlogloss:0.685494
[37]	validation_0-merror:0.233333	validation_0-mlogloss:0.685587
[38]	validation_0-merror:0.233333	validation_0-mlogloss:0.687169
[39]	validation_0-merror:0.233333	validation_0-mlogloss:0.689949
[40]	validation_0-merror:0.233333	validation_0-mlogloss:0.690801
[41]	validation_0-merror:0.233333	validation_0-mlogloss:0.691319
Stopping. Best iteration:
[36]	validation_0-merror:0.233333	validation_0-mlogloss:0.685494

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04895
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00703
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.970941
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.943127
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.915893
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.894626
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.880108
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.868592
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.862674
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.857274
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852517
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.837166
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.827394
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.815656
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.807347
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.802814
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.797297
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.791033
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.795242
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.799557
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.793473
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.79785
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.799045
Stopping. Best iteration:
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.791033

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05113
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01088
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.97465
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.943371
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.917827
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.897932
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.878475
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.867618
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855503
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.8496
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.840165
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.835579
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.829044
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.827014
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.823725
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.820193
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.817549
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.815395
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.816776
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.817634
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.818263
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.818574
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.817701
Stopping. Best iteration:
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.815395

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04771
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00582
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976973
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.950412
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.923625
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.900934
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.881287
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.86825
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848615
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.829629
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.820199
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.810409
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.80663
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.800821
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.795348
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786435
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.78265
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.774759
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.768588
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.761819
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.751184
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745824
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741139
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.735833
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.726934
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.721614
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.720821
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.716447
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709253
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.709038
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.707864
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.708445
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.711428
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.708826
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.708086
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.71181
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.707864

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06209
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02077
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984785
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.952485
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.927915
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.907353
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.886551
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.867981
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.847704
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.839859
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.830115
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.818154
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.815
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.809165
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.79954
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.788695
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.78525
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.783392
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.77671
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.76847
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.766078
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.755548
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.756635
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.752463
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.749977
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.753345
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.750076
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.755866
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.744753
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.745994
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.744232
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.746445
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.746863
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.747918
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.755035
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.758111
Stopping. Best iteration:
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.744232

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05227
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01599
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.982606
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.951473
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.922104
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.902919
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88565
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.87217
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.85624
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.844708
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.84096
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.830072
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.815932
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.814237
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797205
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.784522
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.777311
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.764103
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.766896
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.767483
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.769751
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.766593
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.763969
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.761651
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.764234
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.766688
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.763557
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.75785
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.750502
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.750694
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.747936
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.748959
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.75012
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.748566
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.748722
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.748661
Stopping. Best iteration:
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.747936

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04908
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00882
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.97103
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.944041
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.920076
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.894997
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.873475
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.852846
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.834562
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.820851
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.809147
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.792381
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.778737
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.770939
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.764423
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.757002
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.750157
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.747632
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.738593
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.732942
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.721143
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.713333
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.706224
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.704214
[24]	validation_0-merror:0.233333	validation_0-mlogloss:0.700022
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.692296
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.690248
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.684378
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.681197
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.682421
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.685906
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.685507
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.686213
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.687198
Stopping. Best iteration:
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.681197

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04879
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01356
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976484
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.936234
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.914336
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.899513
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.882168
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.869779
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.850625
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.835119
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.823086
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.813578
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.807851
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.801937
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.790504
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.782996
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.777955
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.776463
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.769866
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.763295
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.763006
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.755717
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.756687
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.752924
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.748904
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.745242
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741632
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.743723
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.745027
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.748157
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.750505
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.749843
Stopping. Best iteration:
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741632

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05213
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00889
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.980614
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.942842
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.922156
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.90353
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.882032
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.861196
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.849308
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.843894
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.841954
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.839194
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.829263
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.823347
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.81067
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.800642
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.795999
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.787901
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.785297
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.778169
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.77086
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.766919
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.762616
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.762726
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.756517
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.755126
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.755131
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.754975
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.755642
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.754472
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.758622
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.758579
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.752576
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.752911
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.751077
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.754373
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.747236
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.750799
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.749592
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.748699
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.750242
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.753081
Stopping. Best iteration:
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.747236

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.04748
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00433
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.971399
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.93852
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.914867
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.89175
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870608
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.857499
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.841437
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.831653
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.820491
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.80871
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.798208
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.790839
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.780664
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.774298
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.76658
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.759456
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.754178
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.750856
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.747079
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745226
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.742083
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.738769
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.734088
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.732962
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.732677
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.730963
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.730876
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.73076
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.729255
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.724621
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.721893
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.7217
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.721576
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.721004
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.723152
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.723655
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.724873
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.724035
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.719398
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.718524
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.716615
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.714733
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.712855
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.713209
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.713154
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.714903
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.708788
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.709224
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.709078
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.707855
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.704609
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.705987
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.703915
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.704335
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.703049
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.704197
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.702914
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.702903
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.702458
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.70286
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.702279
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.702785
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.702255
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.702584
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.70285
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.703194
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.704258
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.703976
Stopping. Best iteration:
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.702255

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04808
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00622
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.970903
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.943206
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.914255
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.892535
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.877986
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.862735
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851846
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.83804
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.831641
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.826496
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.827621
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.821729
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.824759
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.823453
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.818635
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.820028
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.815825
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.817492
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.81074
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.810807
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.806756
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.811576
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.808043
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.81046
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.811661
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.809352
Stopping. Best iteration:
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.806756

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04744
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00819
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.971698
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.940402
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.90681
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.888246
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.870937
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.859805
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.852833
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.842421
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.833229
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.827483
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.823367
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.815924
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.815648
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.812583
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.810786
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.807082
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.806113
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.802141
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.79873
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.79502
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.792041
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.788116
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.788083
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.785609
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.786626
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.78439
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.781495
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.78545
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.782636
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.789079
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.792379
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.792783
Stopping. Best iteration:
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.781495

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0477
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0074
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977567
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.948626
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.9271
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.905148
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.888782
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.869245
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.852254
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.836373
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.825429
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.813932
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805343
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.795123
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789193
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.780651
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.769321
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.765446
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757186
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.75148
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.742577
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737644
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.73492
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.727097
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.718508
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.713371
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.714724
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.709356
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.70369
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.705476
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.707057
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706958
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.709818
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.713442
Stopping. Best iteration:
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.70369

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02038
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.985375
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.951029
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.925048
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.903554
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.885245
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.871408
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.852867
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.845729
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.837629
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.82722
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.825651
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.816675
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.811637
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799608
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.793824
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792468
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.7857
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.780704
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.778351
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.767124
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.766278
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.760692
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.760003
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.757815
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.752763
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.751376
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.741015
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.739773
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.738467
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.740058
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.737984
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.739013
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.74485
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.751367
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.750225
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.752008
Stopping. Best iteration:
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.737984

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06106
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02791
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994714
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.962407
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.935632
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.914989
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.892737
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.880219
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.863983
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.851493
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.844207
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.829947
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.814123
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808994
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.793209
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.7783
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.767963
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.76383
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.763991
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.760338
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.763547
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.764154
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.76163
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.756494
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.756833
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.754292
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.747975
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.740983
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.732514
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.732417
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.726635
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.726138
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.728005
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.729766
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.728016
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.728324
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.729186
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.726138

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04973
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00856
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.97416
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.947647
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.923049
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903709
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.882666
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864145
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.847604
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.829518
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.820271
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.803021
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.793342
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.786982
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.77916
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.768177
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.758686
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.7539
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.744838
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.741892
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.731489
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.723774
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.718608
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.715676
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.710581
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.705204
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.704073
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.702325
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.699655
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.701753
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.700654
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.698223
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.697494
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.697839
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.701031
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.697456
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.697729
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.693769
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.691769
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.691091
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.693541
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.689972
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.687536
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.689723
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.689598
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.687295
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.691066
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.692458
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.688585
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.690997
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.690738
Stopping. Best iteration:
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.687295

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04811
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01124
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.973495
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.935034
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.916069
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.897435
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.879714
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.868019
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.851914
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.836058
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.823098
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.811712
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.806308
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.799674
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.787482
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.780242
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.774923
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.763898
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.757441
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.755133
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.753077
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.746829
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.755548
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.752447
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.748081
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.748321
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.744915
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.743237
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.743635
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.747061
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.748653
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.753804
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.753052
Stopping. Best iteration:
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.743237

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01197
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.979477
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.943814
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.924631
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.906954
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.883938
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.865646
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.859395
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.854542
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.850847
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.844945
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.834931
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.831801
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.820864
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.809602
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.79929
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.791603
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.787611
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.778156
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.769111
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.768109
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.762652
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.760209
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.756999
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.75419
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.752278
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.750239
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.750588
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.751481
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.754757
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.75458
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.75481
Stopping. Best iteration:
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.750239

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04531
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00281
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.967449
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.936545
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.909169
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.888255
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.871366
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.854844
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.842605
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.82865
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.8204
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.813109
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.807268
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.797122
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.79243
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.785394
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779812
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.774792
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.769991
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.768683
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.767323
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.76282
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.763012
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.762845
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.760134
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.759264
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.755054
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.755618
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.754759
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.756485
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.756994
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.755486
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.749901
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.750372
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.750782
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.748534
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.749161
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.750303
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.751736
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.750579
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.749414
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.748534

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04776
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0027
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.966074
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.934135
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.907663
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.887157
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.869431
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.848824
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.838351
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.827546
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.817474
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.805369
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.796167
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.78803
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.78369
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.779137
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.777479
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.772035
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.772578
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.772904
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.766653
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.76053
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.758381
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.752554
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.75445
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.759422
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.761052
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.760245
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.760114
Stopping. Best iteration:
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.752554

[0]	validation_0-merror:0.266667	validation_0-mlogloss:1.04528
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00739
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.976916
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.948202
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.926919
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.905136
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.88265
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.868101
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.856585
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.846158
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.833871
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.824809
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.816163
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.811524
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.80914
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.808001
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.808285
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.806284
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.803594
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.803277
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.802169
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.799884
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.79643
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.790738
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.79119
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.78599
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.785205
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.782839
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.782135
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.781494
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.783019
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.777582
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.777441
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.77717
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.779104
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.779859
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.778466
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.778533
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.777889
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.77717

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04875
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01121
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977567
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.949096
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.926134
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.905925
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.889145
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.872272
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858968
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.840767
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.829439
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.820361
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.813516
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.804551
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.800331
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.789904
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77524
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769249
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.76252
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.757431
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749139
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.745001
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.739844
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.728456
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.721487
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714747
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.716707
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.706039
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.706275
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707564
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.709043
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.709258
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.70736
Stopping. Best iteration:
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.706039

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06428
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02238
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.989599
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957193
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.935174
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.914429
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.89488
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.880758
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.86096
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.851865
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.842753
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.829972
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.827766
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.818946
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.808251
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.801612
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.790978
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.785398
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.783814
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.776601
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.771695
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.76778
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.767168
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.763571
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.758794
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.760585
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.752688
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.75214
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.750601
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.749229
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.749249
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.750828
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.750624
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.751673
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.757238
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.749229

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.996259
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.966538
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.945973
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.927728
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.911445
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.896579
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.880289
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.867991
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.861798
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.85115
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.835255
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.827845
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.819357
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.81032
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.802339
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.793478
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.794311
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.791479
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.791039
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.790459
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.789232
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.782582
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.780582
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.780083
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.771957
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.770481
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.766946
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.766413
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.762902
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.760399
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.761833
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.765055
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.764643
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.763919
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.763764
Stopping. Best iteration:
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.760399

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04907
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01052
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977855
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.951682
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.929663
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.909241
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.888031
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.86923
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.85063
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.83298
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.82064
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804888
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.792431
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.786163
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.782807
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.774283
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.764839
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.75956
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.74863
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.746956
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.737963
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.731914
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.724006
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.72002
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.714137
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.715751
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.714812
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.708843
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.707196
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.70627
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.705118
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.705102
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.703829
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.704573
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.706332
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.703705
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.707743
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.70489
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.702498
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.701937
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.702443
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.701864
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.700001
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.70055
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.703643
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.704358
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.703578
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.703407
Stopping. Best iteration:
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.700001

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04959
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01519
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980915
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.945639
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.922503
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.901156
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.885609
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.876466
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.863884
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.850232
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.833803
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.826195
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.81877
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.809581
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.797695
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.790572
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.784098
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.779767
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.772463
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.765784
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.76509
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.763253
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.768114
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.762889
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.76032
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765168
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.760934
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.760768
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.763132
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.764917
Stopping. Best iteration:
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.76032

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01454
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.985477
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.954951
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.936736
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.921607
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.900822
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.885648
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875233
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.869453
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.865431
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.858649
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.849421
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.845615
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.833321
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.823393
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.813688
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.803768
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.800458
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.789323
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.786059
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.783872
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.776839
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.771912
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.77044
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.769127
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.767738
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.767492
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.769155
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.771037
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.771024
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.770823
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.768146
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.767492

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05116
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01327
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.981941
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.954992
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.930274
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.911761
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896306
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.882235
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.869494
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.858196
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.848855
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839971
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.832926
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.826005
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.821234
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.810311
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.803683
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.79674
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.793084
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.786193
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.782275
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.778346
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.777685
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.77248
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.769432
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.767915
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.767915
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.766344
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.766698
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.763137
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.762576
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.763282
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.761107
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.759636
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.761479
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.761312
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.761009
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.761014
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.756662
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.75606
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.756223
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.754359
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.752355
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.75342
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.753309
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.75278
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.75123
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.750022
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.743968
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.741823
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.743098
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.740281
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.734771
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.733855
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.733236
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.73077
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.730924
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.729192
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.729566
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.729265
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.727655
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.725248
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.726694
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.725984
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.72668
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.727296
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.728483
Stopping. Best iteration:
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.725248

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04787
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00745
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.972267
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.942822
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.919725
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.89917
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.879173
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.861702
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848028
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.836733
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.828497
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.824604
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.814481
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.811647
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.809183
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.805205
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.799086
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.800653
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.794676
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.795903
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.793792
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.791211
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.787844
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.788009
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.789541
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.787217
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.790023
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.793748
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.79298
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.79145
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.793196
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.787217

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05152
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01219
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.979022
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.95128
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932246
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.914135
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897286
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.881259
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.8679
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.859163
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.847832
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.841485
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.837728
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.832612
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.827322
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.830309
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.823513
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.820665
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.811657
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.809922
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.805545
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.801298
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.800987
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.797435
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.793858
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.792055
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.790608
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.78709
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.782661
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.779548
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.777246
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.773164
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.76893
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.767153
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.766291
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.767082
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.765322
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.764123
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.766448
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.7673
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.768951
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.770036
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.774442
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.764123

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04813
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980018
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.949569
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.925552
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904728
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.888249
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.872475
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.859133
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.841374
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.829492
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.821349
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.812931
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.802411
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.798137
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.790866
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.779829
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.773238
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.765655
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.759196
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.752671
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.748891
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.745234
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.738275
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.730304
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.724332
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.723415
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.717055
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.713539
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.712329
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.712395
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.709245
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.709967
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.710268
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707805
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.709771
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.712054
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.716817
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.712002
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.710644
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707805

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06528
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02615
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.994072
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.961102
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.937697
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.918299
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.898632
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.883762
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.86374
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.854732
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.844426
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.831711
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.829222
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.819682
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.811633
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.802282
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.790711
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.785356
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.782208
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.776337
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.768907
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.762818
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.761374
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.758554
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.756137
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.758598
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.75214
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.749373
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.747385
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.743987
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.744524
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.74622
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.747082
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.74532
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.746563
Stopping. Best iteration:
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.743987

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06089
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999297
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971465
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.946962
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.926604
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.90811
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.893351
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.877225
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.860803
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.85403
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.842435
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.827337
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.820861
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.809804
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.799708
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.792592
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.784326
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.783365
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.775697
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.775429
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769434
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.764402
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.757904
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.752596
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.749129
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.743259
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739566
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.736165
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.733543
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.72871
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.726541
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.725709
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.728774
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.728518
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.728608
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.72908
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.726327
Stopping. Best iteration:
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.725709

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0504
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01693
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98236
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.954865
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.934621
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.913307
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.891074
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.871145
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.854435
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.837677
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.824903
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.809071
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.795899
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.787638
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.780781
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.772624
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.766068
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.766097
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.763544
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.760333
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.755458
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.755012
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.750264
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.743271
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.740099
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.734022
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.732331
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.726407
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.723047
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.724324
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.722436
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.722852
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.721709
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.721218
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.721488
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.719393
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.719908
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.722686
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.72008
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.719114
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.718765
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.716464
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.712642
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.711886
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.712466
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.709466
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.709996
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.711018
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.710828
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.70881
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.708652
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.711558
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.710566
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.70822
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.708453
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.708358
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.710716
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.708116
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.702177
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.699541
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.700729
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.70187
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.703026
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.703144
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.702617
Stopping. Best iteration:
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.699541

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05652
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.01859
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.984361
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.953364
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.929076
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.913488
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.89973
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.888422
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.874703
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.85837
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.845216
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.836498
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.827655
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.818195
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.810388
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.806554
[16]	validation_0-merror:0.416667	validation_0-mlogloss:0.799199
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.792347
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785486
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.779472
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.778957
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.773499
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.774553
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.770158
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.767836
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.768764
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.761439
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.759408
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.76105
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.76214
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.764567
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.763284
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.763583
Stopping. Best iteration:
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.759408

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994172
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.962305
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.940536
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.922579
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.902344
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.885278
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.8746
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.867553
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.852111
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.842873
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.832325
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.827329
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.819188
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.813419
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.809972
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.806094
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.801757
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.790992
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.786307
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.788011
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.783939
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.780572
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.779954
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.782766
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.777408
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.774916
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.776828
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.774125
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.77455
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.771458
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.770056
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.767234
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.766526
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.768828
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.769067
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.767699
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.763993
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.76355
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.761412
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.761384
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.759809
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.760384
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.760877
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.761859
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.761482
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.759634
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.758905
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.759487
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.7598
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.761214
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.765678
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.764133
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.758905

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05142
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01449
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.983726
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.956969
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.935971
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.91637
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.901132
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.885857
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.872996
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.862261
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.853264
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.844428
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.837767
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.828005
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.820717
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.816218
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.814265
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.81054
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.809855
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.807373
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.808567
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.808002
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.803028
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.802041
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.798923
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.796928
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.796042
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.79553
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.791591
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.789644
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.785564
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.784753
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.780545
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.776872
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.774237
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.77371
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.770288
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.769486
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.769385
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.770215
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.770707
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.769145
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.766655
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.763723
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.763072
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.760602
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.760225
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.758551
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.758749
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.75686
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.756383
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.758097
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.755764
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.756414
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.754407
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.753224
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.752755
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.750508
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.749403
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.747449
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.745304
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.746827
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.746588
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.744033
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.745439
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.744664
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.747237
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.748695
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.745817
Stopping. Best iteration:
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.744033

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04766
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00744
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.973823
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.945062
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.919748
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.898083
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.882034
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.867262
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.857974
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845006
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.836445
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.832455
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.823303
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.821263
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.812782
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.809506
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.804508
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.800448
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.797728
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.791676
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.789429
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.789962
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.792995
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.791746
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.790371
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.791255
Stopping. Best iteration:
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.789429

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0529
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01442
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978862
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957423
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.92727
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.9075
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.892514
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.874139
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.86303
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.851154
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.839131
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.835577
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.829146
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.825634
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.822354
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.81498
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.81242
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.804452
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.799847
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.799536
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.793128
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.787258
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.785416
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.782073
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.78133
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.779551
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.777442
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.775833
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.772468
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.770207
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.768022
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.76577
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.766458
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.766552
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.76639
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.767193
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.765035
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.763856
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.763162
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.76306
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.764015
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.76171
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.761024
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.760188
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.760916
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.760119
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.758398
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.759428
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.760828
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.761235
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.761425
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.762309
Stopping. Best iteration:
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.758398

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04941
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00654
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976123
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.948274
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.922325
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.900979
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.878937
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.862739
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.840637
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.821384
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.808098
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.795654
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.786741
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.778554
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.768329
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.760727
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.754877
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.75066
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.745078
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.736725
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.731864
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.731541
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.727526
[23]	validation_0-merror:0.233333	validation_0-mlogloss:0.717419
[24]	validation_0-merror:0.233333	validation_0-mlogloss:0.708552
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.701689
[26]	validation_0-merror:0.233333	validation_0-mlogloss:0.701509
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.695293
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.691465
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.692494
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.693393
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.70088
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.700632
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.700735
Stopping. Best iteration:
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.691465

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06081
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01793
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.980909
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.95194
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.928813
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.91067
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.888473
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.876017
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.862119
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.857228
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.848987
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.84168
[12]	validation_0-merror:0.433333	validation_0-mlogloss:0.837868
[13]	validation_0-merror:0.416667	validation_0-mlogloss:0.826165
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.814331
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802767
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.797752
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.799806
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.794606
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.786045
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.787109
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.778472
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.780231
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.777464
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.778661
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.780667
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.779946
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.783829
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.785326
Stopping. Best iteration:
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.777464

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05396
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0169
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.987334
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951521
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.91914
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.897612
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.880003
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.863367
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851683
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.835763
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.835714
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.818173
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.800715
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.797362
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.781619
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.768661
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.75895
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.744806
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.747878
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.743924
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.740572
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.743841
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741242
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.740575
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.739992
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.737477
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.74437
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.742448
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.743735
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.745412
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.74706
Stopping. Best iteration:
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.737477

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04663
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00766
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.967469
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.940303
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.914875
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.890171
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.870213
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.850275
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.831692
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.818451
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.808398
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.789398
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.779949
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.773146
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.763389
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.7569
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.751076
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.747434
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.73587
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.735014
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.722891
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.714943
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.710799
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.707202
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.700454
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.701448
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.700494
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.696592
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.698279
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.698341
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.695772
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.699755
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.701577
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.702993
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.702889
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.701076
Stopping. Best iteration:
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.695772

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0534
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01657
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.979205
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.936541
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.908933
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.889273
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.875044
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.858306
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.840155
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.831431
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.821249
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.808501
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.800847
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.795136
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.781938
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.776915
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.771202
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768421
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.765775
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.764958
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.764578
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.762453
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765464
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.765589
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.763242
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.761462
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.761778
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.758955
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.758641
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.76194
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.762565
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.763475
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.764028
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.767222
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.758641

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05535
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01326
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.986883
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.952594
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.930285
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.916691
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.894976
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.87788
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.869821
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.863473
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.857003
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.850777
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.843591
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.840594
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.839083
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.833529
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.828803
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.818956
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.819863
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.817441
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.812365
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.817912
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.81243
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.810523
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.813051
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.810603
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.812416
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.810319
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.810648
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.815183
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.820726
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.82001
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.82063
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.810319

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04464
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:0.99907
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.961784
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.933423
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.911164
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.885808
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.865971
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.847671
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.827071
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.810963
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.7899
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.777711
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.761504
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.75127
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.744178
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.73711
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.730406
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.729016
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.725702
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.72289
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.719017
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.71543
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.706379
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.701524
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.697136
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.694862
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.691383
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.689144
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.688952
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.688179
[30]	validation_0-merror:0.233333	validation_0-mlogloss:0.686555
[31]	validation_0-merror:0.233333	validation_0-mlogloss:0.68861
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.685551
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.683762
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.685718
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.684239
[36]	validation_0-merror:0.233333	validation_0-mlogloss:0.6852
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.686324
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.686171
Stopping. Best iteration:
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.683762

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04941
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00753
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.970148
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.937534
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.908645
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.885352
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.868099
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.853501
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.843832
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.834694
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.827537
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.819383
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.817269
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.80414
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.80736
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.80278
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.800708
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.794053
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.794262
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.792751
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.798593
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.800712
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.794308
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.797363
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.792475
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.794082
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.797558
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.794262
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.798351
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.803719
Stopping. Best iteration:
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.792475

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05642
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01499
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.982193
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951308
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.933612
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.921025
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.908794
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.89559
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.887889
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.882571
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.87222
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.863333
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.855828
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.853935
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.854294
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.853695
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.85543
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.857922
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.864517
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.866662
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.869227
Stopping. Best iteration:
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.853695

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04815
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00447
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.975669
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.949169
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.921591
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.899988
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.876805
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.863851
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.846145
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.827272
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.817594
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.810876
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.806507
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.801156
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.796757
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.789211
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.784442
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.777018
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.772036
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.76554
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.758397
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.75212
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.748495
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.739245
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.732073
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.725307
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.724759
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.718233
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.713051
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.713794
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.710811
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.711294
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.712831
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.709794
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.708084
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.710972
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.712533
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.716892
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.713931
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.71352
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.708084

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06107
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02337
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.987742
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.95521
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.930333
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.910767
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.893494
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.874224
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855007
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.847322
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.839191
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.827234
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.8265
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.817762
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.809534
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.799869
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.791398
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.793068
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.792027
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.78819
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.785625
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.780931
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.782413
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.780746
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.777151
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.774485
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.770468
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.773972
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.764572
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.766627
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.765756
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.769245
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.771297
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.770579
Stopping. Best iteration:
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.764572

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.0526
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01469
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.981886
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.94907
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.920707
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.901136
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.883364
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.869069
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857352
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.840359
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.837743
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822676
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.807044
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.801288
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.786861
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.774736
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.763868
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.749798
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.75143
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.749231
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746248
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.739133
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.738548
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.735781
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.738091
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738294
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.73476
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.734395
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.73743
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.737877
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.735043
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.735366
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.735382
Stopping. Best iteration:
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.734395

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0504
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01098
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.974529
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.945707
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.924645
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.898086
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.878847
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.858479
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.839445
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.825008
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.811003
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.794479
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.781682
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.775119
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.769956
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.764953
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.75748
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.75304
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.741747
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.733721
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.724241
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.721003
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.716841
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.715147
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.70417
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.697667
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.695995
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.692357
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.690404
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.691217
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.687483
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.689704
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.691444
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.693237
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.696976
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.693317
Stopping. Best iteration:
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.687483

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04856
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01217
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.973469
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.931133
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.903663
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.892023
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.869799
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.856545
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.839485
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.826159
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.811808
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.804124
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.796723
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.792544
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.783343
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.778025
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.771968
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.769333
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.763639
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.759397
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.757656
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.753208
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.756348
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.755672
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.751003
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.748917
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.745357
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.742956
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.744321
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.748112
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.751492
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.753641
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.755228
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.742956

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05505
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0134
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.983084
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.9445
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.92178
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.905355
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.884356
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864363
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.851339
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.844965
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.837047
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.833745
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823935
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.818066
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.805583
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.795192
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.786174
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.777956
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.776078
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.770326
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.762572
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.758103
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.753192
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.751617
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.750491
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.751474
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.753152
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.749826
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.748691
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.752928
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.755964
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.754787
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.754134
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.755533
Stopping. Best iteration:
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.748691

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04957
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00447
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.97009
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.937848
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.913795
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.890188
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.871141
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.85707
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.840644
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.827054
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.82114
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.812468
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.803662
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798699
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791328
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.785285
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.777449
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.772727
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.767143
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.761696
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.757276
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.755456
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.752454
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.748423
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.744122
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.740493
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.737569
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.737091
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.734518
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.732005
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.733485
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.73275
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.733731
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.731922
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.73154
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.734227
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.732948
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.734045
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.736374
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.734012
Stopping. Best iteration:
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.73154

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04771
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00685
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.970717
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.939435
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.913167
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.889753
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.871972
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.855063
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.837149
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.825192
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.812984
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.804298
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.794651
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.789541
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.78994
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.781843
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.783503
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.773713
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.774084
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.771055
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.76671
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.764212
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.763321
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.762563
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.765633
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.766131
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.761969
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.766368
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.764439
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.761587
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.764067
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.767293
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.771333
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.773885
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.774712
Stopping. Best iteration:
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.761587

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.0486
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00774
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.975044
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.939643
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.91107
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.886989
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.874807
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.860521
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.851603
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.845539
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.839631
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.830635
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.82344
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.819435
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.812396
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.804815
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.805593
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.805458
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.805754
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.808778
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.809519
Stopping. Best iteration:
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.804815

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04853
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00699
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977265
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.947368
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.925023
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.903254
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.883085
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.863573
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.8486
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83268
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.821813
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.810991
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.802726
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.793025
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786743
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.780464
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.769346
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767651
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759383
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.75382
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.744947
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.740423
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.738707
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.731103
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.72275
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.717739
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.720355
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.716497
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.710915
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.711201
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.713764
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.715344
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.715653
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.713108
Stopping. Best iteration:
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.710915

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02334
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.987475
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.95501
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.929276
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.908925
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.888429
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.874507
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.856387
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.849266
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.840757
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.827641
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.824723
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.816471
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.809336
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.79884
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.795126
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.795035
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.790015
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.784274
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.783103
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.773864
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.77383
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.769237
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.766459
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.764477
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.759265
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.755761
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.746205
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.745576
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.75298
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.755781
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.755798
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.755726
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.76193
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.745576

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06106
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02791
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993163
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.95997
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938762
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.915746
[6]	validation_0-merror:0.25	validation_0-mlogloss:0.894567
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.880455
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.865465
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.854482
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.848954
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.83525
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.821443
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.815335
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.801283
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.785189
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.776186
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.769023
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.767062
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.760985
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.763936
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.764813
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.764593
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.761333
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.762918
Stopping. Best iteration:
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.760985

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04962
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00896
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.978064
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.948923
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.925776
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907375
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.888654
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868434
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.851202
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.83331
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.823399
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.806614
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.796491
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.789237
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.782162
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.772236
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765837
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.762403
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.755597
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.750639
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.742823
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.734695
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731929
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.730573
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.724785
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.720042
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.717011
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.712787
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.71084
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.713556
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.71215
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.714567
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.713451
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.715037
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.71084

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04706
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.00981
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.970751
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.934102
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.914714
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.901882
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.879351
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.861255
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.845025
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.832816
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.820272
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.811488
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.805742
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.798493
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.78609
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.781881
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.777619
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.770692
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.764305
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.76038
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.760001
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.757922
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.763385
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.761322
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.763424
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.76492
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.764851
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.757922

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05133
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01452
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.981403
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.947747
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.926934
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.909607
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.885187
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.868356
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.853522
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.847506
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.838643
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.833196
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.824079
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.823146
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.809921
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.79951
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.788785
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.781005
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.777618
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.76848
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.761826
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.76234
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.757191
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.755154
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.758426
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.759558
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.7606
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.760078
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.760998
Stopping. Best iteration:
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.755154

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04638
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.00314
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.966271
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.936127
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.910665
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.889254
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.871603
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.855395
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.840378
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.831395
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.821978
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815775
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.8083
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801125
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.794388
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.786558
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77915
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772148
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.766102
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.758427
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.757093
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.75358
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.748707
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.748303
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.744572
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.74656
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.743081
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.739323
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.735082
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.731416
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.730352
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.728488
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.729139
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.727732
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.72729
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.727493
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.729119
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.731151
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.729022
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.729696
Stopping. Best iteration:
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.72729

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04997
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00699
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.968786
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.937409
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.914873
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.893753
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.877413
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.858413
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.843345
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.833019
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.822655
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.810499
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.799992
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.795812
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.788519
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.784957
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.781008
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.775699
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.77335
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.76899
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.766753
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.762411
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.759208
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.758711
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.758846
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.757501
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.756939
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.758861
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.75557
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.758157
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.761546
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.759328
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.763207
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.769012
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.75557

[0]	validation_0-merror:0.283333	validation_0-mlogloss:1.04665
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00733
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.97682
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.946867
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.925056
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.902734
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.880839
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.866234
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.8539
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.836586
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.82562
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.817903
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.810086
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.80666
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.801537
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.801119
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.79949
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.798191
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.794497
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.794224
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.792419
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.792799
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.791851
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.792696
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.794719
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.798243
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.800526
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.799474
Stopping. Best iteration:
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.791851

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04875
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01128
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977604
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.9485
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925836
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.906768
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886944
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.870194
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858465
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.840626
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.829532
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.820542
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.811934
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.804529
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798608
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788254
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774258
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.770191
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.763697
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.759691
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748325
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.745225
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740427
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.729473
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.723605
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.718958
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.720797
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.71014
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709606
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.711068
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.711912
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.712705
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.713269
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.714376
Stopping. Best iteration:
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709606

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06428
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02397
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990165
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.957659
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.935527
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.914938
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.895793
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.881069
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.861617
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.852349
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.843457
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.830157
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.827957
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.819529
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.811319
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.800597
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.791758
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.788869
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.78827
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.775631
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.772621
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.769685
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.768984
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.766237
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.763726
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765302
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.757323
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.756486
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.754894
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.75288
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.754703
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.756912
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.757142
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.754807
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.756038
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.75288

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.996259
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965122
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.943406
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.923978
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.907268
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.8933
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.878469
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866136
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.85858
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.847849
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831958
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.824524
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.816973
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.808002
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.800303
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.793843
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.792627
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.789773
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.785218
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.779488
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.778676
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.77176
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.769669
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.767736
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.759811
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.758041
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.752846
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751741
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.747836
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.746026
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.745697
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.746159
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.745101
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.744206
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.744358
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.742184
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.740637
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.736534
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.733254
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.729686
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.733977
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.731734
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.729744
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.725478
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.728687
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.730193
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.729499
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.728702
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.73299
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.725478

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04891
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01125
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978103
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.950782
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.932206
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.911535
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.889291
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868539
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.849068
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.831897
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.820664
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.806338
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.794088
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.785056
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.781727
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.772539
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.763801
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.761972
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.754537
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.751356
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.741381
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.737617
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.731303
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.722975
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.719504
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.719486
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.719199
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.71562
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.714171
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.717951
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.716766
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.717085
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.717096
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.715199
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.714171

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04993
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01428
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.978936
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.944791
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.918892
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.899315
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.883136
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.873498
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.862709
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.849627
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.833434
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.824339
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.817479
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.808442
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.793481
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.78723
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.780567
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.776343
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.772147
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.766445
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.768324
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.764395
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.77113
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.765948
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.765458
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.76951
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.769345
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.764395

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01496
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985826
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.955262
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938176
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.923514
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.902586
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.88631
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.879736
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.873813
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.869734
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.862782
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.854826
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.850703
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.834383
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.824366
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.812248
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.801041
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.798733
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.787247
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.783217
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.780847
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.773755
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.774675
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.773903
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.77251
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.768239
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.766787
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.771257
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.772044
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.77338
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.773009
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.770328
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.766787

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05019
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01179
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.979956
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.953066
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.930485
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.909368
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.893746
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.880059
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.867734
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.85418
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.844855
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.834026
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.827619
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.820859
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.814191
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.809335
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.804471
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.795098
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.790957
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.788834
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.781512
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.778021
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.774038
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.771446
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.768592
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.764692
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.759714
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.761622
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.756991
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.752372
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.751872
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.749802
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.751021
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.750254
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.751742
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.753074
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.749095
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.748595
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.749094
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.750275
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.74868
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.748878
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.749157
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.748595

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0493
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.00969
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.974506
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.950864
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.92257
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.904573
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.887287
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.865489
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.852861
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.840409
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.829457
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.826393
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.825462
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.817622
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.813285
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806597
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.803111
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.802963
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.802204
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.799216
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.79378
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.793972
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.790998
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.786918
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.788264
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.787335
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.786812
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.790787
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.793412
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.790692
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.790639
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.793242
Stopping. Best iteration:
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.786812

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05059
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01231
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.97523
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.952319
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.932426
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914494
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.899309
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.881936
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.862699
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855558
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.843985
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.83645
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.830839
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.826642
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.823873
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.824279
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.825508
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.826783
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.822468
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.819178
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.814381
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.808743
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.806975
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.804046
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.799547
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.798351
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.798601
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.798092
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.795729
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.794933
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.789277
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.786358
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.786788
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.781001
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.782086
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.780249
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.778761
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.780327
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.78104
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.781081
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.784633
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.786046
Stopping. Best iteration:
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.778761

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04813
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980018
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.949569
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.925552
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904728
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.886078
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869843
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.855596
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.838004
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.824699
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.816776
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.808067
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.796695
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792649
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.785428
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.774589
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.768608
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.762489
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.755997
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749247
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.74476
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.74125
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.734487
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.726519
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.722662
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.721841
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.715758
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.715871
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.715679
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.715805
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.715289
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.716353
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.716554
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.716432
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.718974
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.722485
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.715289

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06528
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02615
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.99409
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961106
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.937679
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.918266
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.897741
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.882775
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.862714
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.853652
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.843332
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.829586
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.826982
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.817351
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.80919
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.803198
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.791609
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.786143
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.782893
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.776951
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.771259
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.76514
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.76362
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.761288
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.758845
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.765229
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.758065
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.755014
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.752949
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.749427
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.749907
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.751674
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.752227
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.750442
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.75141
Stopping. Best iteration:
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.749427

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06089
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999297
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970285
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.945806
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.925477
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.907965
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.893162
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.876975
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.860572
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.853839
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.842304
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.827156
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.820674
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.808483
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.800225
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.793108
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.785
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.785334
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.77771
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.775633
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.76976
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.764665
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.758021
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.753417
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.751182
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.745272
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.741835
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.738461
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.735847
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.730537
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.728361
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.727703
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.730854
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.728487
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.729015
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.729509
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.72534
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.728844
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.724757
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.723177
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.719709
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.721388
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.720508
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.720288
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.717882
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.719833
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.722651
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.717856
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.717052
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.719054
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.720069
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.723734
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.720108
[54]	validation_0-merror:0.35	validation_0-mlogloss:0.720597
Stopping. Best iteration:
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.717052

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05083
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01274
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.97855
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.949965
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.927856
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906468
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.880897
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.862133
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.843573
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.828472
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.816262
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.802375
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.786976
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.779374
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.772642
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.762444
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.754707
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.754162
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.746889
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.744171
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.73792
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.733126
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.728895
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.722342
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.718811
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.719176
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.716681
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.712493
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709215
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.711482
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.709336
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.706806
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.705943
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.705463
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.705667
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.703944
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.704982
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.705857
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.704427
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.704075
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.703845
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.704156
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.70167
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.701136
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.701791
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.699965
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.699133
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.699371
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.699181
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.697457
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.697198
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.700351
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.698455
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.695873
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.696067
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.693397
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.69569
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.693635
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.687575
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.683724
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.68503
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.685972
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.689445
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.690315
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.688428
Stopping. Best iteration:
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.683724

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05653
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01951
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984362
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.953942
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.93091
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.914885
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.894425
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.883361
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.871046
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854884
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.841919
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.834557
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.825513
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.816197
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.808911
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.805533
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800289
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.794566
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.788821
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.781819
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.783225
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.776861
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.779453
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.775532
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.777688
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.779446
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.772004
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.768464
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.769183
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.772203
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.77156
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.770504
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.770203
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.768464

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994172
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.962305
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.940536
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.922579
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.902344
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.885278
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.8746
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.867553
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.853314
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.844056
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.836356
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.831311
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.822868
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.818012
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.815214
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.812336
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.807334
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.793362
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.788741
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.789963
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.785994
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.782616
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.781805
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.784699
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.778094
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.775595
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.7775
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.774998
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.773731
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.770671
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.770251
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.767565
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.766737
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.771212
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.772435
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.769331
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.765536
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.766474
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.764284
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.764222
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.762523
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.762507
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.762782
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.763632
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.764039
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.761981
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.763775
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.764026
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.764862
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.766295
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.77065
Stopping. Best iteration:
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.761981

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01173
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.980161
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.95393
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.932425
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.914324
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896783
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.884307
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.870889
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.859649
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.850498
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.840607
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.831834
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.82227
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.815086
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.808261
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.803402
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.795899
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.792148
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.790713
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.788895
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.786305
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.78412
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.780201
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.773413
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.771527
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.768739
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.765227
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.764596
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.763349
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.760054
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.756901
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.752982
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.75269
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.751925
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.751314
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.74921
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.750692
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.751342
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.752147
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.75298
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.75357
Stopping. Best iteration:
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.74921

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.048
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00837
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.975164
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.943924
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.918716
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.896896
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.878225
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.861058
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.846663
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.835445
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.824018
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.816731
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.806246
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.799639
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.798338
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.793429
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.787484
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.780964
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.780626
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.77749
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.77537
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.773667
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.768031
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.763621
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.762754
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.761372
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.756343
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.755953
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.757101
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.75714
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.760491
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.763014
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.764114
Stopping. Best iteration:
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.755953

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0529
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978067
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957385
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.931194
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.908872
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.891063
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.876383
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.865758
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.855592
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.84362
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.834679
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.830254
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.822839
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.81761
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.816279
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.808686
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.807071
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.803117
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.800363
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.798515
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.794836
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.794087
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.791751
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.789853
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.785468
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.785953
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.779968
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.776841
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.776672
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.77282
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.771415
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.770703
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.766482
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.766074
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.764107
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.763022
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.760107
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.758933
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.75768
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.757632
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.758044
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.760085
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.758641
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.75776
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.757285
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.758666
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.759583
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.761151
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.762607
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.764806
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.757285

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05122
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0072
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.976807
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.949121
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.922666
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.901459
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.879104
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.862727
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.839579
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.825382
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.812229
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.800112
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.791238
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.785773
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.776427
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.769473
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.76279
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.757453
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.750748
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.74293
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.737974
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.737311
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.73233
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72522
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.715958
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.709563
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.708884
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.701222
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.699324
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.701619
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.703752
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.705951
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.706688
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.704338
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.699324

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06097
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.021
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.983897
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.954451
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.93104
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.909951
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.884949
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.871182
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.85617
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.850961
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.842633
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.835359
[12]	validation_0-merror:0.433333	validation_0-mlogloss:0.8347
[13]	validation_0-merror:0.433333	validation_0-mlogloss:0.828958
[14]	validation_0-merror:0.433333	validation_0-mlogloss:0.820151
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.807271
[16]	validation_0-merror:0.416667	validation_0-mlogloss:0.801369
[17]	validation_0-merror:0.416667	validation_0-mlogloss:0.804476
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.798751
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.790381
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.790977
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.783598
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.78389
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.781207
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.781321
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.781163
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.780134
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.779368
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.773871
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.772307
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.773794
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.772371
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.774363
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.772126
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.778993
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.782367
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.783212
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.790286
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.794967
Stopping. Best iteration:
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.772126

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05396
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0169
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.987334
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951521
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.91914
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.897612
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.880003
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.863367
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851683
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.835763
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.835714
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.820263
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.802717
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.799427
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.78378
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.770822
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.761075
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.749029
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.751637
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.747111
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.743342
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741307
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.738457
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.738003
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.73703
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738996
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.748616
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.746106
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.747733
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.747479
Stopping. Best iteration:
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.73703

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04622
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00392
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.965137
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.937389
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.913871
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.889144
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.871415
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.848728
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.828121
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.812958
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.802589
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.78717
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.781
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.775353
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.766584
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.760182
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.755458
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.751706
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.741354
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.739359
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.730059
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.72372
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.720858
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.717409
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.712694
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.707482
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.705971
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.702748
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.704189
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.703639
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.701273
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.705363
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.70598
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.70718
[34]	validation_0-merror:0.233333	validation_0-mlogloss:0.705692
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.703432
Stopping. Best iteration:
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.701273

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05325
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01598
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.979317
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.93646
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.912913
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.894587
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.88052
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.863493
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.845904
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.838943
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.82941
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.818327
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.812775
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.808647
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.796476
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791132
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.784703
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.78195
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.778936
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.778152
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.779611
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.777372
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.77894
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.779582
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.777386
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.776222
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.776313
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.774347
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.774843
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.777207
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.782568
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.78061
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.783922
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.774347

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05535
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01326
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985228
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.952069
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.928962
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915021
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.891825
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.874093
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.865737
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.854538
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.846623
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.843026
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.837177
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.832886
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.830753
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.829126
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.824827
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.814599
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.814952
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.808945
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.809497
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.815181
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.81574
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.816024
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.820314
Stopping. Best iteration:
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.808945

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04642
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.00175
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.968723
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.938502
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.915923
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.893028
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.872406
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.851166
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.834679
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.820188
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.801796
[11]	validation_0-merror:0.25	validation_0-mlogloss:0.785738
[12]	validation_0-merror:0.233333	validation_0-mlogloss:0.775375
[13]	validation_0-merror:0.233333	validation_0-mlogloss:0.764934
[14]	validation_0-merror:0.233333	validation_0-mlogloss:0.75691
[15]	validation_0-merror:0.233333	validation_0-mlogloss:0.752908
[16]	validation_0-merror:0.233333	validation_0-mlogloss:0.748475
[17]	validation_0-merror:0.233333	validation_0-mlogloss:0.745846
[18]	validation_0-merror:0.233333	validation_0-mlogloss:0.742913
[19]	validation_0-merror:0.233333	validation_0-mlogloss:0.740031
[20]	validation_0-merror:0.233333	validation_0-mlogloss:0.738854
[21]	validation_0-merror:0.233333	validation_0-mlogloss:0.734203
[22]	validation_0-merror:0.233333	validation_0-mlogloss:0.733564
[23]	validation_0-merror:0.233333	validation_0-mlogloss:0.732495
[24]	validation_0-merror:0.233333	validation_0-mlogloss:0.731588
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.728646
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.731974
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.730132
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.730867
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.727697
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.73161
[31]	validation_0-merror:0.233333	validation_0-mlogloss:0.731517
[32]	validation_0-merror:0.233333	validation_0-mlogloss:0.731735
[33]	validation_0-merror:0.233333	validation_0-mlogloss:0.728565
[34]	validation_0-merror:0.216667	validation_0-mlogloss:0.728287
Stopping. Best iteration:
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.727697

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05086
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00823
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.970795
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.938292
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.912751
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.888693
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.866712
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.85267
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.843154
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.834783
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.827191
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.821874
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.817576
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.816078
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.810703
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.806295
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.803107
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.799004
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.806432
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.80414
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.807776
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.809592
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.812382
Stopping. Best iteration:
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.799004

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05683
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01539
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.982996
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.956133
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.935663
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.922018
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.911642
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.895823
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.88559
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.87624
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.871365
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.861387
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.85772
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.858905
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.855986
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.855793
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.856794
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.859043
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.859887
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.861627
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.865832
Stopping. Best iteration:
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.855793

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04947
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00571
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977077
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.950511
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.922874
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.901227
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.877898
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.865213
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848694
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.829909
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.820308
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.809943
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.804123
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.797297
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791764
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.784076
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.779411
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.772201
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.763701
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.757163
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.749198
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.74292
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.740459
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.73225
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.723732
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.716495
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.717159
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.710764
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.706123
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.707067
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.70376
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.702067
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.703514
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70069
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.699154
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.701896
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.705462
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.709959
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.707947
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.702093
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.699154

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06107
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02337
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.987742
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.95521
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.930333
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.910767
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.893494
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.874224
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855007
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.847322
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.839191
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.826517
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.82576
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.813199
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.805128
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.795165
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.786819
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.787284
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.786427
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.782676
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.781119
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.774845
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.777052
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.774657
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.772469
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.769872
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.765539
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.763562
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.754595
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.756186
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.755727
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.759747
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.761726
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.760894
Stopping. Best iteration:
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.754595

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.0526
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01469
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.981886
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.94907
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.920707
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.901136
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.883364
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.869069
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857352
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.840359
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.837743
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822676
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.807044
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.801288
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.786861
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.774736
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.763868
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.749798
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.75143
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.749231
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746248
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.739133
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.738548
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.735781
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.738091
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738294
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.73476
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.734699
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.737761
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.7382
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.734456
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.73854
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.738649
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.738834
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.74095
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.744058
Stopping. Best iteration:
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.734456

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05081
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01079
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.974248
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.946551
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925089
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.898738
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.880212
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.859228
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.839522
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.825196
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.81504
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.79856
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.785264
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.779404
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.773609
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.766518
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.760312
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.756299
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.747432
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.742831
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.733502
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.728628
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.724156
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.721536
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.710915
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.703956
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.70143
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.697338
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.695488
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.693277
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.688986
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.692017
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.688761
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.687716
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.691225
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.687942
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.690339
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.688268
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.683484
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.681006
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.67905
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.681066
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.678241
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.677608
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.679405
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.678141
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.682214
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.682324
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.684746
Stopping. Best iteration:
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.677608

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04856
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01251
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.975636
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.933031
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.909367
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.89745
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.873565
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.85992
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.846617
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.832357
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.818229
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.810626
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.805098
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.801684
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.78872
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.783945
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.77845
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.776184
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.769789
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.764266
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.762079
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.757236
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.760399
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.760448
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.755723
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.757702
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.758297
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.759663
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.760076
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.761703
Stopping. Best iteration:
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.755723

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05505
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0134
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.983084
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.9445
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.92178
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.905355
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.884356
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864363
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.851339
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.844965
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.837047
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.833745
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.823935
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.818066
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.806001
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.794867
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.785876
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.7812
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.778689
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.772984
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.767923
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.76555
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.761039
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.759012
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.75708
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.75875
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.761007
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.761667
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.762897
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.766957
Stopping. Best iteration:
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.75708

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05005
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00366
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.968763
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.935344
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.909091
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.885938
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.868203
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.852118
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.840951
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.831389
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.822063
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.812305
[12]	validation_0-merror:0.233333	validation_0-mlogloss:0.801749
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.797065
[14]	validation_0-merror:0.233333	validation_0-mlogloss:0.789423
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.78575
[16]	validation_0-merror:0.233333	validation_0-mlogloss:0.778842
[17]	validation_0-merror:0.233333	validation_0-mlogloss:0.775132
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.77048
[19]	validation_0-merror:0.216667	validation_0-mlogloss:0.766955
[20]	validation_0-merror:0.216667	validation_0-mlogloss:0.762912
[21]	validation_0-merror:0.233333	validation_0-mlogloss:0.759483
[22]	validation_0-merror:0.233333	validation_0-mlogloss:0.756868
[23]	validation_0-merror:0.216667	validation_0-mlogloss:0.753812
[24]	validation_0-merror:0.233333	validation_0-mlogloss:0.752741
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.750235
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.750445
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.749148
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.747589
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.747583
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.745512
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.747952
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.747182
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.748361
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.752201
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.754709
Stopping. Best iteration:
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.745512

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04888
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00873
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.97171
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.938991
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.91619
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.893483
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.873536
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.860374
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.84668
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.836912
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.824085
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.81517
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.811093
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.805965
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.798893
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.795616
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.794733
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.788343
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.784187
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.784303
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.782533
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.783476
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.778611
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.781007
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.779287
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.783123
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.782764
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.785664
Stopping. Best iteration:
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.778611

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.0486
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00774
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.975044
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.939643
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.91107
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.886989
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.874807
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.860977
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.852036
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846401
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.840459
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.831427
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.821714
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.813105
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.808332
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.805902
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.80431
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.806202
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.806206
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.808085
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.808378
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.810814
Stopping. Best iteration:
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.80431

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04853
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00699
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977265
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.947368
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.925023
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.903254
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.883085
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.863573
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.8486
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83268
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.821813
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.810991
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.802726
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.793025
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786743
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.780464
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.769346
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767651
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759383
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.75382
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.744947
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.740423
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.738707
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.731103
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.72275
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.717739
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.720355
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.716497
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.710915
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.711201
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.713764
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.715344
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.715653
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.713108
Stopping. Best iteration:
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.710915

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02334
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.987949
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.955504
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.929793
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.909452
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.888992
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.875761
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.857691
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.850576
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.842037
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.828085
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.826102
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.817883
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.810785
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.800344
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.796506
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.796535
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.791504
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.785659
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.784237
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.775487
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.775531
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.770628
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.766722
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.766433
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.761428
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.757962
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.748623
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.747972
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.752341
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.755775
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.755539
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.755532
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.761517
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.747972

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06106
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02791
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993163
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.95997
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938762
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.915746
[6]	validation_0-merror:0.25	validation_0-mlogloss:0.894567
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.880455
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.865465
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.854482
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.848954
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.83525
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.821443
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.815335
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800421
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784623
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.775611
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.768445
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.766483
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.760428
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.763363
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.764253
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.764048
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.760796
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.762372
Stopping. Best iteration:
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.760428

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04994
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00956
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.978111
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.949803
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.927274
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.909237
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.8853
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.865235
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.847832
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.826643
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.816727
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.798621
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.788623
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.784517
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.775627
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.766855
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.759166
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.753798
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.747684
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.746705
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.736426
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.730362
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.7275
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724265
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.724661
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.7242
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.722881
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.717949
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.715776
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.719778
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.719905
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.718999
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.718094
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.717437
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.715776

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04706
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.00981
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.971813
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.935017
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.915565
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.90274
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.8801
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.861875
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.844969
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.83327
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.820617
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.811722
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.805911
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.798791
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.786427
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.782136
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.776179
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.769264
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.76298
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.759021
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.759487
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.758613
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.764139
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.762355
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.764538
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.766015
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.764579
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.758613

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05133
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01452
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.981403
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.947747
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.926934
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.909607
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.885187
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.868356
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.853522
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.847506
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.838643
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.833196
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.824079
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.823146
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.809826
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.799351
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.788704
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.782491
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.779145
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.770013
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.762772
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.76329
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.757959
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.755924
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.759332
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.758845
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.760715
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.759027
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.762895
Stopping. Best iteration:
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.755924

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04541
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.0013
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.964585
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.93456
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.910715
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.887706
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.8678
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.850855
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.836692
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.821226
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.80767
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.797973
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.791223
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.78641
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.779731
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.770133
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.763916
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.758767
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.752442
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.746991
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.742633
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.740669
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.73642
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.734559
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.731882
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.727105
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.725503
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.721735
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.722416
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.72134
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.717704
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.716956
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.717035
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.715097
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.714952
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.71673
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.716417
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.715848
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.716164
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.716495
Stopping. Best iteration:
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.714952

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05025
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00749
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.969365
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.941152
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.916334
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.898743
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.877395
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.863081
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.85071
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.837975
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.82712
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.819124
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.810446
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.802399
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.797944
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.792769
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.789216
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.788508
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.787446
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.782461
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.781677
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.77715
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.776397
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.773953
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.773156
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.775143
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.776758
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.77348
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.775479
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.775356
Stopping. Best iteration:
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.773156

[0]	validation_0-merror:0.283333	validation_0-mlogloss:1.04665
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00733
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.97682
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.946867
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.925056
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.902734
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.880839
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.866234
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.8539
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.836586
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.82562
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.817903
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.810086
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.80666
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.801517
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.80117
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.799529
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.799365
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.797252
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.796664
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.797923
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.800201
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.799309
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.799996
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.800978
Stopping. Best iteration:
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.796664

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04875
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01128
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977604
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.9485
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925836
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.906768
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886944
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.870194
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858465
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.840626
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.829532
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.820542
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.811934
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.804529
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798608
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788254
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774258
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.770191
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.763697
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.759691
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748325
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.745225
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740427
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.729473
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.723605
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.718958
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.720797
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.71014
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709606
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.711068
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.711912
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.712705
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.713269
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.714376
Stopping. Best iteration:
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709606

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06428
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02397
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990165
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.957659
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.935527
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.914938
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.895793
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.881069
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.861617
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.852349
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.843457
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.830157
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.827957
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.819529
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.811319
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.800597
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.791758
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.788869
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.78827
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.775631
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.772621
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.769685
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.768984
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.766237
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.763726
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765302
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.757323
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.756486
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.754894
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.75288
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.754703
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.756912
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.757142
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.754807
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.756038
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.75288

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.996259
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965122
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.943406
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.923978
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.907268
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.8933
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.878469
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866136
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.85858
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.847849
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831958
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.824524
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.816973
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.808002
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.800303
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.793843
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.792627
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.789773
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.785218
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.779488
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.778676
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.77176
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.769669
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.767736
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.759811
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.758041
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.752846
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751741
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.747836
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.746026
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.745697
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.746159
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.745101
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.744206
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.744358
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.742184
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.740637
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.736534
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.733254
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.729686
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.733977
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.731734
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.729744
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.725478
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.728687
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.730193
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.729499
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.728702
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.73299
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.725478

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04891
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01125
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978103
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.950782
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.932206
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.913537
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.888691
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.867882
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.848482
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83133
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.820104
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.805802
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.793614
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.784544
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.781232
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.771992
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.763275
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.761477
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.755908
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753618
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743585
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.739782
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.73353
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.725256
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.720835
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.718935
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.717315
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.713754
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.71234
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.716093
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.714965
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.714577
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.715135
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.713356
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.71234

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04993
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01428
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.978936
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.944791
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.918892
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.899315
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.883136
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.873498
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.862709
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.849627
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.833434
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.824339
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.817479
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.808442
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.793481
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.78723
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.780567
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.776343
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.772147
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.766445
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.768324
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.764395
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.77113
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.765948
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.765458
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.76951
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.769345
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.764395

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01496
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985826
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.955262
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.938176
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.923514
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.902586
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.88631
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.879736
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.873813
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.869734
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.862782
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.854826
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.850703
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.834383
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.824366
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.812248
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.801701
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.799392
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.787919
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.78389
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.781524
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.774957
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.775311
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.773551
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.77439
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.772324
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.770777
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.775041
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.775989
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.77734
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.780319
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.776507
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.770777

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05019
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01284
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.982849
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.955673
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.931316
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.912808
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.8975
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.882318
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.871272
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.856643
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.846482
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.838514
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.832374
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.827237
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.822905
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.814945
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.810093
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.803948
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.802094
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.800361
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.793967
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.791105
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.789672
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.785369
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.779654
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.779869
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.777956
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.776426
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.773302
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.774276
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.773111
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.772542
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.7725
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.774013
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.774185
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.770967
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.772854
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.767655
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.766238
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.768651
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.769412
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.768799
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.769278
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.768087
Stopping. Best iteration:
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.766238

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0493
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.00969
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.974506
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.950864
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.92257
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.904549
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.886606
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.864447
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853081
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.83852
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.831176
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.823489
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.815041
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.806491
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.802971
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.798993
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.79747
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792498
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.788681
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.788036
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.784845
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.783189
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.78128
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.779845
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.780428
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.776358
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.781198
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.778919
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.78179
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.783032
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.787096
Stopping. Best iteration:
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.776358

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05059
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01231
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.97523
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.952319
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.932426
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.914494
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.899309
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.881936
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.862699
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855558
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.843985
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.83645
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.830839
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.826642
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.823873
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.824279
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.825508
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.826783
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.822468
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.819178
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.814381
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.808743
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.806975
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.804046
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.799547
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.798351
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.798601
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.798092
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.795729
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.794933
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.789277
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.786358
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.786788
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.781001
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.782086
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.780249
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.778761
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.780327
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.78104
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.781081
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.784633
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.786046
Stopping. Best iteration:
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.778761

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04813
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980018
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.949569
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.925552
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904728
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.886078
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869843
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.855596
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.838004
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.824699
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.816776
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.808067
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.796695
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792649
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.785428
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.774589
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.768608
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.762489
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.755997
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749247
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.74476
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.74125
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.734487
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.726519
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.722662
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.721841
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.715758
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.715871
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.715679
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.715805
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.715289
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.716353
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.716554
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.716432
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.718974
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.722485
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.715289

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06528
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02615
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.99409
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961106
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.937679
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.918266
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.897741
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.882775
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.862714
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.853652
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.843332
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.829586
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.826982
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.817351
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.80919
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.803198
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.791609
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.786143
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.782893
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.776951
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.771259
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.76514
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.76362
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.761288
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.758845
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.765229
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.758065
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.755014
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.752949
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.749427
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.749907
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.751674
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.752227
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.750442
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.75141
Stopping. Best iteration:
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.749427

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06089
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999297
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970285
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.945806
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.925477
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.907965
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.893162
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.876975
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.860572
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.853839
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.842304
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.827156
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.820674
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.808483
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.800225
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.793108
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.785
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.785334
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.77771
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.775633
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.76976
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.764665
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.758021
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.753417
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.751182
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.745272
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.741835
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.738461
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.735847
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.730537
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.728361
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.727703
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.730854
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.728487
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.729015
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.729509
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.72534
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.728844
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.724757
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.723177
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.719709
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.721388
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.720508
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.720288
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.717882
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.719833
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.722651
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.717856
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.717052
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.719054
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.720069
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.723734
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.720108
[54]	validation_0-merror:0.35	validation_0-mlogloss:0.720597
Stopping. Best iteration:
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.717052

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05083
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01274
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.97855
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.949965
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.927856
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906468
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.880897
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.862133
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.843573
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.828472
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.816262
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.802375
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.786976
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.779374
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.772642
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.762444
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.754707
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.754162
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.746889
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.744171
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.73792
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.733126
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.728895
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.722342
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.718811
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.719176
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.716681
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.712493
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.709215
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.711482
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.709336
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.706806
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.705943
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.705463
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.705667
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.703944
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.704982
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.705857
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.704427
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.704075
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.703845
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.704156
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.70167
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.701136
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.701791
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.699965
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.699133
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.699371
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.699181
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.697457
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.697198
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.700351
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.698455
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.695873
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.696067
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.693397
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.69569
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.693635
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.687575
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.683724
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.68503
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.685972
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.689445
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.690315
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.688428
Stopping. Best iteration:
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.683724

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05653
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01951
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984362
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.953942
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.93091
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.914885
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.894425
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.883361
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.871046
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854884
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.841919
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.834557
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.825513
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.816197
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.808911
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.805533
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800289
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.794566
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.788821
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.781819
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.783225
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.776861
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.779453
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.775532
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.777688
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.779446
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.772004
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.768464
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.769183
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.772203
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.77156
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.770504
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.770203
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.768464

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994172
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.962305
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.940536
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.922579
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.902344
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.885278
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.8746
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.867553
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.853314
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.844056
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.836356
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.831311
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.822868
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.818012
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.815214
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.812336
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.807334
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.793362
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.788741
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.789963
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.785994
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.782616
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.781805
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.784699
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.778094
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.775595
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.7775
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.774998
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.773731
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.770671
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.770251
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.767565
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.766737
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.771212
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.772435
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.769331
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.765536
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.766474
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.764284
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.764222
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.762523
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.762507
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.762782
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.763632
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.764039
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.761981
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.763775
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.764026
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.764862
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.766295
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.77065
Stopping. Best iteration:
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.761981

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01173
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978946
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.952722
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.930048
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.911977
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894706
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.882178
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.869104
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.857964
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.849016
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.836563
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82923
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.819029
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810358
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.803502
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.796948
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.794321
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.790834
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.78962
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.788282
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.782578
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.77996
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.776236
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.770494
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.769755
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.765493
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.764295
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.758112
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.755432
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751277
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.750415
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.747904
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.743351
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.745967
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.743784
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.743709
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.743663
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.747018
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.743351

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.048
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00837
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.975164
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.943924
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.918716
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.896896
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.878225
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.861058
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.848135
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.83534
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.822284
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.813444
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.807472
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.802283
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.795045
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.788355
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.783729
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.77759
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.773721
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.771518
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.769447
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.768293
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.765437
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.764114
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.760156
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.76008
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.759368
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.759176
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.760107
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.761994
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.765341
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.765983
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.766495
Stopping. Best iteration:
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.759176

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0529
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978067
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957385
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.931194
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.908872
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.891063
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.876383
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.865758
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.855592
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.84362
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.834679
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.830254
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.822839
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.81761
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.816279
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.808686
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.807071
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.803117
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.800363
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.798515
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.794836
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.794087
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.791751
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.789853
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.785468
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.785953
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.779968
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.776841
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.776672
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.77282
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.771415
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.770703
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.766482
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.766074
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.764107
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.763022
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.760107
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.758933
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.75768
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.757632
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.758044
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.760085
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.758641
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.75776
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.757285
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.758666
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.759583
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.761151
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.762607
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.764806
Stopping. Best iteration:
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.757285

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06352
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03128
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.995949
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.968154
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.947415
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925575
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897959
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.876578
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857382
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.837483
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.818235
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.806273
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.798439
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.787001
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.779833
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.775181
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.767327
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.761392
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.760273
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.758344
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.756344
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.753395
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.748465
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.7408
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.736757
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.734766
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.730434
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.724816
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.725002
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.724692
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.716327
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.712674
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.710848
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.707622
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.707869
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.706381
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.706293
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.7038
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.704734
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.706427
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.704992
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.702003
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.701916
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.706035
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.707508
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.705009
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.706384
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.70564
Stopping. Best iteration:
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.701916

/Users/wilsons/anaconda3/envs/pyjup/lib/python3.6/site-packages/sklearn/model_selection/_search.py:813: DeprecationWarning: The default of the `iid` parameter will change from True to False in version 0.22 and will be removed in 0.24. This will change numeric results when test-set sizes are unequal.
  DeprecationWarning)
In [29]:
gridsearch
Out[29]:
GridSearchCV(cv=StratifiedKFold(n_splits=3, random_state=8, shuffle=False),
             error_score='raise-deprecating',
             estimator=XGBClassifier(base_score=0.5, booster='gbtree',
                                     colsample_bylevel=1, colsample_bytree=1,
                                     gamma=0, learning_rate=0.1,
                                     max_delta_step=0, max_depth=3,
                                     min_child_weight=1, missing=None,
                                     n_estimators=10000, n_jobs=1, nthread=None,
                                     num_class=3, objective=...
                                     random_state=0, reg_alpha=0, reg_lambda=1,
                                     scale_pos_weight=1, seed=None, silent=True,
                                     subsample=1, verbosity=0),
             iid='warn', n_jobs=None,
             param_grid={'colsample_bytree': [0.6, 0.8, 1.0],
                         'gamma': [0.0, 0.1, 0.2, 0.3],
                         'max_depth': [2, 4, 6, 8],
                         'min_child_weight': [1, 2, 3, 4, 5],
                         'subsample': [0.6, 0.8, 1.0]},
             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,
             scoring=None, verbose=0)
In [30]:
gridSearchTime = (endGrid - startGrid).seconds
print(f'GridSearch took {gridSearchTime} seconds')
GridSearch took 145 seconds

Best

In [31]:
gridsearch.best_params_
Out[31]:
{'colsample_bytree': 0.6,
 'gamma': 0.2,
 'max_depth': 6,
 'min_child_weight': 4,
 'subsample': 0.6}

Fit

In [32]:
model = xgb.XGBClassifier(n_estimators=10000,
                       max_depth=gridsearch.best_params_['max_depth'],
                       min_child_weight=gridsearch.best_params_['min_child_weight'],
                       gamma=gridsearch.best_params_['gamma'],
                       colsample_bytree=gridsearch.best_params_['colsample_bytree'],
                       subsample=gridsearch.best_params_['subsample'],
                       objective='mlogloss',
                       num_class=3,
                       learning_rate=0.1,
                       verbosity=1)

model.fit(X_train_proc, y_train,
        early_stopping_rounds=5,
        eval_metric=[ 'merror', 'mlogloss'],
        eval_set=eval_set,
        verbose=True)
[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06352
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03128
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.995949
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.968154
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.947415
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925575
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897959
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.876578
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857382
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.837483
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.818235
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.806273
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.798439
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.787001
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.779833
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.775181
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.767327
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.761392
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.760273
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.758344
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.756344
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.753395
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.748465
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.7408
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.736757
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.734766
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.730434
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.724816
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.725002
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.724692
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.716327
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.712674
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.710848
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.707622
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.707869
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.706381
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.706293
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.7038
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.704734
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.706427
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.704992
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.702003
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.701916
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.706035
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.707508
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.705009
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.706384
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.70564
Stopping. Best iteration:
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.701916

Out[32]:
XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
              colsample_bytree=0.6, gamma=0.2, learning_rate=0.1,
              max_delta_step=0, max_depth=6, min_child_weight=4, missing=None,
              n_estimators=10000, n_jobs=1, nthread=None, num_class=3,
              objective='multi:softprob', random_state=0, reg_alpha=0,
              reg_lambda=1, scale_pos_weight=1, seed=None, silent=True,
              subsample=0.6, verbosity=1)

Predict

In [33]:
proba  = model.predict_proba(X_test_proc, model.best_iteration)
pred   = np.argmax(proba, axis=1)
truth  = y_test.astype('category').cat.codes
acc    = errors(truth, pred);
Accuracy 0.7333333333333333
Confusion Matrix
[[21  0  1]
 [ 1 18  8]
 [ 5  5 16]]
Classification Report
              precision    recall  f1-score   support

           0       0.78      0.95      0.86        22
           1       0.78      0.67      0.72        27
           2       0.64      0.62      0.63        26

    accuracy                           0.73        75
   macro avg       0.73      0.75      0.73        75
weighted avg       0.73      0.73      0.73        75

Log Results

In [34]:
resultsDF.loc['GridSearch'] = [gridSearchTime, acc]
resultsDF
Out[34]:
Time Accuracy
Default 0.0 0.666667
GridSearch 145.0 0.733333

Random Grid Search

  • Instead of testing every combination, we'll sample 10% of the steps we used in GridSearch
  • This allows us to search the space without wasting overlaps in bad regions
  • We expect:
    • Random search to finish faster
    • Explore the area
    • Find a decent result
    • If we're lucky we may hit an optimal result
In [35]:
startRandom = datetime.datetime.now()
fit_params = {'early_stopping_rounds':5,
             'eval_metric': [ 'merror', 'mlogloss'],
             'eval_set': [(X_val_proc, y_val)]}

kfold = StratifiedKFold(n_splits=3, random_state=8)
              
model = xgb.XGBClassifier(n_estimators=10000,
                       objective='mlogloss',
                       num_class=3,
                       learning_rate=0.1,
                       verbosity=0)
              
randomsearch = RandomizedSearchCV(model, param_grid,
                          n_iter = 72,
                          verbose=0,
                          cv=kfold)
              
randomsearch.fit(X_train_proc, y_train, **fit_params)
endRandom = datetime.datetime.now()
[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0504
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01679
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.9823
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.954841
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.933773
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.912488
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.890233
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.87083
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853899
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.83716
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.824383
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.808683
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.793399
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.785484
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.779186
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.770218
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.762246
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.762796
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.752095
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.749939
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.745262
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740101
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.734553
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.729699
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.725928
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.720162
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.718909
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71334
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.710132
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.71233
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.711152
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.710798
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.709643
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70935
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.70884
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.703914
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.703324
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.707639
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.704886
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.704433
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.706163
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.705285
Stopping. Best iteration:
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.703324

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05652
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.01859
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.984859
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.953671
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.929429
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.913821
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.900021
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.888708
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.875027
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.858652
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.845441
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.836887
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.82846
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.819045
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811255
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.807465
[16]	validation_0-merror:0.416667	validation_0-mlogloss:0.800112
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.793297
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.785683
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.780479
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.779493
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.774629
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.776193
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.770987
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.7691
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.76954
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.762248
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.760331
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.761488
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.762701
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.76439
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.766278
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.766609
Stopping. Best iteration:
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.760331

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994168
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.9616
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.939901
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.923236
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.903063
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885446
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.874622
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.867067
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.850951
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.841654
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831111
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.82611
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.818175
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.812628
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.8095
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.805828
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.80094
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.790512
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.785965
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.787673
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.783722
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.780015
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.781361
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.785935
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.780658
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.777934
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.779242
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.776432
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.776599
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.775597
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.773278
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.771757
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.770674
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.77309
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.772577
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.771156
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.768909
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.769165
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.76731
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.766339
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.764826
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.762134
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.762528
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.763506
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.762318
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.761614
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.76136
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.761781
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.762125
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.763274
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.767754
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.766131
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.76136

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04281
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:0.995384
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.96108
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.928445
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.902375
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.877672
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.857532
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.834229
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.815395
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.801377
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.782168
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.76547
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.75562
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.74443
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.735114
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.727919
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.722898
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.718141
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.716045
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.71322
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.709484
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.705498
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.702697
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.701218
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.697527
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.69601
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.690856
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.689798
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.689711
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.689407
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.690225
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.690666
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.689372
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.687204
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.689274
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.690592
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.692059
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.688989
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.687289
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.687204

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00739
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.969227
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.937971
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.912789
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.889838
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.872156
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.857352
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.8512
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.848367
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.836458
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.829419
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.825764
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.823445
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.815189
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.81798
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.815367
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.816579
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.819172
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.822307
Stopping. Best iteration:
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.815189

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05558
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01513
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.980645
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.956716
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.935754
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923472
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.909627
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.89796
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.889488
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.880747
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.87389
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.866865
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.86238
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.856515
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.854274
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.854386
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.856888
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.859616
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.864339
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.869599
Stopping. Best iteration:
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.854274

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04768
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00533
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977055
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.951455
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.924702
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.902478
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.881353
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868201
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848106
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.82987
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.820606
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.813446
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809828
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.803029
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79766
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.789401
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.78636
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.779409
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.771539
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.764876
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.753989
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750214
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745482
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.740499
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.733903
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.725859
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.724561
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71935
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.714863
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.714785
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.714096
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.71341
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.716675
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.715051
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.714723
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.716887
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.719015
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.71341

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06059
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02079
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.985032
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951403
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.928289
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.90829
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.887358
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.867527
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.849369
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.841837
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.83237
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.817797
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.814736
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.809732
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.80163
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.791
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.786905
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.784206
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.777769
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.769552
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767994
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.762334
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.763088
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.759605
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.758334
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.756705
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.753977
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.759455
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.756974
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.752041
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.749608
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.752924
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.754201
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.758811
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.766127
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.769322
Stopping. Best iteration:
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.749608

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05173
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01559
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984286
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.953082
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.923976
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.905018
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.888363
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.874829
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.859119
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.845369
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.842496
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.832226
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.817574
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815053
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798185
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.784688
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776016
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.762266
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.764303
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.764301
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.765325
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.760877
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754691
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.752959
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.755488
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.751728
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.748841
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.743193
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737646
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.73759
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.735562
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.736442
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.737539
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.735992
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.737845
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.738596
Stopping. Best iteration:
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.735562

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02218
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.986227
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.956672
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932714
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.909271
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88971
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868898
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.853149
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.842651
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830703
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.816472
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.803696
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.790413
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.781244
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.770171
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.762848
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.760514
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.753591
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.744885
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.738705
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.731299
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.729758
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.728264
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.722296
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.715831
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.710396
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.708645
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.703413
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.697339
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.694624
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.69303
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.692833
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.68995
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.687642
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.684669
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.683255
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.679793
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.678968
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.679791
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.676879
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.677374
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.677295
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.677883
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.67451
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.675551
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.67467
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.672681
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.67454
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.674215
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.672723
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.674058
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.675732
Stopping. Best iteration:
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.672681

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05674
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02435
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993657
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.968617
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.94356
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.921957
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.903378
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.889204
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.876313
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.863351
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.851939
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.838437
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.829885
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.822129
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.814838
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.805002
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.799218
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.793207
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.788728
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.787411
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.780472
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.77549
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.7714
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.766386
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.760459
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.756369
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.751472
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.748281
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.745366
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.742831
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.742065
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.735562
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.734667
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.73348
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.731159
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.728294
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.727673
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.721796
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.720124
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.717583
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.715825
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.715328
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.714193
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.710125
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.709395
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.709443
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.708016
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.708719
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.709729
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.708068
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.709162
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.711706
Stopping. Best iteration:
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.708016

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06754
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03172
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.999086
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.973193
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.948428
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.925296
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904734
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.895911
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875467
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866637
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.861219
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.854323
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.8458
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.83769
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.829073
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.820864
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.812646
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.801737
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.793393
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.787976
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.776754
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.771344
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.765993
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.758718
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.751562
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.750403
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.742094
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.739443
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.736543
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.730874
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.729482
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.727586
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.723146
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.719982
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.717454
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.712766
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.708509
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.707753
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.706179
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.704787
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.704313
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.700871
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.697955
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.695169
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.693767
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.694049
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.690915
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.688304
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.686837
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.686474
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.686024
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.683411
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.681768
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.681262
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.682651
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.680683
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.680778
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.683271
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.680946
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.680861
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.679611
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.680144
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.680577
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.678724
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.679706
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.678725
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.681474
[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.680304
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.683193
Stopping. Best iteration:
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.678724

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06239
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.02279
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.992194
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.95676
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934444
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.907216
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.88659
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.868107
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.850227
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.833314
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.824224
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.813241
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.802116
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.795606
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.785861
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.77688
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.765894
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.761003
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759606
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.75756
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.746972
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741124
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.733226
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72342
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.71771
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.713369
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70883
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71391
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.712829
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.703068
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.697002
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.69445
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.691611
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.687531
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.691783
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.695189
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.695333
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.691974
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.689378
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.687531

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05823
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02455
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.992201
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.966363
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.934267
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.912301
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.886819
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.872936
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.85152
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83451
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.825009
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.8141
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.806558
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.797331
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.790887
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.779888
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.776622
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.770392
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.773357
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.77451
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.774863
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.774588
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.778718
Stopping. Best iteration:
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.770392

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05482
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01434
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.977795
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.953922
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.922478
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.907065
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.886442
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.87492
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.856327
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.842002
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.829645
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.822247
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80852
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798957
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789721
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.791646
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.782488
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.780889
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.776201
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.773673
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.781131
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.783178
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.783315
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.778123
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.779406
Stopping. Best iteration:
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.773673

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04425
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00656
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.977238
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.939347
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.917272
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.889037
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.866394
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.844449
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.825515
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.81087
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.799167
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.786526
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.773256
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.76024
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.753443
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.743825
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.736239
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.727581
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.724792
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.722223
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.717003
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.713255
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.708064
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.70366
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.697764
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.691992
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.688014
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.691394
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.690485
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.689514
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.689429
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.684416
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.679727
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.67862
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.677394
[35]	validation_0-merror:0.233333	validation_0-mlogloss:0.679248
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.676605
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.677615
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.676507
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.675578
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.678916
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.679795
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.680749
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.680396
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.67678
Stopping. Best iteration:
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.675578

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05234
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00515
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.974201
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.9443
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.913464
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.883083
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.863436
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.845651
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.825532
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.814468
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.806039
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.799064
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.790305
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.784805
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.77857
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.772221
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.770341
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767008
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.762275
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.756494
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.750715
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.749654
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.748335
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748299
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.752305
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.752139
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.751757
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.750865
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.75178
Stopping. Best iteration:
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748299

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04902
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01156
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.985291
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962395
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.933078
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.912582
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.889493
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.880015
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.861597
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.849184
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.841847
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.83477
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.819773
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.810236
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.798686
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.794962
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.790133
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.784306
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.780191
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.773646
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.773293
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.774549
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.773911
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.770492
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.766371
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.768563
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.769346
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.770699
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.765786
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.759244
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.757912
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.761826
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.760152
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.766075
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.765015
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.772601
Stopping. Best iteration:
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.757912

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05378
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01192
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.983363
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.950518
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.928548
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.903656
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.886494
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.865608
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.845903
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.829355
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.822098
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.808158
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.796295
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.789843
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.776869
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.77109
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.763406
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.753912
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.750627
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.745866
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.734069
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.730986
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.722462
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.71278
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.703983
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.700281
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.692979
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.696881
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.696849
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.692203
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.687109
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.684299
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.677687
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.67413
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.676583
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.678177
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.676373
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.674107
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.676519
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.67457
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.676203
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.672301
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.668185
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.663289
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.664238
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.665234
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.667045
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.662337
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.661448
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.669198
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.66435
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.667062
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.668142
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.669012
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.661448

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05958
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02531
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.986014
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.956695
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.922507
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.899163
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.876406
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.857733
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.835884
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.81836
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.805474
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.793306
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.784115
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.776204
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.775037
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.766352
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.765767
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.763781
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.761623
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.760799
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.76237
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.762612
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.763119
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.765298
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.765629
Stopping. Best iteration:
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.760799

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05629
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01792
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.981711
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.966227
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.939176
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921775
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.902664
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.890108
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.868653
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.855871
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.839772
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829865
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.813242
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.796605
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.787422
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.787162
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.778329
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.774093
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.766812
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.76113
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.758064
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.757028
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.752443
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.747657
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.743406
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.743798
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.743755
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.739089
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.73633
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.732441
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.728644
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.72543
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.722385
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.724936
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.72697
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.732495
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.72845
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.725027
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.722385

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05629
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.023
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.98929
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.96207
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.940075
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.921563
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.902464
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.882888
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.869856
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.851622
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.840958
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824618
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.810154
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.803534
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.796046
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.783909
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775269
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.770575
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.760245
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.75353
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746612
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740629
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.731661
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.726915
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.72265
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.717798
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.716397
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712877
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.708592
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707548
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.702972
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703105
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700061
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.700236
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.699492
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.693581
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.695556
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.692212
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.68952
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.686705
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.688439
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.684221
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.681488
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.679233
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.678749
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676714
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.676032
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.675803
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.679383
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.677609
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.677864
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.680768
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.678595
Stopping. Best iteration:
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.675803

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05817
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02689
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994916
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.964102
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.942405
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.922801
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.907278
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.894255
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.878844
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.864468
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.853002
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.842457
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.832935
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.818956
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.8105
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.802403
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.791081
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.784871
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.779872
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.772512
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.76492
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.75989
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.761948
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.756476
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.752642
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.752155
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.746077
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.741283
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.737026
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.735017
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.733734
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.731341
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.728326
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.727616
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.726861
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.728205
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.725372
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.727198
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.730473
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.727987
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.727509
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.728297
Stopping. Best iteration:
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.725372

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0602
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02954
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00448
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976907
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955616
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.9402
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.918846
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.904401
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.891229
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.88354
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.881678
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.876227
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.862392
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.852944
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.839514
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.833423
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.82648
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.820173
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.811068
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.803809
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.798833
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.793939
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.792221
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.786719
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.782477
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.778088
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.77217
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.770853
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.765387
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.763538
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.763526
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.761217
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.759733
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.754573
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.751749
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.752218
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.752102
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.748713
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.746973
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.744218
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.74099
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.738586
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.738218
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.736855
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.735796
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.73545
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.734088
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.73221
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.731242
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.730554
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.729801
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.72985
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.731914
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.730381
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.733085
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.733651
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.729801

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05104
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01001
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.975845
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.94622
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.943124
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.913243
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.891805
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.875043
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.855394
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.837121
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.820359
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807013
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.794426
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.783267
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.776613
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.771879
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.762335
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.750571
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.744338
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.738919
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.729799
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.724637
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.713999
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.708029
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.703656
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.702871
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.696181
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.69605
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.690982
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.690313
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.688282
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.684222
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.680646
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.679568
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.676044
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.673325
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.675717
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.674214
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.677872
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.674639
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.675501
Stopping. Best iteration:
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.673325

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06327
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03059
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.999463
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.96787
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.936007
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.915724
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.896006
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.88233
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.859881
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.847014
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.83442
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.825985
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.821344
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.811938
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.806452
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.796235
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.795959
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.790956
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.787381
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.787961
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.785703
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.783706
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.779443
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.774017
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.773189
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.770431
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.766484
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.76376
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.767032
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.763276
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.763669
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.767047
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.768908
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.766244
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.766505
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.763276

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06175
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03269
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00129
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.978969
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.948835
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.931689
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.913479
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.898108
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.879656
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.867483
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.856375
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.841022
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.825625
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.816905
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800602
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.796129
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.791803
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.785337
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.777606
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.768553
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.77137
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.771356
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.767738
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.762152
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.75851
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.753897
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.749695
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.747446
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.741538
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.737472
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.7411
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.743962
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.739408
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.742709
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.74235
Stopping. Best iteration:
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.737472

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04911
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01157
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.977814
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.947467
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.92421
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.904648
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.884441
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.867744
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855993
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.838866
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828804
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.818398
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809541
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.802788
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798748
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.791238
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77717
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772421
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.766297
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762789
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.75212
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747739
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.742953
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.731616
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.72577
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.719724
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.720933
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.712249
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.711633
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.713642
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.714205
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.715726
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.715633
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.716172
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.711633

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02339
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990442
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957909
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.935424
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.915604
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.895184
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.880402
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.860655
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.84984
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.839918
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.826463
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.822536
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.814093
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.804488
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.795261
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.784806
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.782293
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.781027
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773919
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.76828
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.761274
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.761487
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.759078
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.755337
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.758482
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.751379
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.750573
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.748142
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.746687
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746363
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.747585
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.747031
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.746613
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.750923
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.754706
Stopping. Best iteration:
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746363

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.0595
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.03389
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.996558
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.964731
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.942958
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92351
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.907273
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.89276
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.877482
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.866317
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.858669
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.848569
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.8329
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.826238
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.815952
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.804127
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.799486
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.79297
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.789668
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.780266
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.779694
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.773589
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.772332
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.765564
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.76385
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.761579
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.754216
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.752061
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.747653
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.746474
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.738908
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.736771
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.739179
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.741515
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.741592
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.74122
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.742004
Stopping. Best iteration:
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.736771

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04531
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00284
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.967918
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.936955
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.909614
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.889272
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.872563
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.855737
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.842505
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829982
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.817192
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807859
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.800604
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.795757
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788036
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.784446
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.776713
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.772248
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.768737
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.763789
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.759225
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.758717
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.757218
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.755899
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.757583
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.755556
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.753195
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.749023
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.749395
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.743943
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.743541
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.74346
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.741953
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.740373
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.735733
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.734588
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.732665
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.730454
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.728192
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.724187
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.722692
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.720483
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.716794
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.717413
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.717057
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.716839
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.713899
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.713491
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.712796
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.713363
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.712682
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.713734
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.716947
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.715859
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.717198
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.717296
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.712682

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04812
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00296
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.965932
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.934266
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.907489
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.886719
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.869001
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.848628
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.834785
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.826323
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.816756
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.8033
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.795049
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.788519
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.783934
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781664
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774988
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.771612
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.765488
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.765641
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.763869
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.7604
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.760542
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.755213
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.755349
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.756782
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.755546
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.754695
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.753711
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.756821
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.755424
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.755926
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.759003
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.759881
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.753711

[0]	validation_0-merror:0.266667	validation_0-mlogloss:1.04513
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00672
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.9738
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.9445
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.920481
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.900329
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.881901
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.870213
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.8566
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.842111
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.83348
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.824557
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.822292
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.817244
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.814152
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.814138
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.813865
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.812499
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.810448
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.807032
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.801907
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.801146
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.799648
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.800547
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.799634
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.800605
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.794687
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.794751
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.792767
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.78892
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.78944
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.787215
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.782327
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.781446
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.777484
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.778386
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.777928
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.777508
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.778469
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.77751
Stopping. Best iteration:
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.777484

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05629
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.023
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.98929
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.96207
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939889
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.921416
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.902364
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.882844
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.869826
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.851612
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.84095
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824638
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.810155
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.803558
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.796079
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.783966
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775313
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.770624
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.760312
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753601
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746691
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740721
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.731753
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.727031
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.722804
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.717951
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.716552
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.713001
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.708711
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.707651
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703054
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703173
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700878
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.698264
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.696448
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.692759
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.694707
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.695294
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.692719
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.690558
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.692287
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.688065
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.685361
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.684741
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.684266
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.68214
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.681416
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.680406
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.683467
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.68241
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.679147
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.682033
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.680178
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.67922
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.67959
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.678892
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.679163
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.677356
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.675418
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.671537
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.671776
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.671982
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.671383
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.670945
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.669749
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.667197
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.666738
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.666992
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.668405
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.667842
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.669696
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.670651
Stopping. Best iteration:
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.666738

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05817
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02689
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994916
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.964102
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.942405
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.922801
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.907278
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.894255
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.878613
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.86426
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852778
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.841924
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.832424
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.81844
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.809892
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.801776
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.79046
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.784227
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.779239
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77187
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.764301
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.75926
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.761322
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.755857
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.752025
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.751532
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.745444
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.740647
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.736365
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.734385
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.73309
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.730703
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.727423
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.726746
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.725964
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.727306
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.724436
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.726249
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.729504
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.727017
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.726564
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.72739
Stopping. Best iteration:
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.724436

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0602
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02954
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00448
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976907
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.955616
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.939203
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.917829
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.903387
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.890208
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.882502
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.880635
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.875191
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.86135
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.851909
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.838467
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.832372
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.822843
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.81656
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.812409
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.80522
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.80147
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.796682
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.794253
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.790197
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.786254
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.781906
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.777984
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.778654
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.772839
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.771083
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.771125
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.768772
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.767357
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.762038
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.75838
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.759909
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.760693
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.757315
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.754722
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.754129
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.750894
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.74853
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.747194
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.745766
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.744668
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.744184
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.742791
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.740883
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.739951
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.739173
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.735879
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.735987
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.738088
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.736194
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.736548
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.736547
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.735879

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05321
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02047
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.995754
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.962628
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.94353
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925841
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.9091
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.88869
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.873153
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.857855
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.846938
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.833714
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.821698
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.815196
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.800435
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.787067
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.779196
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.771552
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.766599
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762811
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.755558
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.748485
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.739977
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.734725
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.730856
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.720765
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.715171
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.713765
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.714161
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.708121
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.702166
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.699416
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.692317
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.689996
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.687338
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.682901
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.682016
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.683321
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.684021
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.684018
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.683565
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.679467
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.678783
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.678946
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.675115
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.673417
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.671777
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.666174
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.661997
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.662949
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.661969
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.662836
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.660908
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.663006
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.662002
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.661195
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.663969
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.661987
Stopping. Best iteration:
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.660908

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05706
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02414
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995372
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.967106
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.944108
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.920582
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904387
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.88731
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.871715
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.853452
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.843979
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.838728
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.826416
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.819054
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.808133
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.798604
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.794042
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.789143
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.781529
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.774597
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.766472
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.758489
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.752521
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.747489
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.74898
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.743106
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.735071
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.731626
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.728716
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.727014
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.727665
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.727004
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.722189
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.719802
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.718668
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.718897
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.717076
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.719977
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.718945
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.721059
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.719456
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.720132
Stopping. Best iteration:
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.717076

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06305
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02647
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.997766
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.973947
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952206
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.93074
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.909795
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.892737
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.873362
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.863251
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.852899
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.8412
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.830499
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.824841
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.81807
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.811723
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.805844
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.798924
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.791497
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.786216
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.780821
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.77418
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.767834
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.757813
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.750093
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.748042
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740617
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.736735
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.729698
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.725122
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.722062
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.716717
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.710456
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.710359
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.70818
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.70733
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.699925
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.695509
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.694509
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.692709
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.68867
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.688949
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.68719
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.686115
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.686656
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.685391
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.684503
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.681888
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.679126
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.680993
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.679617
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.679643
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.679788
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.681148
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.679126

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05115
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01325
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.98193
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.955006
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.93031
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.911834
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.895944
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.881547
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.8685
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.856251
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.8469
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839339
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.831672
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.823979
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.818041
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.810131
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.805265
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.798292
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789359
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.780006
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.779979
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.780359
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.777725
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.773877
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.770669
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.764918
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.764565
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.764624
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.76284
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.761728
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.761078
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.758231
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.757371
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.756781
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.757296
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.752063
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.750903
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.750571
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.75217
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.749818
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.74767
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.743727
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.744159
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.741802
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.74099
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.736682
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.736939
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.732331
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.73078
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.732555
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.731527
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.729055
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.730715
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.732494
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.733626
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.731645
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.731763
Stopping. Best iteration:
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.729055

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04787
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00745
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.972267
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.942822
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.919927
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.899458
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.878128
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.861113
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.845759
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.833448
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.822606
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.816865
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.811555
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.806758
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.799256
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.800035
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.793982
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.786705
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.78601
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.782585
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.780752
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.783633
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.781658
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.780123
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.781046
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.776724
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.774674
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.7773
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.777739
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.778014
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.779481
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.779
Stopping. Best iteration:
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.774674

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05152
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01219
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.979022
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.950874
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.931459
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.913099
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.902488
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.88353
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.869309
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.863503
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.852511
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.842463
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.833224
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.822989
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.824461
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.824818
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.820648
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.817004
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.809411
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.804876
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.802415
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.801991
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.798131
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.794939
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.791869
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.790573
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.78929
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.788344
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.781054
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.771087
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.767877
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.765763
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.764078
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.762742
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.76568
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.761754
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.762523
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.760268
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.764068
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.767462
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.767334
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.77104
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.769487
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.760268

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05028
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.00931
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.976703
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.949546
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.946196
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.917147
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.895443
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883631
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.865986
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.849052
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.831934
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.821885
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.809652
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.797747
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.788684
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.784345
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.77519
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.767127
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.764159
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.75751
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.748327
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.742199
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.729984
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.720497
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.714032
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714884
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.709095
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.709634
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.703631
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.703463
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.697085
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.692311
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.688029
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.687108
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.684868
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.681942
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.682416
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.681507
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.681916
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.683145
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.681133
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.679756
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.678622
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.678549
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.67653
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.676297
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.673388
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.672231
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.67176
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.67141
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.673089
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.67456
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.674579
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.678744
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.677348
Stopping. Best iteration:
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.67141

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06305
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0329
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00019
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.970966
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.943087
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.923461
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.903328
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.886698
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.861778
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.84958
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.837794
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.832222
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.823358
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.814192
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.807557
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.799179
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.79875
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.797029
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792105
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.790188
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.789142
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.785088
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.779987
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.777034
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.779796
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.779672
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.776478
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.777821
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.776329
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.773293
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.77249
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.774631
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.772926
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.770528
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.771838
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.77383
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.775988
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.780491
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.77963
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.770528

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06278
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0284
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997013
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.976955
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.951175
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.937892
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.927369
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.918177
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.900608
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.888981
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.874343
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.8611
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.849455
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.840227
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.825826
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.823114
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.822004
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.815123
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.804298
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.798839
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.800608
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.796706
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.79551
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.789344
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.78648
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.784929
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.781736
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.780453
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.774853
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.770564
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.768975
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.767914
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.765068
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.764284
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.761616
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.763767
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.768481
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.765047
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.764178
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.766577
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.761616

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06287
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.02378
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.99292
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.95868
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.936184
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.910128
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.890493
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.871423
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.854464
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.837398
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828551
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.814792
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.802513
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.791308
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.77889
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.769938
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.757687
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.751833
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.747645
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.744708
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.737396
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.731598
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.722942
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.7138
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.70597
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.701874
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.696321
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.698058
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.69475
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.682834
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.677193
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.674823
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.671595
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.666926
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.669174
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.671961
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.671861
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.669016
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.669669
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.666926

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05823
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.984713
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.958783
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.926765
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.905215
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882793
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868471
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.847057
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.829647
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.818872
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804783
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.793698
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.783715
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.778729
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.767823
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.763903
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.757629
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.754503
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.754573
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754123
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.753243
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754935
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.755048
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.758327
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.757648
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.756265
Stopping. Best iteration:
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.753243

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05482
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01436
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.978909
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.955248
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.923517
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.905717
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.886397
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.873629
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.853426
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.842206
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.826489
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.820114
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.805294
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.798013
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.787103
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.790428
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.782582
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.780279
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.775301
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.77331
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.773998
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.776189
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.776205
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.769758
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.768934
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.773409
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.772446
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.772637
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.770243
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.76702
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.764749
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.761607
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.759582
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.761417
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.762482
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.769312
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.765296
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.759113
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.762126
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.765147
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.772873
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.76977
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.767196
Stopping. Best iteration:
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.759113

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05319
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01661
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.98389
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957102
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.933361
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.911513
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894458
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.875597
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.860516
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.845637
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.829378
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.820117
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.809333
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.797202
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.790178
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781609
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774166
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.768058
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759536
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.753279
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.745298
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.741313
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.73474
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.729869
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.730926
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.726765
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722875
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.72224
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.716456
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712324
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.707787
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.703209
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.701821
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.698117
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.694443
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.694261
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.691714
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.68746
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.683554
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.683267
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.683492
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.681587
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.682911
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.681791
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.680038
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.681585
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.682517
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.684728
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.684018
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.684835
Stopping. Best iteration:
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.680038

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05547
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01987
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990724
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.963656
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941415
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923077
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.907852
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.892961
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.878687
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.868637
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.854829
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.842842
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.83503
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.825436
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.819627
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.809435
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.801614
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792741
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.7928
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.787746
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.782828
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.776984
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.773407
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.770456
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.767431
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.763838
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.756227
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.75178
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.748989
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.74647
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.74224
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.740189
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.736037
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.731566
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.728776
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.727354
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.724038
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.721929
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.721823
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.719591
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.719946
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.719262
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.717498
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.718157
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.719328
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.717529
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.716041
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.714319
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.713434
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.713208
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.711666
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.710018
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.709432
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.708505
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.707427
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.708658
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.707738
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.70808
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.706769
[59]	validation_0-merror:0.333333	validation_0-mlogloss:0.706968
[60]	validation_0-merror:0.333333	validation_0-mlogloss:0.708591
[61]	validation_0-merror:0.333333	validation_0-mlogloss:0.707696
[62]	validation_0-merror:0.333333	validation_0-mlogloss:0.707573
[63]	validation_0-merror:0.333333	validation_0-mlogloss:0.708077
Stopping. Best iteration:
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.706769

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05916
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02611
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994486
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.973997
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950669
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935467
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.918517
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901938
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.890942
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.878065
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.865067
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.8564
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.846713
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.839065
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.832761
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.819538
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.813601
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.806633
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.797196
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.792266
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.783326
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.780706
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.774413
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.77261
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.769116
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.765775
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.763464
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.758327
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.75391
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.748226
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.74693
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.743617
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.740483
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.738451
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.734002
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.731865
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.726533
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.722681
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.719912
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.716573
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.71453
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.713273
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.709358
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.706643
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.705896
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.704493
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.703768
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.699454
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.696421
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.695243
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.693727
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.69218
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.690546
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.689929
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.689589
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.686808
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.685998
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.68354
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.683142
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.680283
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.679155
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.679212
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.679036
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.677627
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.677984
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.674838
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.673503
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.673549
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.673081
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.672746
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.672723
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.672991
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.672769
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.670048
[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.667758
[75]	validation_0-merror:0.266667	validation_0-mlogloss:0.668514
[76]	validation_0-merror:0.266667	validation_0-mlogloss:0.666152
[77]	validation_0-merror:0.266667	validation_0-mlogloss:0.666564
[78]	validation_0-merror:0.266667	validation_0-mlogloss:0.667724
[79]	validation_0-merror:0.266667	validation_0-mlogloss:0.66833
[80]	validation_0-merror:0.266667	validation_0-mlogloss:0.666967
[81]	validation_0-merror:0.266667	validation_0-mlogloss:0.666168
Stopping. Best iteration:
[76]	validation_0-merror:0.266667	validation_0-mlogloss:0.666152

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05751
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02027
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985792
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.955873
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.930529
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.907135
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.888814
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.871186
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853071
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.840368
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830204
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.812492
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.799046
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.786151
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.776056
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.768972
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.760847
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.752135
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.746927
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.736463
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.726008
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.721753
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.718248
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.714742
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.711582
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.705444
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.703319
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.698022
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.697029
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.693745
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.694164
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.692147
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.688795
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.68539
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.687934
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.687286
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.686266
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.687019
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.689235
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.68539

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05265
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01558
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978851
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951762
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.924931
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.900093
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.881359
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.863634
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.851298
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.84045
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.826775
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.815211
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.810736
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.803558
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797169
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.791215
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.790018
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.786269
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.779475
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.777363
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775219
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.772325
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.771709
[23]	validation_0-merror:0.416667	validation_0-mlogloss:0.770076
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.764827
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.763704
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.764392
[27]	validation_0-merror:0.416667	validation_0-mlogloss:0.766849
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.76962
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.768985
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.767606
Stopping. Best iteration:
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.763704

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06331
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02692
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.991321
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.959568
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.929181
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.907468
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.883927
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.867833
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.850556
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.840533
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.831527
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.822277
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.813721
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.805836
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791809
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.788837
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.779887
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.771567
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.770444
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.761247
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.760477
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.760657
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.755233
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.748448
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.739838
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738766
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.73663
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.733756
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.730096
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.727361
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.726143
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.72611
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.725686
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.721211
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.723807
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.72667
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.729062
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.728956
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.726561
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.721211

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04962
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00896
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.978064
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.948923
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.925776
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907375
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.888654
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868434
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.851202
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.83331
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.823399
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.806614
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.796491
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.789237
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.782162
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.772236
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765837
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.762403
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.755597
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.750639
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.742823
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.734695
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731929
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.730573
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.724785
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.720042
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.717011
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.712787
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.71084
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.713556
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.71215
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.714567
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.713451
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.715037
Stopping. Best iteration:
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.71084

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04706
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.00981
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.970751
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.934102
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.914714
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.901882
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.879351
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.861255
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.845025
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.832816
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.820272
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.811488
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.805742
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.798493
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.78609
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.781881
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.777619
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.770692
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.764305
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.76038
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.760001
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.757922
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.763385
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.761322
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.763424
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.76492
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.764851
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.757922

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05133
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01452
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.981403
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.947747
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.926934
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.909607
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.885187
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.868356
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.853522
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.847506
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.838643
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.833196
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.824079
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.823146
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.809921
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.79951
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.788785
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.781005
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.777618
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.76848
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.761826
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.76234
[22]	validation_0-merror:0.25	validation_0-mlogloss:0.757191
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.755154
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.758426
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.759558
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.7606
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.760078
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.760998
Stopping. Best iteration:
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.755154

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05463
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01756
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.986296
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.958132
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.934568
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915419
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897506
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.876489
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.865152
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.848719
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.838916
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829314
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.820507
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.81147
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799488
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787961
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.781379
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773113
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.768718
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.762154
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.756477
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.754098
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.748429
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.740165
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.736057
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.735847
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.732936
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.728779
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.723923
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722462
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.719185
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.716109
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.711252
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.710719
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.705955
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.701866
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.697962
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.693837
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.693793
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.694409
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.691793
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.692556
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.692885
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.694284
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.693123
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.692034
Stopping. Best iteration:
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.691793

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01855
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989064
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961772
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.940064
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.919515
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.903489
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.88863
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.873529
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.863457
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.848874
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839976
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.828067
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.821968
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.810682
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.80288
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.797696
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.792869
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785622
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77898
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.776549
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.771142
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.76483
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.764943
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.760447
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.756985
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.751344
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.750132
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.744629
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.742231
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.737797
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.731992
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.727863
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.725023
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.722149
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.720304
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.717653
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.715135
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.713195
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.712992
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.71051
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.709105
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.709139
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.70744
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.707242
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.706729
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.705764
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.705223
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.704272
[49]	validation_0-merror:0.35	validation_0-mlogloss:0.704964
[50]	validation_0-merror:0.35	validation_0-mlogloss:0.706182
[51]	validation_0-merror:0.35	validation_0-mlogloss:0.705065
[52]	validation_0-merror:0.366667	validation_0-mlogloss:0.707399
[53]	validation_0-merror:0.366667	validation_0-mlogloss:0.707409
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.704272

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05873
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02659
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994819
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975766
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950898
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935575
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.917964
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.907377
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.890409
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.877987
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.870411
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.857516
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.844253
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.836424
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.830658
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.823036
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.811803
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.806304
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.798579
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.793226
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.785752
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.781131
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.776397
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.773624
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.76895
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.766098
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.762808
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.759108
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.754129
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.751482
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.747848
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.745534
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.740972
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.739629
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.737075
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.734075
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.72653
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.722909
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.721157
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.716794
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.714101
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.711859
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.711586
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.708509
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.707837
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.705725
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.704082
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.701479
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.700158
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.698771
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.700101
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.700381
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.698229
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.69733
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.698853
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.699286
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.698076
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.698945
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.696587
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.694931
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.69417
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.69301
[62]	validation_0-merror:0.316667	validation_0-mlogloss:0.689381
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.687874
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.692816
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.694814
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.694543
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.695916
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.694334
Stopping. Best iteration:
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.687874

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05637
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02126
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987607
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957727
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938391
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915381
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.89566
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.877049
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.862081
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.844777
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.833446
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.815798
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80223
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.791698
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.783859
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.773604
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.766649
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763302
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.753992
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.748354
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.741825
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.732602
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.72137
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.715615
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.708167
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.704963
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.701903
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.697124
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.690584
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.689635
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.684491
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.683718
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.679739
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.679553
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.677364
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.671714
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.671943
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.669091
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.665411
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.662756
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.66268
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.65893
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.656993
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.656516
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.652469
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.651939
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.65383
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.652088
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.65405
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.652893
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.65126
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.654442
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.649168
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.653097
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.654706
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.654175
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.655108
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.652903
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.649168

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05546
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02395
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.992694
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959635
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.939869
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.922923
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.901291
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.890537
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.879516
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.865606
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852578
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.841058
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.830073
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.820154
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.809705
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.800433
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.789962
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.785311
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.777948
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.771938
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.766046
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.758796
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.757954
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.756001
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.753812
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.752516
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.746214
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.742054
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.741922
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.740236
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.739434
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.737695
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.735922
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.73319
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.730957
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.728613
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.726453
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.721913
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.726055
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.721929
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.722634
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.724304
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.724039
Stopping. Best iteration:
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.721913

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03007
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00499
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.975868
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952913
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936704
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.914921
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900157
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.884397
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.874682
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.868935
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.863068
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.850358
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.834583
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.81799
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.80646
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.802578
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.793252
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.786268
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.773408
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.768337
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.764725
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.760941
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.75295
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.747332
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.742827
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.736993
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.732429
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.729698
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.726446
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.719418
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.716556
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.713765
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.711036
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.70954
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.711321
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.704929
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.701486
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.69983
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.699749
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.697004
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.694443
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.694985
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.694757
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.694214
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.690075
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.691491
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.690946
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.689556
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.687539
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.684396
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.68314
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.68213
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.681307
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.680958
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.67819
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.676759
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.679525
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.680951
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.678941
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.678917
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.678238
Stopping. Best iteration:
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.676759

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05446
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02768
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.998338
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.971385
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.96248
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.938662
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.91934
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.901949
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.884681
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.863714
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.849352
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.833769
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.820668
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.80755
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.797713
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.795514
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.782982
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771612
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.768504
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.763721
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.753045
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745823
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.742335
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.73751
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.726592
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.726742
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.719852
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.7174
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.711217
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.709538
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.706674
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.702317
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.700886
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.698686
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.698161
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.693917
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.694171
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.692936
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.695082
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.69433
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.696863
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.697474
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.697363
Stopping. Best iteration:
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.692936

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06457
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04173
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00733
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.98166
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.947489
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.929201
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.911095
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.894554
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.877953
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.862431
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.845043
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.833365
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.826923
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.817986
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.811658
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.80397
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.798754
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.788959
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.783437
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.775331
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772498
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.767896
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.766339
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.764006
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.762623
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.760678
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.759464
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.757083
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.753841
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.752895
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.752866
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.74976
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.74878
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.749212
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.751475
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.748841
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.746407
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.745701
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.74605
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.745976
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.743813
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.740602
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.740706
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.740636
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.73936
[45]	validation_0-merror:0.383333	validation_0-mlogloss:0.736908
[46]	validation_0-merror:0.383333	validation_0-mlogloss:0.737745
[47]	validation_0-merror:0.383333	validation_0-mlogloss:0.73402
[48]	validation_0-merror:0.383333	validation_0-mlogloss:0.734953
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.734937
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.730774
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.732167
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.730311
[53]	validation_0-merror:0.383333	validation_0-mlogloss:0.731145
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.737984
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.736927
[56]	validation_0-merror:0.383333	validation_0-mlogloss:0.73625
[57]	validation_0-merror:0.383333	validation_0-mlogloss:0.734949
Stopping. Best iteration:
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.730311

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0657
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03649
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.997903
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.976761
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954021
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.928689
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.912406
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.898859
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.880971
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.868459
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849276
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.836091
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.824579
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.8104
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799276
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797463
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.792392
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.787166
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.779901
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.775901
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.769736
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.764621
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.764083
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.757556
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.756927
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.754749
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.750111
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.742197
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.740711
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.736144
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.73252
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.729124
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.72818
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.727565
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.72556
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.723896
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.718151
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.718954
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.715486
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.713489
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.707091
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.705091
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.706194
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.702077
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.698018
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.693377
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.693885
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.694639
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.692909
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.694311
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.690506
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.688811
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.684899
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.686236
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.690761
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.689355
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.689763
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.687914
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.684899

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06128
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998155
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.972639
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.964555
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.938156
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.919305
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.904021
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.887284
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.870465
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.859862
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.844928
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831485
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.820864
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.815095
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.812968
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80069
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.788928
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.783221
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.777427
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.768146
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.76031
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.752812
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.7493
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.739199
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.740064
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.733548
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.730756
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.725033
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.721862
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.716111
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.711207
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.711786
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70819
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707156
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.705747
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.7074
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.704083
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.707038
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.704937
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.708234
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.704285
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.701627
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.696899
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.698038
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.695907
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.697822
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.695936
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.695131
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.698698
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.698993
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.702585
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.703602
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.703442
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.695131

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06533
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04297
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.0066
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982471
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950579
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.930601
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.912368
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.893735
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.87568
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.859966
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.842686
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833959
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.829296
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.82016
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.813224
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806181
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800177
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.794883
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.787202
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.780661
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775524
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.76834
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.766956
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.765279
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.76444
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.761343
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.759745
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.757836
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.754714
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.752507
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.752502
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.749353
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747138
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.746323
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.748018
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.750223
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.745648
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.749624
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.749421
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.748463
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.745499
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.742384
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.743051
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.742577
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.740672
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.743042
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.743674
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.743435
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.748033
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.747086
Stopping. Best iteration:
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.740672

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04078
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00238
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.981194
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95575
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932988
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.911602
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.8983
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.883418
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.870832
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849772
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.837061
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.82408
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808817
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797392
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795548
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.78884
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.782301
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.768802
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.765972
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.759306
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.750695
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.747612
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.737814
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.736958
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.732947
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.72815
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.722253
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.721421
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.715637
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.710268
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706613
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.706971
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.708223
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.706233
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.705341
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.697662
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.698163
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.696036
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.69226
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.686393
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.683997
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.685793
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.681404
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.67977
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676546
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.678228
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.678334
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.681006
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.682115
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.678277
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676546

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05087
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01294
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.9861
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957684
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.951177
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.924554
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.906688
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887225
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.869968
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.849382
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.835382
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822132
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808042
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.797465
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.789159
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.784503
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77453
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.763234
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.758702
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.753415
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.744775
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740881
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.729606
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.721789
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.712731
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.710168
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.704337
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.704907
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.70229
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.700486
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.696824
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.691653
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.688386
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.686438
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.684222
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.67785
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.676672
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.672436
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.674473
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.672415
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.674432
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.67034
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.670262
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.669409
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.667518
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.664751
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.664377
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.663816
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.662062
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.659084
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.659733
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.661655
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.660974
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.662287
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.664138
Stopping. Best iteration:
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.659084

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06353
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02989
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.998805
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.96932
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.941237
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923203
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.907653
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.891517
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.870373
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.854097
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.841414
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.830489
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.824906
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.815244
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810019
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799568
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.79647
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.790819
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785537
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.781604
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.777249
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.771176
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.766319
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.764586
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.76612
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.763898
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.759469
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.755066
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.75332
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.749161
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.750849
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.751552
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.751457
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.752548
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.752283
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.749161

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06659
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03873
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00892
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.981404
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.960432
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.937604
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.91775
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.904703
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.887132
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.869258
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.856381
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.84438
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831714
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.820275
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.810733
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.804576
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.799516
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.792133
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.786111
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.776494
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.773951
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.771073
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765285
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.758916
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.759159
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.752324
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.750225
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.744008
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.741241
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.737714
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.739674
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.733177
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.728269
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.730015
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.725984
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.726855
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.726047
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.725507
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.723938
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.725382
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.719969
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.718334
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.718605
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.718168
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.719615
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.716693
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.711875
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.711324
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.71098
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.714851
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.709647
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.711173
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.709291
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.708602
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.712462
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.711687
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.709523
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.707712
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.707865
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.708799
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.712394
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.716426
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.720349
Stopping. Best iteration:
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.707712

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.058
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0228
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.996423
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.961755
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.952762
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.927651
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.906666
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.892754
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875811
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.857486
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.845124
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.834618
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.819838
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.809269
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.802258
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.802466
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.789129
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.779399
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.772907
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.767219
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.757697
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.747651
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.740506
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.732297
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723723
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.723713
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.714544
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.710433
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.706731
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.700621
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.692721
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.690003
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.685902
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.680029
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.678994
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.676293
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.672834
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.665667
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.667003
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.662315
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.666123
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.666755
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.66512
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.665964
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.665591
Stopping. Best iteration:
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.662315

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06125
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03608
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.997516
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.971139
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.935974
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.91452
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.893281
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.87614
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858531
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.844742
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.828983
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818126
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.813794
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.805475
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.799016
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.787264
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.785607
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.780802
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.779438
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.772345
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.772657
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.766427
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765758
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.762053
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.764132
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.76236
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.758237
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.754593
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.749106
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.746862
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.744242
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.744606
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.746534
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.746519
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.75249
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.749054
Stopping. Best iteration:
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.744242

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06148
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.03724
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.995145
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.972525
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.93675
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.915449
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904349
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.891631
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.872309
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.858044
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.840009
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.831777
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.820725
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.806014
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789916
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.78277
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774842
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.772281
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.761691
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.752965
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.751233
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.746187
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.739238
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.731951
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.729585
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.724172
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.715673
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.709201
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.707047
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.703684
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.701385
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.701487
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.700153
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.702249
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.705034
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.710312
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.70578
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.705919
Stopping. Best iteration:
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.700153

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05083
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01259
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.979138
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.950866
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.928139
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906804
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.88449
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.86616
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.846423
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829971
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.817639
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.804522
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.794603
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.787243
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.780866
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.769702
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.761635
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.7605
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.752951
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.750319
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.741676
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.739845
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.733613
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.725743
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.72178
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.718768
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.716716
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.712547
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.709257
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.709168
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.706983
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.705847
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.704941
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70678
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.706968
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.705085
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.70419
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.70861
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.70615
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.704418
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.704828
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.703808
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.701346
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.700941
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.703931
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.701579
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.701446
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.702661
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.703029
Stopping. Best iteration:
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.700941

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05653
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01951
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.984397
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.953788
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.930788
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.914746
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.899766
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.888898
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.876851
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.861386
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.847849
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.840007
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.831393
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.82198
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.814526
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.810371
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.803497
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.796845
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.790139
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.787124
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.785787
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.780292
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.781966
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.776749
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.778089
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.779684
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.771768
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.769831
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.77183
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.772561
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.772268
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.772562
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.774144
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.769831

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994168
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.9616
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.939901
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.92368
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.90348
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885852
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875063
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.867492
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.85298
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.843626
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.832658
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.827671
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.819471
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.814867
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.811693
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.808987
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.8037
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.79
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.787315
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.788292
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.781994
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.77641
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.777675
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.778229
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.772706
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.771505
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.774441
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.771279
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.770089
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.766873
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.764292
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.762754
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.761561
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.76498
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.765435
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.768553
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.766406
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.767547
Stopping. Best iteration:
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.761561

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0474
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01178
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.980343
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.944344
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.923011
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.89424
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.870643
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.850495
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.833068
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.817348
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.804866
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.789602
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.779838
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.767097
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.758616
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.747416
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.738338
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.730058
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.727296
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.725934
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.719701
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.715762
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.709668
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.708294
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.706845
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.706207
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.699859
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.700479
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.700798
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.699791
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.695847
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.695553
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.691176
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.690836
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.691147
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.691917
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.691201
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.695043
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.69498
Stopping. Best iteration:
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.690836

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0518
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00588
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.973747
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.939191
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.913414
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.884904
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.866099
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.847891
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.824927
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.810365
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.803668
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.798124
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.789326
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.782623
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.779588
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.771875
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.769932
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763679
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.756482
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.752027
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.745345
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.746383
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741365
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.740891
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.745418
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.741509
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740237
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.741291
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.741257
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.740352
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.741172
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.746951
Stopping. Best iteration:
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740237

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0522
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01511
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.982565
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.963391
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938486
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.918672
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.898792
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.887565
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.864844
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.854209
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.848005
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.832651
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.821279
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.80901
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.797636
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.792566
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.790278
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.7816
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.775272
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.768903
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.763701
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.764339
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.758311
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.754679
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.749739
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.750709
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.750872
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.748192
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.745443
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.739883
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.738107
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.741411
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.739259
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.741462
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.738709
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.742231
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.738107

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04967
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.0046
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.971434
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.939245
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.914761
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.893059
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.875114
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.860335
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.845551
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.833209
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.82302
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.814265
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.80294
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.797786
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790638
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.783357
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773083
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.76578
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759076
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.756942
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.753329
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749788
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.751283
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.74661
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.743652
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.74504
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.742262
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.740592
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.740963
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.741593
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.740241
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.740078
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.740174
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.741753
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.744004
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.744063
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.747117
Stopping. Best iteration:
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.740078

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04752
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00655
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.970633
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.938982
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.914326
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.890585
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.872613
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.856682
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.838205
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.825456
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.813195
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.799063
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.796754
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.789369
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.785943
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.780963
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779362
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.777825
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.774037
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.775568
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.775579
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.774246
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.777869
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.772142
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.773466
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.778103
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.774682
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.776332
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.778658
Stopping. Best iteration:
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.772142

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04838
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00959
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976829
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.94484
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.917021
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.891561
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.876595
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.85969
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.84644
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.835896
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.824684
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.819867
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.816277
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.811934
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.808928
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.806135
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.803432
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.802783
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.804279
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.807165
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.807978
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.809308
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.811656
Stopping. Best iteration:
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.802783

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05087
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.01291
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.986075
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.957666
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.951163
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.924552
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.906555
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.887541
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.870264
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.850973
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.836084
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822873
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.808811
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.799108
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790053
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78563
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776376
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.764783
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759485
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754391
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.745566
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.740862
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.72866
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.720918
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.711945
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.709259
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.702884
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.702999
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.700311
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.699165
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.696031
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.690857
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.687703
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.684501
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.683425
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.678119
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.675835
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.672577
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.674549
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.672518
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.674634
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.670596
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.670838
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.670158
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.668301
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.665535
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.665333
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.664537
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.662989
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.660111
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.660814
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.663073
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.662428
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.66321
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.664925
Stopping. Best iteration:
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.660111

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06325
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02888
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998047
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.967664
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.93985
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.922295
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.90694
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.891517
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.869827
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.853677
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.840981
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.829354
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.823859
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.812922
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.806965
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799016
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.795451
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.788776
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.783508
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.779616
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775685
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.770242
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.766693
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.763076
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.764455
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.761719
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.757293
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.753319
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.7513
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.747894
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.749485
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.749875
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747836
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.748827
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.748645
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.748423
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.749199
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.751388
Stopping. Best iteration:
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747836

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03758
[2]	validation_0-merror:0.316667	validation_0-mlogloss:1.00713
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.979684
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.958748
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.935964
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.916192
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.903202
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.88656
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.868668
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.855773
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.843898
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831214
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.819749
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.809787
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.803766
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.79874
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.790731
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.784751
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.775131
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.772815
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.769707
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.763582
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.7571
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.757272
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.750813
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.749958
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.744222
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.741212
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.737079
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.739318
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.73245
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.727988
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.729662
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.725519
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.726566
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.722812
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.722182
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.718385
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.719909
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.714609
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.714011
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.714622
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.714552
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.715948
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.712888
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.708154
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.707626
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.710459
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.715212
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.710101
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.711872
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.710169
Stopping. Best iteration:
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.707626

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.0578
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0233
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.996704
[3]	validation_0-merror:0.45	validation_0-mlogloss:0.962015
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.953261
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.928013
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.908452
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.892874
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.874828
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855256
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.843001
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.831904
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.817182
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.807817
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.802758
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.802002
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.788981
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.77944
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.772425
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766628
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.754879
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745251
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736621
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.728362
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.721814
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.721846
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.710993
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.705416
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.700705
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.693757
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.684123
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.679534
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.675156
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.669372
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.668815
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.666743
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.663897
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.657818
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.659063
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.654449
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.657836
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.65804
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.655942
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.654604
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.653602
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.651951
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.649287
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.647363
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.649506
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.65179
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.651062
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.653763
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.653382
Stopping. Best iteration:
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.647363

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05977
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03476
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994928
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.968505
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.935257
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.913253
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.891491
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.873853
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855339
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.840505
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826185
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.814046
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.809637
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.801146
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.794619
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.783723
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.782169
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.78101
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.778973
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.770279
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.771222
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.764553
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.764661
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.760895
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.76459
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.762742
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.758723
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.755403
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.749801
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.747601
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.747042
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.748093
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.750031
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.749841
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.755888
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.752557
Stopping. Best iteration:
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.747042

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05861
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.283333	validation_0-mlogloss:1.03305
[2]	validation_0-merror:0.216667	validation_0-mlogloss:0.99152
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.967728
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.932072
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.908885
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.896399
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883408
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864274
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.849271
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.83049
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820268
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.805762
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.791452
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.776198
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.770561
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.762398
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.759824
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.749091
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.739954
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.736968
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.733857
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.726904
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.71915
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.71889
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.716759
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.708274
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.702061
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.700532
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.695403
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.692901
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.693274
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.694806
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.699824
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.701757
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.707122
Stopping. Best iteration:
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.692901

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06135
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02496
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998763
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.965218
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.944513
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.920399
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.901523
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885842
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.865485
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.852847
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.842449
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.82766
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.815737
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.808209
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.796061
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781833
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773846
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.76329
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759566
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.754442
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748486
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.742803
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.733742
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72693
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.718211
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.711928
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.705198
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.703151
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699906
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.691985
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.688949
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.685004
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.680844
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.680004
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.68006
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.68186
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.681799
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.676315
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.675992
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.673862
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.67006
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.66973
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.664759
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.664335
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.665333
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.664082
[46]	validation_0-merror:0.25	validation_0-mlogloss:0.665663
[47]	validation_0-merror:0.25	validation_0-mlogloss:0.661705
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.660094
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.664328
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.661897
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.66709
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.667153
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.669201
Stopping. Best iteration:
[48]	validation_0-merror:0.25	validation_0-mlogloss:0.660094

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05716
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02075
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.9857
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.960764
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.933283
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.912794
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.892119
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.874686
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.857947
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.840138
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.826236
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.813742
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.798427
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79209
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.786537
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.77761
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.773709
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767393
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.765581
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.762178
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.759453
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.754169
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.754989
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.752589
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.75506
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.750224
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.743638
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.738791
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.733774
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.73609
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.73743
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.735407
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.734959
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.730424
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.732774
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.73355
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.727141
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.728933
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.72823
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.72446
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.724424
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.720822
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.719949
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.71564
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.717871
[45]	validation_0-merror:0.35	validation_0-mlogloss:0.71893
[46]	validation_0-merror:0.35	validation_0-mlogloss:0.725298
[47]	validation_0-merror:0.35	validation_0-mlogloss:0.725351
[48]	validation_0-merror:0.35	validation_0-mlogloss:0.726085
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.71564

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06252
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02418
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.990121
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.966782
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.941027
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.918044
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.896848
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.880657
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.864328
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.85096
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.832307
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.821503
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.81062
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.793255
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.78472
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781833
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773133
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767838
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.757262
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.750612
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.747985
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.741256
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.736934
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.727849
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.726378
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.72425
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.721865
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.720266
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.715872
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.709834
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703318
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.697473
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.69227
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.694726
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.692043
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.691857
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.683621
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.68059
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.679016
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.677673
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.678169
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.673696
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.673216
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.668324
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.664713
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.664434
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.666162
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.663991
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.663308
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.662975
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.660804
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.660804
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.656654
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.658047
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.662507
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.66025
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.657942
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.657301
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.656654

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04907
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01052
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977855
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.951682
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.929663
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.909241
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.888031
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.86923
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.85063
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.83298
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.82064
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804888
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.792431
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.786163
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.782807
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.774283
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.764839
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.75956
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.74863
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.746956
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.737963
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.731914
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.724006
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.72002
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.714137
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.715751
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.714812
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.708843
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.707196
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.70627
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.705118
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.705102
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.703829
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.704573
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.706332
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.703705
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.707743
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.70489
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.702498
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.701937
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.702443
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.701864
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.700001
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.70055
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.703643
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.704358
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.703578
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.703407
Stopping. Best iteration:
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.700001

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04959
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01519
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980915
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.945639
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.922503
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.901156
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.885609
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.876466
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.863884
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.850232
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.833803
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.826195
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.81877
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.809581
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.797695
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.790572
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.784098
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.779767
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.772463
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.765784
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.76509
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.763253
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.768114
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.762889
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.76032
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.765168
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.760934
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.760768
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.763132
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.764917
Stopping. Best iteration:
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.76032

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.0548
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01454
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.985477
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.954951
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.936736
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.921607
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.900822
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.885648
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875233
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.869453
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.865431
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.858649
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.849421
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.845615
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.833321
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.823393
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.813688
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.803768
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.800458
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.789323
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.786059
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.783872
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.776839
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.771912
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.77044
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.769127
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.767738
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.767492
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.769155
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.771037
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.771024
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.770823
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.768146
Stopping. Best iteration:
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.767492

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05358
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02012
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.987592
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962154
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.930433
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.903767
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.884688
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.875211
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.85969
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.845663
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.834777
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.8199
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.799782
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.783686
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.772538
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.765963
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.756428
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.74649
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.739045
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.729408
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.724004
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.719715
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.714827
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.710564
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.705707
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.699391
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.693612
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.69
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.688437
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.685658
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.681886
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.677714
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.673605
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.669638
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.663663
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.663346
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.663671
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.66425
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.664766
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.66501
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.66678
Stopping. Best iteration:
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.663346

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05466
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.0278
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.996363
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.974581
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.948123
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.925204
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.91
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.899929
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.888736
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.880006
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.867305
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.849409
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.834798
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.821923
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.815059
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.806191
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.796262
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.791766
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789362
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.783706
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.782909
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.780158
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.77886
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.776328
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.775683
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.773751
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.777452
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.772754
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.773044
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.773686
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.777243
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.779198
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.779035
Stopping. Best iteration:
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.772754

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06223
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03286
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00049
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.981795
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957162
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.929954
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.911073
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.894887
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.874696
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.857985
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.841975
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.825328
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.805911
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.793269
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.785834
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.77619
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.766133
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.757687
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.752552
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.744723
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743305
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.743357
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.738231
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.730075
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.723878
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.719687
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.71636
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.71136
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.70721
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.705056
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.706901
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.708148
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.701966
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.699511
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.696597
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.694648
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.698692
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.701374
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.698717
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.696614
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.694914
Stopping. Best iteration:
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.694648

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05004
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00364
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.969367
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.935169
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.910969
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.887086
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.869165
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.854079
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.842157
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.831369
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.824253
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.814489
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.8084
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.802012
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.794852
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.790112
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.784047
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.778651
[18]	validation_0-merror:0.233333	validation_0-mlogloss:0.775596
[19]	validation_0-merror:0.233333	validation_0-mlogloss:0.770084
[20]	validation_0-merror:0.233333	validation_0-mlogloss:0.769193
[21]	validation_0-merror:0.233333	validation_0-mlogloss:0.764492
[22]	validation_0-merror:0.233333	validation_0-mlogloss:0.760707
[23]	validation_0-merror:0.233333	validation_0-mlogloss:0.75911
[24]	validation_0-merror:0.233333	validation_0-mlogloss:0.757964
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.757463
[26]	validation_0-merror:0.233333	validation_0-mlogloss:0.757312
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.756741
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.756437
[29]	validation_0-merror:0.233333	validation_0-mlogloss:0.758194
[30]	validation_0-merror:0.233333	validation_0-mlogloss:0.760599
[31]	validation_0-merror:0.216667	validation_0-mlogloss:0.762986
[32]	validation_0-merror:0.216667	validation_0-mlogloss:0.76431
[33]	validation_0-merror:0.216667	validation_0-mlogloss:0.764806
Stopping. Best iteration:
[28]	validation_0-merror:0.233333	validation_0-mlogloss:0.756437

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0487
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00843
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.971291
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.939222
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.915326
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.894138
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.873171
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.86037
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.847723
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.837394
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.827033
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.814944
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.807197
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.795246
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.793752
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.790701
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.792987
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.788107
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.786824
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.78328
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.78192
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.776882
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.780036
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.779771
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.784628
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.782394
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.78787
Stopping. Best iteration:
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.776882

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04838
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00959
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976829
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.94484
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.917021
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.891941
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.876981
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.860498
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.845817
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.832188
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.822773
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.817657
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.814499
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.80933
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.80627
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.808027
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.799881
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.793244
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79047
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.790879
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.794267
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.797932
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.801092
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.804712
Stopping. Best iteration:
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79047

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05582
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02895
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00127
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.965521
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.943955
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921273
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.899859
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.882451
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867067
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852006
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.839394
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.825836
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.815939
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.809792
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.795383
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781021
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.772485
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.76518
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759683
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.758893
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.7515
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.746268
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736339
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.729159
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.724967
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.718739
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.712602
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.711817
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.710605
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.708832
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.704942
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.700045
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.691419
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.689062
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.686854
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.682951
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.680737
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.6771
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.678127
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.67301
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.673074
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.669505
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.667806
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.668898
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.668089
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.66883
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.667587
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.662095
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.660207
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.658947
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.658593
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.658751
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.656848
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.660024
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.66016
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.657544
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.66063
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.659573
Stopping. Best iteration:
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.656848

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05846
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02394
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.996354
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967445
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.944089
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922056
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.90547
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.88792
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.870896
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.852236
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.844283
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.8379
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.826424
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.820545
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.810681
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.802726
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.798938
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.793157
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.786537
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.781946
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.771598
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.769048
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.761976
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.7572
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.758451
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.751916
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.744877
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.743954
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.7399
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.739768
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.738991
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.737369
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.736258
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.733886
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.732719
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.731826
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.728224
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.729199
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.728467
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.731097
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.729128
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.730125
Stopping. Best iteration:
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.728224

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06375
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02956
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00085
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.97775
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.956649
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.935587
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.913474
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.898758
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.879096
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.868878
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.856627
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.845175
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.834391
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.828499
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.820393
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.814187
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.807177
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.79878
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.790505
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.788095
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.78434
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.783352
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775629
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.765039
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.761674
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.755484
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.748029
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.74498
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.736768
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.733925
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.734127
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.731452
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.724789
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.725846
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.719153
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.718522
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.715883
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.711694
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.709851
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.709331
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.703598
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.70269
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.700309
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.703124
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.703303
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.698729
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.697438
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.695739
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.695534
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.698552
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.697743
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.696398
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.695451
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.69695
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.699644
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.694188
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.689145
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.688155
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.688407
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.689218
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.691557
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.693805
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.696332
Stopping. Best iteration:
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.688155

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06586
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03794
[2]	validation_0-merror:0.416667	validation_0-mlogloss:1.00958
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.97925
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957714
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.929205
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.912377
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.894361
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.876652
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.861531
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.84937
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.837884
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.827083
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.817181
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.807158
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.796098
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.786344
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.776099
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.771758
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.76715
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.75838
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.751871
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745727
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.738618
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.729386
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.728666
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.724575
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.721783
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.717789
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.711486
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.709268
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704782
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.701918
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.702778
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.701642
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.70391
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.702613
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.701546
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.701766
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.69999
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.697793
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.696139
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.6934
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.69333
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.695028
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.692525
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.694693
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.692574
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.691598
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.695092
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.693227
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.696141
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.694974
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.696672
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.691598

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02075
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.987031
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.96022
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.932139
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.911389
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.890669
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.872865
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.855305
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.838742
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.823702
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.811277
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.799423
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.790891
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786157
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.777413
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.772624
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.766662
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.765377
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.758864
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754841
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.749257
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.748924
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.746326
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.748307
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.743285
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.739744
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.734125
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.730992
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.730978
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.730617
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.727652
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.727726
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.724338
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.728331
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.731821
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.725672
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.728694
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.728399
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.724338

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06617
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02796
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.994569
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.972002
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.949225
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.92622
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.903872
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.886134
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.87136
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.859379
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.840754
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.829014
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.817506
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.80225
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.79236
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.790747
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.783252
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.776314
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767582
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.761308
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.757934
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.753662
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.749549
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.737421
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.73486
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.735315
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.734956
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.733287
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.729976
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.733191
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.726492
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.721628
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.716917
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.719894
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.716782
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.721577
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.717705
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.715708
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.711653
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.714669
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.712606
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.709092
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.709825
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.705656
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.70266
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.699279
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.703081
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.700518
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.697049
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.699666
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.698951
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.6972
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.692541
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.694387
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.702978
[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.701739
[56]	validation_0-merror:0.333333	validation_0-mlogloss:0.701069
[57]	validation_0-merror:0.333333	validation_0-mlogloss:0.7011
Stopping. Best iteration:
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.692541

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.0561
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02353
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.99316
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.967449
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.940747
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.915751
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.898048
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.887791
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.868167
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.858411
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.847015
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829493
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.810512
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.799866
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.788566
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.778378
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.768248
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.759897
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.749063
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.738707
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.732581
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.728418
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.722747
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.720158
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.715829
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.709726
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.702949
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.699343
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.698362
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.693111
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.689641
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.685712
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.683708
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.681945
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.680509
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.679752
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.678183
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.677291
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.674271
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.674709
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.675173
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.674106
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.676117
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.67773
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.677358
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.678345
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.677979
Stopping. Best iteration:
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.674106

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05911
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03197
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00006
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.982317
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.957563
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.936442
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.920296
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.911998
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.900035
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.886779
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.877099
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.862568
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.848309
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.836842
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.829544
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818957
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.812408
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.81104
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.805085
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.800021
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.794718
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.79083
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.786112
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.782424
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.78153
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.780252
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.780297
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.780934
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.779439
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.779038
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.78236
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.784922
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.783651
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.785776
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.785067
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.779038

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06378
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03316
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.99985
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.980318
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.95735
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.934288
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.92002
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.906274
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.885921
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.868797
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.851911
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.836586
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.818562
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.80593
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.798289
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.786192
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.77314
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.765414
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.759478
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.752118
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748331
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747726
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.742472
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.736527
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.72913
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.723704
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.721137
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.717473
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.712907
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.71074
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.710488
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.712009
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.708727
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.707487
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.703397
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.70082
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.702812
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.7059
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.704318
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.703656
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.702346
Stopping. Best iteration:
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.70082

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05701
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02463
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994724
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.970629
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.942185
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.91669
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.900661
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.888344
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.867216
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.856443
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.841279
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.824984
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.807063
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.793404
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.785088
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.776509
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.76696
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763008
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.751919
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.743677
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.73467
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.732236
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.727542
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.722477
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.719045
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714965
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.708747
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.705381
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.704977
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.700391
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.70019
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.698202
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.69834
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.696702
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.696398
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.695428
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.695307
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.694549
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.69362
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.693136
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.69607
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.695064
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.697312
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.697425
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.699592
Stopping. Best iteration:
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.693136

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05837
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03028
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00092
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.981278
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.950989
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.929955
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.91588
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.909565
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.898202
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.885556
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.874038
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.862678
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.849629
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.838095
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.82932
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.821191
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.814558
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.811766
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.808762
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.804054
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.802865
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.800707
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.798066
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.794312
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.7935
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.791606
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.791997
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.792322
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.792541
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.790896
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.792598
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.792465
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.790982
[33]	validation_0-merror:0.416667	validation_0-mlogloss:0.793205
[34]	validation_0-merror:0.416667	validation_0-mlogloss:0.793008
Stopping. Best iteration:
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.790896

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06214
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02872
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996058
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.975585
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.952857
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.926139
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.910484
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.897444
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.879298
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.864437
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.846318
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.828891
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.81537
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.803804
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.798731
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.789469
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.774519
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.764774
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.759949
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.752084
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.748582
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.747974
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.741558
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.730346
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.723014
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.719053
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.71759
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.714238
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.706362
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.703432
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.705304
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.702798
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.702474
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.701406
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.701804
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.700611
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.703788
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.707299
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.706321
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.702829
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.699325
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.699751
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.700344
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.700602
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.699844
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.698187
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.697312
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.695929
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.695469
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.695268
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.696922
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.696024
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.696803
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.696484
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.700103
Stopping. Best iteration:
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.695268

[0]	validation_0-merror:0.3	validation_0-mlogloss:1.05236
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01856
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.986334
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.958702
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.923089
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.89843
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882546
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.870543
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.854402
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.84053
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.830252
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.8165
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.795266
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.777253
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.76708
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.756388
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.748469
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.743159
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.732728
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.723873
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.71907
[21]	validation_0-merror:0.25	validation_0-mlogloss:0.71542
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.712119
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.706068
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.701958
[25]	validation_0-merror:0.25	validation_0-mlogloss:0.696365
[26]	validation_0-merror:0.25	validation_0-mlogloss:0.692911
[27]	validation_0-merror:0.25	validation_0-mlogloss:0.688769
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.68952
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.685407
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.685854
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.683597
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.681755
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.679575
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.677943
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.67895
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.678932
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.680561
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.680468
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.678382
Stopping. Best iteration:
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.677943

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05717
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03184
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00411
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.985377
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.95934
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.934496
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.922218
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.91566
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.901248
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.887431
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.872985
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.861004
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.844802
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.832554
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.82536
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.821309
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.812271
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.807536
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.807014
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.798439
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.800103
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.798257
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.798019
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.795022
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.793877
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.790697
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.792932
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.794304
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.797505
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.800731
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.806101
Stopping. Best iteration:
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.790697

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05778
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02912
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.995402
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.973928
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.955618
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.934754
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.911823
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.901715
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.87869
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.861434
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.849316
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.830972
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.813038
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.800352
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.793124
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.788404
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.779372
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.771718
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.76952
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.764123
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.760021
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.762669
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.757419
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.747679
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.742351
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.738578
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.737081
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.733813
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.727874
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.722474
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.724006
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.727105
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.723212
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.724784
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.723024
Stopping. Best iteration:
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.722474

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.04762
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01048
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.983204
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.945745
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.926468
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.902526
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.885302
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.863899
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.844777
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.831084
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.819456
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.807757
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.797475
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.789228
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.78062
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.771792
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.760359
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.752415
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.749588
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.748755
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.74164
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.738749
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.731845
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.727347
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.722925
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.721754
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.716781
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.719587
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.71765
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.717321
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.711098
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.705518
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.702086
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.699813
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.698727
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.694218
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.692448
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.690799
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.6925
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.691652
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.692837
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.692696
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.693161
Stopping. Best iteration:
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.690799

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04936
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00616
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.977822
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.948258
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.917054
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.891046
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.875129
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.856669
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.835939
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.819881
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.811972
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.805939
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.794402
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.789811
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.78526
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.780156
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.77949
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.779608
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.776678
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.771637
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.761322
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.761064
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.759384
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.7594
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.760352
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.761464
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.761883
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.756721
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.753371
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751978
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.75389
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.759665
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.75786
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.759463
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.759886
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751978

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05668
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01232
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.984945
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.96007
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938558
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.914111
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.89628
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.88259
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.860827
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.851057
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.842699
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.83373
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.819684
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.809382
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.798957
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.797776
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.794317
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.78732
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.788051
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.784196
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.780379
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.78083
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775492
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.771713
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.765781
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.765947
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.766022
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.763879
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.759699
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.757059
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.759086
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.756787
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.754861
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.756894
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.753134
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.759489
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.75875
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.758664
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.757709
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.759334
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.753134

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06128
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.998155
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.972639
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.964555
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.938156
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.919305
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.904021
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.887284
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.870465
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.859862
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.844928
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.831485
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.820864
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.815095
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.812968
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.80069
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.788928
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.783221
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.777427
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.768146
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.76031
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.752812
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.7493
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.739199
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.740064
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.733548
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.730756
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.725033
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.721862
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.716111
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.711207
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.711786
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70819
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707156
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.705747
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.7074
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.704083
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.707038
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.704937
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.708234
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.704285
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.701627
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.696899
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.698038
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.695907
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.697822
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.695936
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.695131
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.698698
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.698993
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.702585
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.703602
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.703442
Stopping. Best iteration:
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.695131

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06533
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.04297
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.0066
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.982471
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.950579
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.930601
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.912368
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.893735
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.87568
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.859966
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.842686
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833959
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.829296
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.82016
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.813224
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806181
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800177
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.794883
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.787202
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.780661
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.775524
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.76834
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.766956
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.765279
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.76444
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.761343
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.759745
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.757836
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.754714
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.752507
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.752502
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.749353
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.747138
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.746323
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.748018
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.750223
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.745648
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.749624
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.749421
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.748463
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.745499
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.742384
[42]	validation_0-merror:0.366667	validation_0-mlogloss:0.743051
[43]	validation_0-merror:0.366667	validation_0-mlogloss:0.742577
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.740672
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.743042
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.743674
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.743435
[48]	validation_0-merror:0.366667	validation_0-mlogloss:0.748033
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.747086
Stopping. Best iteration:
[44]	validation_0-merror:0.366667	validation_0-mlogloss:0.740672

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06972
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.04078
[2]	validation_0-merror:0.266667	validation_0-mlogloss:1.00238
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.981194
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95575
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.932988
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.911602
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.8983
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.883418
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.870832
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.849772
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.837061
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.82408
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808817
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797392
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.795548
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.78884
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.782301
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.768802
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.765972
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.759306
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.750695
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.747612
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.737814
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.736958
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.732947
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.72815
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.722253
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.721421
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.715637
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.710268
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706613
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.706971
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.708223
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.706233
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.705341
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.697662
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.698163
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.696036
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.69226
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.686393
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.683997
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.685793
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.681404
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.67977
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676546
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.678228
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.678334
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.681006
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.682115
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.678277
Stopping. Best iteration:
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.676546

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.0628
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02203
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989209
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957636
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934998
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.908563
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.892287
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.872448
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.857025
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.843319
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834914
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.821791
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810207
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.805498
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.797963
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.788452
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.778181
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.767194
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.766225
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.763451
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.754527
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750947
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.746172
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.732582
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.726355
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.727171
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.725087
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.72725
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.727656
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.721447
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.717766
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.713498
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.711739
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.710706
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.712155
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.713113
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.714209
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.711398
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.713064
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.710706

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02349
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.987014
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962683
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932443
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.909573
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.885653
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.86788
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.849408
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83071
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.815838
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807412
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80135
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.794805
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.7899
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.783104
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.779107
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.774991
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.776915
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77473
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.769765
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.768146
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.768995
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.770094
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.770145
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.769237
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.768395
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.768146

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06196
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02022
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.985642
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.965685
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.940533
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.917116
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.897309
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.883395
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.863444
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.851172
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.834207
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.824249
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.813209
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.79973
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.78833
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.787975
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.779167
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.768128
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.765151
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.75797
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.749982
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.749111
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.746302
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.738668
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.734788
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.736277
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.737244
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.735341
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.7315
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.728566
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.725408
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.721664
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.717653
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.720945
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.721224
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.72764
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.726722
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.723588
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.717653

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.04961
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01389
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.986546
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.951189
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929467
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.909882
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.89229
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.870469
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.853105
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.83865
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.824571
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.811417
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.800964
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.790993
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.780333
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.769596
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.758966
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.751512
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.749223
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.749816
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.74331
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.737523
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.732344
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.726806
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.724145
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.719236
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.713146
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.713839
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.711058
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.710435
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703323
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.699404
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.697184
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.696864
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.694356
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.691194
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.687698
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.688527
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.686348
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.683263
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.684035
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.683393
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.682985
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.683696
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.682278
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.68261
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.680995
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.679263
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.677393
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.677847
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.678496
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.679164
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.676392
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.67882
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.677257
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.678933
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.680806
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.680223
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.676392

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05026
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00751
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977737
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.947702
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.92005
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.897225
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.880639
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864705
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.84456
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.828433
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.8207
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.815212
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.803581
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.797483
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.791747
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.784431
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.780644
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.775932
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.774207
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.766194
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.759106
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.759299
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754899
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.755158
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.759114
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.758357
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.75468
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.756106
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.75579
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.754154
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.757012
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.761599
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.759433
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.76017
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.758921
Stopping. Best iteration:
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.754154

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05745
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01243
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.983548
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.963446
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939769
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.914023
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.893813
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.878917
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.855102
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.843958
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.833875
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.819054
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.807547
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.799136
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.791313
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.783394
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.781015
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.768811
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.767977
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.762403
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.758517
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.75903
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.753275
[23]	validation_0-merror:0.25	validation_0-mlogloss:0.749676
[24]	validation_0-merror:0.25	validation_0-mlogloss:0.743503
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.74286
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.736142
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.735537
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.729633
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.7268
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.727627
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.723534
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.720721
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.723154
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.721572
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.728121
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.727465
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.72736
Stopping. Best iteration:
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.720721

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05008
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.00981
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.974435
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.941056
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.912612
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.885965
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.865016
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.842646
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.828871
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.821466
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.811407
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.79469
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.78219
[13]	validation_0-merror:0.25	validation_0-mlogloss:0.769446
[14]	validation_0-merror:0.25	validation_0-mlogloss:0.764769
[15]	validation_0-merror:0.25	validation_0-mlogloss:0.753017
[16]	validation_0-merror:0.25	validation_0-mlogloss:0.74321
[17]	validation_0-merror:0.25	validation_0-mlogloss:0.73833
[18]	validation_0-merror:0.25	validation_0-mlogloss:0.734019
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.729469
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.727651
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.723783
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.725118
[23]	validation_0-merror:0.233333	validation_0-mlogloss:0.720862
[24]	validation_0-merror:0.233333	validation_0-mlogloss:0.717621
[25]	validation_0-merror:0.233333	validation_0-mlogloss:0.71699
[26]	validation_0-merror:0.233333	validation_0-mlogloss:0.715529
[27]	validation_0-merror:0.233333	validation_0-mlogloss:0.71522
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.714087
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.713076
[30]	validation_0-merror:0.25	validation_0-mlogloss:0.714136
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.715028
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.716224
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.7186
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.717627
Stopping. Best iteration:
[29]	validation_0-merror:0.25	validation_0-mlogloss:0.713076

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05846
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02353
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.987472
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.961686
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.933122
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.905452
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.886723
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.867955
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.852393
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.846147
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.837596
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.830008
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.824056
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.816817
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.810918
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.810473
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.804938
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.799554
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.802244
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.799213
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.801444
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.803301
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.804832
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.807183
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.806064
Stopping. Best iteration:
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.799213

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06122
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0202
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.98175
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.954783
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.929584
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.90161
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.877969
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.864709
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.851801
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.841318
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830197
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.826394
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.81929
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.817288
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.811793
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.806372
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.802211
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800884
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.802532
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.805627
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.809187
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.808957
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.811252
Stopping. Best iteration:
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800884

[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06392
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.466667	validation_0-mlogloss:1.0368
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00304
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.972111
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.949938
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.924434
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.906143
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.889165
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.873345
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.852553
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.843651
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.831168
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.819066
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.8102
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.798581
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.790954
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.782551
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773498
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.76975
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.766239
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.757696
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.751494
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.747163
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.74384
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.736611
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.739231
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.73579
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.735335
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.734757
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.730395
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.728968
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.726274
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.726144
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.723103
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.724763
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.728794
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.731098
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.728193
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.728085
Stopping. Best iteration:
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.723103

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0614
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02511
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.986763
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.963344
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.927918
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.906739
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885326
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.867289
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848706
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.830465
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814779
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.801895
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.795329
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.786732
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.780333
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.773374
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.769606
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.764044
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.764457
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.760318
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.755764
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.750589
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.752035
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.75457
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.757341
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.755341
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.754464
Stopping. Best iteration:
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.750589

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06371
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02467
[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.988956
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.966786
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.939957
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.919973
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.901757
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.885443
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867589
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.855059
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.838856
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.827853
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.81337
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798143
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.78847
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788606
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.780765
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771532
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.76804
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.762123
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.756125
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.750392
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.748654
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.740041
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.738103
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.738756
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.74038
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.739806
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.73911
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.732854
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.731863
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.728742
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.726409
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.730418
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.73186
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.739267
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.738026
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.734916
Stopping. Best iteration:
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.726409

[0]	validation_0-merror:0.533333	validation_0-mlogloss:1.05945
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02883
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.998949
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.973125
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.963525
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.940033
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.922705
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.905789
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.889759
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.873089
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.862343
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.850246
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.83824
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.829613
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.821952
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.819905
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.807868
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.795566
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.790391
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.784029
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.775045
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.76735
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.760274
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.752959
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.744322
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.742972
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.733644
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.724887
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.718968
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.714173
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.709735
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.703275
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.702771
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.697173
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.69631
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.693775
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.694034
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.692035
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.693588
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.690252
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.692112
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.69229
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.690108
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.687241
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.68821
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.687703
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.688714
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.68682
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.683681
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.687164
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.683855
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.687305
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.688789
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.689722
Stopping. Best iteration:
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.683681

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.06013
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03415
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997853
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976479
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.943022
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922599
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.906097
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.891193
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.871964
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.854741
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.837654
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.828813
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.824874
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.815406
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810119
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.799043
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.791745
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.787402
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.783232
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.778704
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772901
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.768631
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767783
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.767931
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.770282
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.77018
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.76747
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.762155
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.761708
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.759302
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.760494
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.760248
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.754231
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.750816
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.754409
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.757458
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.752641
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.75677
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.756404
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.750816

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06748
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03756
[2]	validation_0-merror:0.25	validation_0-mlogloss:1.00065
[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.978416
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952568
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.926853
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.90648
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.893924
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.880367
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.868668
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.849841
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.840843
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.827911
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813461
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.80064
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.798187
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.789988
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.785103
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.777815
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.769755
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.765195
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.7582
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754124
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.746359
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.743505
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.738993
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.733723
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.729271
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.728857
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.724384
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.719726
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.716107
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.71439
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.714825
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.712195
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.712394
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.708961
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.708744
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.705884
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.703951
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.697862
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.694695
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.696317
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.692888
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.692943
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.692675
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.691403
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.691295
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.694339
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.696065
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.693417
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.692822
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.688769
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.688003
[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.69078
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.689291
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.689674
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.687429
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.686557
[59]	validation_0-merror:0.316667	validation_0-mlogloss:0.689748
[60]	validation_0-merror:0.316667	validation_0-mlogloss:0.692307
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.693321
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.697552
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.696725
Stopping. Best iteration:
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.686557

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04531
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00281
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.967786
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.93681
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.909423
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.889064
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.871749
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.855545
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.842681
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.83141
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.820582
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.812013
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.80576
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.799193
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792705
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.786439
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.779161
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.774179
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.771313
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.768901
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.765939
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.764853
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765598
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.762907
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.760568
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.75747
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.754239
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.753335
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.747055
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.749348
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.747679
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.749247
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.747686
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.747942
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.747055

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04776
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0027
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.966074
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.93451
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.907561
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.886662
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.868541
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.852652
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.838321
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.826148
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.815928
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.804015
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.794058
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.787391
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.78493
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.781739
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.778421
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.77813
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.775704
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.770019
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.764493
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.762312
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.764196
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.760079
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.760138
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.760001
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.758365
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.757537
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.759163
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.761203
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.763669
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.765557
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.767179
Stopping. Best iteration:
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.757537

[0]	validation_0-merror:0.266667	validation_0-mlogloss:1.04528
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00722
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.97473
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.945701
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.923777
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.902131
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885628
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.867391
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.857615
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.842993
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.83786
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.828281
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.819933
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.813927
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.814832
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.810409
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.805369
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.805854
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.806242
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.802222
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.800519
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.801526
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.801581
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.796148
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.795222
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.793461
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.790995
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.785346
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.785171
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.778991
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.778078
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.775994
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.775273
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.773567
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.774881
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.775324
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.773657
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.772116
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.770179
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.77349
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.774341
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.770539
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.768469
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.766719
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.766876
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.765817
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.766655
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.771576
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.774242
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.774833
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.780197
Stopping. Best iteration:
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.765817

[0]	validation_0-merror:0.55	validation_0-mlogloss:1.06288
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02231
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989029
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.958247
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.935376
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.90912
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891546
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.871647
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.856107
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.843631
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.836542
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.824839
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.814061
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.809342
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.801877
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.791358
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.782596
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771446
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.769639
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.764763
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.754241
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.750554
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745034
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.731724
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.72544
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.723935
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.719817
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.719356
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.718975
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.713191
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.710151
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.705855
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.704523
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.702477
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.702324
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.704485
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.704768
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.7033
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.704352
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.701282
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.704421
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.705098
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.701125
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.698036
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.698855
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.698613
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.701355
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.697603
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.698672
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.702053
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.698392
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.70222
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.702209
Stopping. Best iteration:
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.697603

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02349
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98671
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962132
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.933177
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.910405
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.887436
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.866997
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.850341
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829575
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.814225
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804262
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.799116
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.79092
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.785714
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.780778
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.777126
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.773169
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.774472
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.77312
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767712
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.765927
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.765936
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.766758
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.767542
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.766397
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.766089
Stopping. Best iteration:
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.765927

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.0608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.0188
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.985376
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.966249
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.939198
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917146
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.898598
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885612
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.865267
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.851511
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.833511
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.82215
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.807648
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.794235
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.782082
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78494
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775512
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.7652
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.761875
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.755619
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748202
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.745398
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.743196
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.735728
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.733676
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.735824
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.73555
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.73167
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.730675
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.727009
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.723494
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.718422
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.713718
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.718093
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.716478
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.722932
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.723514
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.719093
Stopping. Best iteration:
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.713718

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05908
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02096
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.986859
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.955203
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.931009
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.908705
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.890681
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.871725
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.853436
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.842508
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.831155
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812095
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.797146
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.784163
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.77496
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.767438
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.760509
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.755089
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.749714
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.742161
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.736984
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.733281
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.730273
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.728035
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.723676
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.720762
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.717169
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.715796
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.713917
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.712523
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.712171
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.711183
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.710734
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.712836
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.714694
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.71454
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.714301
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.712059
Stopping. Best iteration:
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.710734

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05135
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01518
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.978093
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.95441
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.930243
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.906937
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.890654
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.875996
[8]	validation_0-merror:0.416667	validation_0-mlogloss:0.862111
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.854059
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.838855
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.825185
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.815893
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.805306
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.801993
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.798034
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.796223
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.791887
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.79213
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.791675
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.791213
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.78976
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.790282
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.790654
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.788489
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.788746
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.790563
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.793144
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.796359
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.799026
Stopping. Best iteration:
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.788489

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06045
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02357
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985948
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.960731
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.930624
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.911368
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.891475
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.874981
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.857852
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.851864
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.839029
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.829811
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.824101
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.817288
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.801572
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.800906
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.793912
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.786881
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.783313
[19]	validation_0-merror:0.266667	validation_0-mlogloss:0.780205
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.776808
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.774235
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.768299
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.759206
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.756329
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.754116
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.752993
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.750414
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.746645
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.744043
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.745187
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.744405
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.742581
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.740924
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.740084
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.737576
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.737002
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.737025
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.738243
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.736823
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.734533
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.733186
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.734945
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.737089
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.738333
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.741204
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.741254
Stopping. Best iteration:
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.733186

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05772
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02265
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.988644
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.958451
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.932864
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.910193
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.891784
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873235
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.85509
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.841423
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.830749
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.812068
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.79856
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.786446
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.778208
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.77027
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.763942
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.756846
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.749873
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.741724
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.735123
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.729553
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.721879
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.717382
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.714574
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.708179
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.708207
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.706343
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.705059
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.703362
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703719
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.701808
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.699397
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.697134
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.697551
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.69675
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.695642
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.694727
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.69548
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.694479
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.694035
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.694508
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.692728
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.693772
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.694742
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.697574
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.697105
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.695825
Stopping. Best iteration:
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.692728

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05342
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01709
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978872
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.952174
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.924761
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.901327
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.883023
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.864532
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.851712
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.843827
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.828166
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.813897
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.806626
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.801206
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.79334
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.784856
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.782142
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.779372
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.777596
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773236
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772311
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.769368
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.768456
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.76565
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.762452
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.761175
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.761757
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.763212
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.758511
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.758153
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.762942
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.76295
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.765658
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.763379
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.763087
Stopping. Best iteration:
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.758153

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06238
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02503
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989557
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.957132
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.927685
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.906466
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.883887
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.86847
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.849172
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.839993
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.831722
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.82313
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.813726
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.809643
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.796744
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.790102
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.781333
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.774066
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.772585
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.764144
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.762623
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.757666
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.753401
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.748694
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.743232
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.738933
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.737482
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.738897
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.735241
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.732243
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.733424
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.731859
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.728662
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.724049
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.727061
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.72828
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.726577
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.723716
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.721772
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.718362
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.716786
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.715313
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.716186
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.716825
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.715047
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.71789
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.718672
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.718683
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.719382
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.719689
Stopping. Best iteration:
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.715047

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04217
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00369
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.972379
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.935109
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.915939
[5]	validation_0-merror:0.266667	validation_0-mlogloss:0.886424
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.864038
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.842308
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.826306
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.812896
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.802311
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.790715
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.777184
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.76463
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.75682
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.746649
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.73873
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.73287
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.733712
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.732755
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.727532
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.725081
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.72026
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.713953
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.7071
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.707204
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.703448
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.707233
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.705888
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.706846
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.702253
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.697973
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.694204
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.693055
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.692703
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.691892
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.691672
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.693357
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.693671
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.697887
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.706978
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.705452
Stopping. Best iteration:
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.691672

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05448
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00689
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.975242
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.940733
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.907829
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.877887
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.858186
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.842016
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.8207
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.809746
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.80332
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.795158
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.785845
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.781025
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.773575
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.76873
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.767505
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.770731
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.768092
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.762629
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.759427
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.75848
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.756627
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.757146
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.763138
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.758772
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.757661
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.761398
Stopping. Best iteration:
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.756627

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05001
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01109
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.985827
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.963718
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.935148
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.924093
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.912372
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.902663
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.884286
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.873965
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.867114
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.85588
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.841636
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.832085
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.822007
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.821629
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.822699
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.817534
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.812899
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.807921
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.812048
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.814446
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.811384
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.811646
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.80746
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.810822
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.808837
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.811622
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.809183
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.803837
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.803692
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.808665
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.805288
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.808188
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.804429
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.813298
Stopping. Best iteration:
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.803692

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05848
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.03262
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00557
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.973702
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.954976
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.932828
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.915603
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.898426
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.880728
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.863051
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.851137
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.839646
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.827773
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.818229
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.807867
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.798084
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.788949
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.777707
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.77193
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.766901
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.761585
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.755059
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.750149
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.743837
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.734506
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.733858
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.730075
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.728005
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.72105
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.716067
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.713029
[31]	validation_0-merror:0.25	validation_0-mlogloss:0.707768
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.705709
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.706251
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.707185
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.707629
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.705992
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.703849
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.704234
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.700328
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.698044
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.697567
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.696223
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.695155
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.697144
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.694512
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.696217
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.692291
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.690472
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.692642
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.689263
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.692339
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.690082
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.690912
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.692384
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.689704
Stopping. Best iteration:
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.689263

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0575
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02163
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.989128
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.962048
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.934287
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.914695
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.893383
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.872555
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.854937
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.83781
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.822787
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.810389
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.799228
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.790494
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.787714
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.779943
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.774834
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.76851
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.76709
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.760419
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.757726
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.752302
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.75137
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.750972
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.75069
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.746424
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.742987
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.737615
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.733446
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.733393
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.734211
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.731001
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.730375
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.729453
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.732136
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.733198
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.731938
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.736479
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.734284
Stopping. Best iteration:
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.729453

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06634
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02809
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.995342
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.973414
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.950268
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.926975
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.90508
[7]	validation_0-merror:0.266667	validation_0-mlogloss:0.887137
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.870811
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.858421
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.839715
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.828476
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.817025
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.801707
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791059
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789659
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.781863
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.773261
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.764961
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759456
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.75586
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749605
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.74941
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.744752
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74484
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.745519
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.743617
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.738458
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.736265
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.738881
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.735155
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.732609
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.727665
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.729044
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.726164
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.731138
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.731192
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.729259
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.727762
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.731256
Stopping. Best iteration:
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.726164

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05659
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02433
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.993379
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970753
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.941311
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917251
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.901316
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.890706
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.876299
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.862143
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.848812
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.835871
[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.822599
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.809083
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.799409
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.786916
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.779198
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.769054
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759673
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.750192
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.743467
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.738052
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731234
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.727527
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.724402
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.719693
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.717673
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.715106
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.713818
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.708034
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.703866
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.69935
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.699216
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.697383
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.696395
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.69373
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.687208
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.681994
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.683
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.680673
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.67992
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.678259
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.675528
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.673625
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.670957
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.671466
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.670288
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.669339
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.67094
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.668733
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.666964
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.667211
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.668096
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.667576
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.668444
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.667895
Stopping. Best iteration:
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.666964

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06173
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0324
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.0066
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.987192
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.961958
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.936442
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.92171
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.911402
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.897534
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.883863
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.870499
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.855375
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.841011
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.828179
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.820683
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.816872
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.808566
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.802375
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.796988
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.788644
[20]	validation_0-merror:0.416667	validation_0-mlogloss:0.785776
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.783286
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.780444
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.775986
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.772234
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.769093
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.764629
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.762103
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.758172
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.756962
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.759091
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.757811
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.751902
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.750518
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.744728
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.740605
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.74171
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.742861
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.737756
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.73835
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.737469
[41]	validation_0-merror:0.366667	validation_0-mlogloss:0.733927
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.73232
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.730004
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.729487
[45]	validation_0-merror:0.383333	validation_0-mlogloss:0.726948
[46]	validation_0-merror:0.383333	validation_0-mlogloss:0.730002
[47]	validation_0-merror:0.383333	validation_0-mlogloss:0.728317
[48]	validation_0-merror:0.383333	validation_0-mlogloss:0.727365
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.726615
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.725043
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.723681
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.723844
[53]	validation_0-merror:0.383333	validation_0-mlogloss:0.726321
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.725693
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.724383
[56]	validation_0-merror:0.383333	validation_0-mlogloss:0.723928
Stopping. Best iteration:
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.723681

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.07327
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.04155
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.01652
[3]	validation_0-merror:0.4	validation_0-mlogloss:1.00152
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.985254
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.961206
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.946625
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.935171
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.917596
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.902731
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.883005
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.868999
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.851613
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.841103
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.82895
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.823836
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.812416
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.803686
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.792047
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.781777
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.774064
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.768645
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.761161
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.755038
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.748215
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.74289
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.736727
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.731651
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.725794
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.721303
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.721816
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.716562
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.709711
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.705351
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.702313
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.698983
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.69572
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.69191
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.68824
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.685729
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.682432
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.678787
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.676506
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.673309
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.671747
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.667846
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.667201
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.665654
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.661108
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.658124
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.656226
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.654479
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.65334
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.652631
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.652632
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.653778
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.650761
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.64921
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.648383
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.648506
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.647468
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.646241
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.644535
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.644155
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.643584
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.64254
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.641942
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.6405
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.6387
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.639715
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.641949
[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.641218
[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.642403
[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.642405
Stopping. Best iteration:
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.6387

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05692
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01215
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.98075
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.957115
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.929859
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.905851
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.888176
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.873387
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.854842
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.838351
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.825383
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818343
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.809114
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.800187
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.795418
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.782865
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773262
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767061
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757972
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.751676
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.741776
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.735348
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.727575
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.717955
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.707466
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.70039
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.700221
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.695197
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.695328
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.691631
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.686516
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.687404
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.684374
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.68587
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.682112
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.679026
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.67908
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.679552
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.675773
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.67262
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.66501
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.65959
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.658362
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.655994
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.65095
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.646667
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.646753
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.648397
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.64301
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.64445
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.645307
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.641073
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.637005
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.638897
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.640943
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.642153
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.641613
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.634211
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.636617
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.63685
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.638696
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.638642
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.640709
Stopping. Best iteration:
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.634211

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06367
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02924
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.998867
[3]	validation_0-merror:0.45	validation_0-mlogloss:0.968215
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.945518
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.926565
[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.907121
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.892129
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.880298
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.870283
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.85955
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.846409
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.84049
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.830858
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.816996
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.810104
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.80411
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.796136
[18]	validation_0-merror:0.416667	validation_0-mlogloss:0.788656
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.779019
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.773966
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.765533
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.764531
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.760549
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.757581
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.763561
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.756244
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.75268
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.747726
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.740309
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.739871
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.735326
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.729966
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.729738
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.723239
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.725294
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.725574
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.72536
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.73374
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.7345
Stopping. Best iteration:
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.723239

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.05829
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02765
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996339
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.965721
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.939109
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918662
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896109
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.880849
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.864545
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847237
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834608
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.823249
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.807978
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801521
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.785574
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.769306
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.760649
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.748162
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.749612
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.739024
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.737706
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.732443
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.729632
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724643
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723027
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.723843
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.714988
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.709535
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.701926
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69333
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.689063
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.68821
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.684497
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.68101
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.679154
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.678711
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.677499
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.674864
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.673366
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.668203
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.664716
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.658669
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.660252
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.656126
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.655045
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.64991
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.649695
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.649099
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.647663
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.649783
[50]	validation_0-merror:0.25	validation_0-mlogloss:0.650388
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.651524
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.648462
[53]	validation_0-merror:0.25	validation_0-mlogloss:0.645396
[54]	validation_0-merror:0.25	validation_0-mlogloss:0.647182
[55]	validation_0-merror:0.25	validation_0-mlogloss:0.647193
[56]	validation_0-merror:0.25	validation_0-mlogloss:0.64432
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.647342
[58]	validation_0-merror:0.25	validation_0-mlogloss:0.650317
[59]	validation_0-merror:0.25	validation_0-mlogloss:0.648315
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.649554
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.652066
Stopping. Best iteration:
[56]	validation_0-merror:0.25	validation_0-mlogloss:0.64432

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05578
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01882
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.985716
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.959843
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.937741
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.917387
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.897914
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.882293
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.86719
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.853065
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842513
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.828249
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.813641
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.804478
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.792855
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.78119
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.775523
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.767473
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.759157
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.748415
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.743116
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.739769
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.731402
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.725833
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.723062
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.716011
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.712119
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.712034
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.7068
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.707102
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.707303
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704799
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.704728
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.698576
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.693128
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.693797
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.691053
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.691348
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.689103
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.690211
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.690911
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.693063
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.69182
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.691123
Stopping. Best iteration:
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.689103

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05476
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01796
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.987693
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962718
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.937965
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.921826
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.904217
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.891091
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.874965
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.861528
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.848994
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.839101
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.829631
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.819943
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.80767
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.798418
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.794578
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.787632
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.780513
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.773665
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.767557
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.762991
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.759655
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.755734
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.753249
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.747941
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.744446
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.738096
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.730976
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.729905
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.728785
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.726812
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.726675
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.722664
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.720961
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.720269
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.721902
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.719204
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.718824
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.720519
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.719731
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.718147
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.717472
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.718671
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.722368
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.720306
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.720575
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.719522
Stopping. Best iteration:
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.717472

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02412
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.995513
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.97594
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.947806
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.928278
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.919282
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897538
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.889656
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.877901
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.866785
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.859452
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.849925
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.837891
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.830366
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.818243
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.811189
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.800721
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.79639
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.790447
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.788132
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.783831
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.78267
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.777406
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.770662
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.766996
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.764135
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.758256
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.757225
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.75631
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.754438
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.751267
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.750464
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.7483
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.742434
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.73947
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.733606
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.733267
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.732009
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.727557
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.725039
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.723374
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.720179
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.718564
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.715649
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.713651
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.711513
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.711511
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.710254
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.708492
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.708729
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.707969
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.705895
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.703781
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.704397
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.702537
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.702671
[57]	validation_0-merror:0.3	validation_0-mlogloss:0.701918
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.699435
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.698329
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.697871
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.697758
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.701306
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.702591
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.704588
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.702311
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.70213
Stopping. Best iteration:
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.697758

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05432
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02087
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.996762
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.961435
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940231
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918891
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.899607
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.879108
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.862226
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.846767
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834201
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.820309
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.808977
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801437
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788053
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.774662
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765651
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.756835
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.752274
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.749395
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.743496
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737617
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.729695
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72454
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.719891
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.711041
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.703669
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.702768
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.703149
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.700639
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.694135
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.689013
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.681853
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.679438
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.676461
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.673333
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.67222
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.673766
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.674689
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.671915
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.669046
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.665922
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.665697
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.666672
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.662696
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.661308
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.659428
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.657521
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.6542
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.654103
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.653303
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.655764
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.653048
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.656027
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.655872
[55]	validation_0-merror:0.25	validation_0-mlogloss:0.654755
[56]	validation_0-merror:0.25	validation_0-mlogloss:0.656577
[57]	validation_0-merror:0.25	validation_0-mlogloss:0.654814
Stopping. Best iteration:
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.653048

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05697
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02122
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994395
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.963677
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939323
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916178
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.899888
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.883509
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.868711
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856286
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.846999
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.840148
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.82791
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.820093
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.812156
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.802739
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.797042
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792494
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.785051
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.776313
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.768007
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.762531
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.758732
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.756265
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.756204
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.75054
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.742145
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.739382
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.737939
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.73418
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.731293
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.731518
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.726659
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.721481
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.721068
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.720876
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.717956
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.718368
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.717688
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.721499
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.720447
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.722128
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.720038
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.719283
Stopping. Best iteration:
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.717688

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06162
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02419
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.995502
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.968754
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.94702
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.924702
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.902362
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.885106
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867463
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856766
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.846775
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.834811
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.823605
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815476
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.805527
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.800097
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.796132
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.790008
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.781135
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.778585
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.770054
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.760815
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.753178
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.743442
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.736994
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.731915
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.72478
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.721302
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.71489
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.709677
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.705722
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.704068
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.697467
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.697047
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.692631
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.690119
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.684696
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.681794
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.680856
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.6792
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.676422
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.676685
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.675594
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.674113
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.672644
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.672854
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.670113
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.67035
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.668159
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.670937
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.669442
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.669312
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.668397
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.6699
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.668159

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05287
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01811
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.991785
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.962936
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.954847
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.928676
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.905885
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.889106
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.870694
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.852717
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.838507
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.823934
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.810909
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.802584
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.792219
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.78538
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77652
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.765916
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759496
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.753186
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.746436
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.74058
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.729354
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.725439
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.7169
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.710476
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.702515
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.700371
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.69748
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.693618
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.687651
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.682253
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.675067
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.672149
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.669353
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.666469
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.662048
[37]	validation_0-merror:0.25	validation_0-mlogloss:0.663637
[38]	validation_0-merror:0.25	validation_0-mlogloss:0.666085
[39]	validation_0-merror:0.25	validation_0-mlogloss:0.663435
[40]	validation_0-merror:0.25	validation_0-mlogloss:0.66383
[41]	validation_0-merror:0.25	validation_0-mlogloss:0.662874
Stopping. Best iteration:
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.662048

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06455
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03634
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00671
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.979224
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.953014
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.930114
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.913455
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.899318
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.879224
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.864025
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.853435
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.845136
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.835842
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.827071
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.817913
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.808807
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.805873
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.801901
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.793
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.790214
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.783099
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.779395
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.774734
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.768636
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.767117
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.762345
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.755183
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.755541
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.754028
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751641
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751505
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.751848
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.748244
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.743302
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.744977
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.742094
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.741695
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.7418
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.740501
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.740692
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.738927
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.741554
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.741107
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.73906
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.73788
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.736799
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.735763
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.737839
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.733519
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.737425
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.737782
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.739312
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.738371
[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.738671
Stopping. Best iteration:
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.733519

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06861
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.04111
[2]	validation_0-merror:0.35	validation_0-mlogloss:1.00945
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.984948
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.961854
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.942788
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.925134
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.910981
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.889733
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.873623
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.861209
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.848962
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.835572
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.825223
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.813685
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.805428
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.800346
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.79224
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.782764
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.77576
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.775346
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.773609
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765283
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.758966
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.750466
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.744365
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.738347
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.733539
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.726323
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.720347
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.716564
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.713824
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.707431
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.708079
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.702882
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.700473
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.696027
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.6908
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.687325
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.684964
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.681435
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.682107
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.680414
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.678743
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.679253
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.678066
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.674019
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.673907
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.673431
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.675625
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.675468
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.675354
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.673823
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.674942
Stopping. Best iteration:
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.673431

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05485
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02649
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.999197
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.970188
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.961305
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.938168
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.922181
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.905799
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.884399
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.866464
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.852381
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.838466
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.825815
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.813815
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.803749
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.800039
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.788061
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.775816
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.772064
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.766641
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.76046
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.753004
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.748386
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.743822
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.735762
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.734226
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.723822
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.71767
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.711147
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.708268
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.703156
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.698687
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.69646
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.693949
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.691533
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.687825
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.684897
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.685259
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.688095
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.684533
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.687122
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.686178
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.682432
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.682159
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.67961
[45]	validation_0-merror:0.3	validation_0-mlogloss:0.677911
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.678614
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.675081
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.67177
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.673435
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.67015
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.671917
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.670339
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.671873
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.671797
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.671446
Stopping. Best iteration:
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.67015

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06397
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.04031
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.007
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.984669
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.956879
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.936502
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.916002
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.898781
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.878871
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.861852
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.845744
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833852
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82705
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.816185
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.811505
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.802492
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.797296
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.790883
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.786666
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.77849
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.774474
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.76801
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.766876
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.762896
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.760781
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.758521
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.756263
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.752034
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.749122
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.746774
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.746225
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.74268
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.742688
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.741792
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.744997
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.743227
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.74133
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.743523
[38]	validation_0-merror:0.383333	validation_0-mlogloss:0.744125
[39]	validation_0-merror:0.383333	validation_0-mlogloss:0.744218
[40]	validation_0-merror:0.383333	validation_0-mlogloss:0.742649
[41]	validation_0-merror:0.383333	validation_0-mlogloss:0.740086
[42]	validation_0-merror:0.383333	validation_0-mlogloss:0.740808
[43]	validation_0-merror:0.383333	validation_0-mlogloss:0.73911
[44]	validation_0-merror:0.383333	validation_0-mlogloss:0.739447
[45]	validation_0-merror:0.366667	validation_0-mlogloss:0.73722
[46]	validation_0-merror:0.366667	validation_0-mlogloss:0.737513
[47]	validation_0-merror:0.366667	validation_0-mlogloss:0.737023
[48]	validation_0-merror:0.383333	validation_0-mlogloss:0.735821
[49]	validation_0-merror:0.383333	validation_0-mlogloss:0.73623
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.734774
[51]	validation_0-merror:0.383333	validation_0-mlogloss:0.739755
[52]	validation_0-merror:0.383333	validation_0-mlogloss:0.741665
[53]	validation_0-merror:0.383333	validation_0-mlogloss:0.743291
[54]	validation_0-merror:0.383333	validation_0-mlogloss:0.751027
[55]	validation_0-merror:0.383333	validation_0-mlogloss:0.748568
Stopping. Best iteration:
[50]	validation_0-merror:0.383333	validation_0-mlogloss:0.734774

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.07103
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0439
[2]	validation_0-merror:0.333333	validation_0-mlogloss:1.00815
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.990923
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.966127
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.942377
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.924986
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.907973
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.889932
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.874469
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.853472
[11]	validation_0-merror:0.266667	validation_0-mlogloss:0.839534
[12]	validation_0-merror:0.25	validation_0-mlogloss:0.824519
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.808929
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.798011
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.793363
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.785907
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.780969
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.774285
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.769281
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.765587
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.756996
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.755094
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.749298
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.75043
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.746637
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.740861
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.734145
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.728733
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.72434
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.725795
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.720788
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.717315
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.716712
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.713091
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.711602
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.706878
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.703868
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.701952
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.699253
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.693971
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.690322
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.692439
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.689068
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.684513
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.681326
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.682026
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.682853
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.680943
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.682539
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.678573
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.676777
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.672213
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.670771
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.675373
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.673803
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.675523
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.676902
[58]	validation_0-merror:0.316667	validation_0-mlogloss:0.675298
Stopping. Best iteration:
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.670771

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06376
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03201
[2]	validation_0-merror:0.4	validation_0-mlogloss:1.00118
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971155
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.948816
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.926938
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.906387
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.889292
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.87342
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.86195
[10]	validation_0-merror:0.35	validation_0-mlogloss:0.84991
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.837434
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.825099
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.813077
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.803632
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.792411
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.784725
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.779658
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.771629
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.762989
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754807
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.749201
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.748092
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.74618
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.743335
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.735731
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.732361
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.728772
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.725916
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.72047
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.718481
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.71569
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.715735
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.711574
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.710679
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.709742
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.709292
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.705066
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.70474
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.704544
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.704479
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.70592
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.702454
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.703317
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.702638
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.702148
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.699501
[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.700511
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.697857
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.695726
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.691852
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.694629
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.693595
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.692935
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.691269
[55]	validation_0-merror:0.316667	validation_0-mlogloss:0.690795
[56]	validation_0-merror:0.316667	validation_0-mlogloss:0.690704
[57]	validation_0-merror:0.316667	validation_0-mlogloss:0.688578
[58]	validation_0-merror:0.3	validation_0-mlogloss:0.688653
[59]	validation_0-merror:0.3	validation_0-mlogloss:0.69064
[60]	validation_0-merror:0.3	validation_0-mlogloss:0.688521
[61]	validation_0-merror:0.3	validation_0-mlogloss:0.687738
[62]	validation_0-merror:0.3	validation_0-mlogloss:0.684653
[63]	validation_0-merror:0.3	validation_0-mlogloss:0.684809
[64]	validation_0-merror:0.3	validation_0-mlogloss:0.682651
[65]	validation_0-merror:0.3	validation_0-mlogloss:0.683748
[66]	validation_0-merror:0.3	validation_0-mlogloss:0.68211
[67]	validation_0-merror:0.3	validation_0-mlogloss:0.683165
[68]	validation_0-merror:0.3	validation_0-mlogloss:0.68232
[69]	validation_0-merror:0.3	validation_0-mlogloss:0.680709
[70]	validation_0-merror:0.3	validation_0-mlogloss:0.679275
[71]	validation_0-merror:0.3	validation_0-mlogloss:0.678757
[72]	validation_0-merror:0.3	validation_0-mlogloss:0.679093
[73]	validation_0-merror:0.3	validation_0-mlogloss:0.681408
[74]	validation_0-merror:0.3	validation_0-mlogloss:0.681722
[75]	validation_0-merror:0.3	validation_0-mlogloss:0.68187
[76]	validation_0-merror:0.266667	validation_0-mlogloss:0.680106
Stopping. Best iteration:
[71]	validation_0-merror:0.3	validation_0-mlogloss:0.678757

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05826
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03014
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.99829
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969273
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.945041
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.927552
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.910476
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.898388
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.885459
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.875614
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.865245
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.854567
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.841016
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.831373
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.821451
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.812326
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.803775
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.799408
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.79387
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.789327
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.781954
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.778444
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.770748
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.769151
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.764092
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.761433
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.759157
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.75667
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.754885
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.751694
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.749319
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.746997
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.744405
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.744618
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.743433
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.741559
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.742555
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.738039
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.735632
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.733218
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.733252
[41]	validation_0-merror:0.35	validation_0-mlogloss:0.733459
[42]	validation_0-merror:0.35	validation_0-mlogloss:0.73395
[43]	validation_0-merror:0.35	validation_0-mlogloss:0.735745
[44]	validation_0-merror:0.35	validation_0-mlogloss:0.73684
Stopping. Best iteration:
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.733218

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03114
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.997493
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971589
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.948869
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.926473
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905896
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.897186
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.876178
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.867455
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.862827
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.85701
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.847907
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.839297
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.826326
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.817749
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.803161
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.794891
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.788027
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.778926
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.772487
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.762982
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.759601
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.75305
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.745517
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.740503
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.735307
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.732288
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.726912
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.720253
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.719754
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.714164
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.711252
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.707682
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.7052
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.700531
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.696272
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.694753
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.691393
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.688876
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.684875
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.680367
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.680377
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.680107
[44]	validation_0-merror:0.3	validation_0-mlogloss:0.680429
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.676812
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.676237
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.67747
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.67732
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.677888
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.678082
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.677057
Stopping. Best iteration:
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.676237

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05912
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.02403
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.995271
[3]	validation_0-merror:0.433333	validation_0-mlogloss:0.968259
[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.948169
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.92899
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.911982
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.898171
[8]	validation_0-merror:0.433333	validation_0-mlogloss:0.886244
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.873287
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.859437
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.850398
[12]	validation_0-merror:0.4	validation_0-mlogloss:0.834789
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.823533
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.814723
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.803935
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.796539
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.78672
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.779657
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.769546
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.764554
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.758892
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.754619
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.749056
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.747109
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.742895
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.737316
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.738705
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.739922
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.73757
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.736299
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.73708
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.73565
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.734738
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.728741
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.730692
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.728619
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.727762
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.724267
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.721825
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.71826
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.718992
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.719313
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.718798
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.716239
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.712614
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.710926
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.708359
[48]	validation_0-merror:0.333333	validation_0-mlogloss:0.709362
[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.711985
[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.710323
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.712937
[52]	validation_0-merror:0.333333	validation_0-mlogloss:0.709187
Stopping. Best iteration:
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.708359

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05601
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02212
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.992362
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969757
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.945534
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.927752
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.910943
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.895952
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.880061
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.866206
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.853044
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.843404
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.835992
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.822886
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.810569
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802698
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.797421
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.789842
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.782247
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.776835
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.774668
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.768519
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.764985
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.760232
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.755599
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.751559
[26]	validation_0-merror:0.366667	validation_0-mlogloss:0.748608
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.744534
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.739378
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.737797
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.73706
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.735227
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.732103
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.730115
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.728809
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.72691
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.729454
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.726831
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.725748
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.724356
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.725005
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.724658
[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.725149
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.726075
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.724968
Stopping. Best iteration:
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.724356

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05737
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02412
[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.994563
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.975064
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.948229
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.931659
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.916934
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.900914
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.890337
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.882763
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.86947
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.864794
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.854751
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.845178
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.836971
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.829775
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.822792
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.820153
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.813469
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.807123
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.802133
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.798147
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.793569
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.787742
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.783745
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.779265
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.774073
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.767268
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.763512
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.762569
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.755765
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.752968
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.750914
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.744984
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.742919
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.739444
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.737868
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.733592
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.733538
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.727928
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.727318
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.724796
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.7256
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.720044
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.720867
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.71748
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.715706
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.715212
[48]	validation_0-merror:0.3	validation_0-mlogloss:0.713944
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.710792
[50]	validation_0-merror:0.3	validation_0-mlogloss:0.71215
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.712917
[52]	validation_0-merror:0.3	validation_0-mlogloss:0.711708
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.709136
[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.708612
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.706591
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.705346
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.703422
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.703091
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.701584
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.702724
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.701569
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.701302
[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.699243
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.698638
[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.70094
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.69925
[67]	validation_0-merror:0.25	validation_0-mlogloss:0.70019
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.700237
[69]	validation_0-merror:0.25	validation_0-mlogloss:0.699311
Stopping. Best iteration:
[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.698638

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.04541
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00994
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.978839
[3]	validation_0-merror:0.3	validation_0-mlogloss:0.942614
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.921246
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.89222
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.869119
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.849286
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.830061
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.81162
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.799525
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.784699
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.773025
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.759957
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.751979
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.739769
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.72992
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.721534
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.718499
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.716458
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.709806
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.70564
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.698287
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.697043
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.693858
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.693843
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.688023
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.688515
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.686411
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.687377
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.681387
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.680215
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.676565
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.676184
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.678431
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.679672
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.678746
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.681894
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.681197
Stopping. Best iteration:
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.676184

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05428
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.00838
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.976354
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.942897
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.916344
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.887389
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.867337
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.848347
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.82419
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.811029
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.803124
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.799737
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.791555
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.786045
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.777633
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.770467
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.76683
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.760269
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.75511
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.750466
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.744762
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.744937
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741169
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.741041
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.74648
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.742512
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.740444
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.740164
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.740795
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.739151
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.738818
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.743926
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.743013
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.739047
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.739183
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.738536
[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.74175
[37]	validation_0-merror:0.366667	validation_0-mlogloss:0.743638
[38]	validation_0-merror:0.366667	validation_0-mlogloss:0.747853
[39]	validation_0-merror:0.366667	validation_0-mlogloss:0.756098
[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.757919
Stopping. Best iteration:
[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.738536

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05149
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0137
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.981471
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.962592
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.936281
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.916223
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.900423
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.888913
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.86569
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.854966
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.849211
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.83402
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.82162
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.810091
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.797663
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.790782
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.788356
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.777688
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.771289
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.765409
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.760772
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.761068
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754173
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.750666
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.746571
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.748117
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.748193
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.747585
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.744717
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.73914
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.737259
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.736261
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.734801
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.738081
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.733477
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.736832
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.731347
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.732082
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.732959
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.731014
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.725849
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.726523
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.726617
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.727333
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.731757
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.732525
Stopping. Best iteration:
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.725849

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05514
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02216
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.987828
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.962558
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.931228
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.907037
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.890929
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.877917
[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.860806
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.849421
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.840793
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.824502
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.804916
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.788734
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.778972
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.772275
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.760529
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.752153
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.743439
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.736704
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.7312
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.726211
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.722403
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.718273
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.714156
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.708719
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.708073
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.704996
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.70123
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69742
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.696184
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.694842
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.692736
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.691813
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.692193
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.694366
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.693272
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.694522
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.693091
Stopping. Best iteration:
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.691813

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05652
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03093
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.998903
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.980272
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.956976
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.933766
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.919272
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.909245
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.897311
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.886954
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.87325
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.856937
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.839306
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.827836
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.820006
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.812043
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.803357
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.79778
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.792241
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.786123
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.781089
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.778006
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.775442
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.772488
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.772358
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.76909
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.769651
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.769705
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.764892
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.766098
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.76799
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.766965
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.769048
[33]	validation_0-merror:0.366667	validation_0-mlogloss:0.768689
Stopping. Best iteration:
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.764892

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05801
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0313
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00026
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.979926
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.95676
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.93193
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.917078
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.903905
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.885211
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.869346
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.856187
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.839551
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.81975
[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.806621
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.800638
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789051
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.780384
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.774007
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.76675
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.760495
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.75357
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.754279
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.749003
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.744819
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.738703
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.733822
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.732076
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.728227
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.72347
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.721238
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.722602
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.724732
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.722597
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.720932
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.716383
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.715936
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.715265
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.717285
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.716045
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.717301
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.714783
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.713195
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.712077
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.712142
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.715794
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.714431
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.717739
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.716427
Stopping. Best iteration:
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.712077

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.04813
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01315
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.980018
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.950213
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.925624
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904816
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.885702
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869619
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.855528
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.837976
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.824725
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.816801
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.808629
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.797647
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.793597
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.786293
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775781
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769306
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.761783
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.755442
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748966
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.744575
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.741343
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.734208
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.726232
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.720445
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.720323
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.714285
[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.711196
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.709033
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.709399
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.707705
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.70917
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.708785
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.707934
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.710115
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.713005
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.707705

[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06472
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02557
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.993479
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.959867
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.936457
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.91703
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.896423
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.881522
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.862467
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.853431
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.842836
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.830309
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.826137
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.817362
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.809089
[15]	validation_0-merror:0.4	validation_0-mlogloss:0.80205
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.790312
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.786761
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.783076
[19]	validation_0-merror:0.4	validation_0-mlogloss:0.77771
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.772962
[21]	validation_0-merror:0.4	validation_0-mlogloss:0.764817
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.76327
[23]	validation_0-merror:0.4	validation_0-mlogloss:0.760614
[24]	validation_0-merror:0.4	validation_0-mlogloss:0.758229
[25]	validation_0-merror:0.4	validation_0-mlogloss:0.762286
[26]	validation_0-merror:0.4	validation_0-mlogloss:0.754891
[27]	validation_0-merror:0.4	validation_0-mlogloss:0.751623
[28]	validation_0-merror:0.4	validation_0-mlogloss:0.75057
[29]	validation_0-merror:0.4	validation_0-mlogloss:0.747353
[30]	validation_0-merror:0.4	validation_0-mlogloss:0.749661
[31]	validation_0-merror:0.4	validation_0-mlogloss:0.751536
[32]	validation_0-merror:0.4	validation_0-mlogloss:0.748193
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.746901
[34]	validation_0-merror:0.4	validation_0-mlogloss:0.748897
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.752565
[36]	validation_0-merror:0.4	validation_0-mlogloss:0.753208
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.754637
[38]	validation_0-merror:0.4	validation_0-mlogloss:0.762425
Stopping. Best iteration:
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.746901

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06089
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.03036
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.999297
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970285
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.945141
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925114
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.908511
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.894312
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.878199
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.862619
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.856526
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.843916
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.828743
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.822225
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.8102
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.801372
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.794555
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.785417
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.785101
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.777503
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.77713
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.773207
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767143
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.760301
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.75563
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.752391
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.749943
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.74842
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.745236
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.742676
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.739497
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.737564
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.736347
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.734216
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.731196
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.731766
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.735905
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.732356
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.735569
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.732293
Stopping. Best iteration:
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.731196

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05327
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01487
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.9759
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.948841
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.918652
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.895757
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.876043
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.859667
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.844285
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.837048
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.825584
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.811361
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.799912
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.791167
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.782213
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.773195
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765058
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.759991
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.758368
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.75538
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.750671
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.747176
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.748231
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.742696
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.741391
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.739109
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.73715
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.735368
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.734723
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.731443
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.731933
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.732754
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.73286
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.733284
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.731747
Stopping. Best iteration:
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.731443

[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.05376
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.018
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98199
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.957812
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.926232
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.902773
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882169
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.86483
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.849448
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.837214
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.823973
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812791
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.802634
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.798652
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.79083
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.783699
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.783131
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.778912
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.781233
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.777746
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.778363
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.778457
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.774416
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.7737
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.773554
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.776237
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.778438
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.784836
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.783242
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.786798
Stopping. Best iteration:
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.773554

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05676
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02229
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.983601
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.953458
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.922151
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.897783
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.874651
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.861708
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.848241
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.840027
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.830173
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.8195
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.80549
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.802011
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.792683
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.785956
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.773772
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.767435
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.765407
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.760916
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.7627
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.7603
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.757995
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.753642
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.748967
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.747721
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.74756
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.747695
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.746816
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.748821
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.75028
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.752889
[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.75511
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.755123
Stopping. Best iteration:
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.746816

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0504
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01679
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.981501
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.953698
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.932855
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.911086
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.889759
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.870229
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.852128
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.835111
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.822358
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.805683
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.794167
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.786294
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.779969
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.772543
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.764432
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763352
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.755185
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.751771
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.746576
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747056
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.742505
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.737377
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.73383
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.728619
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.726883
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.721601
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.718001
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.719964
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.716425
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.714893
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.715111
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.716718
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.718332
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.716
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.715783
Stopping. Best iteration:
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.714893

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05652
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.01859
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.984893
[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.95369
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.929516
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.913962
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.899117
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.887758
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.873805
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.85748
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.842415
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833568
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.823851
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.814303
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.806346
[15]	validation_0-merror:0.416667	validation_0-mlogloss:0.802536
[16]	validation_0-merror:0.4	validation_0-mlogloss:0.795911
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.78853
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.779431
[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.774635
[20]	validation_0-merror:0.4	validation_0-mlogloss:0.774252
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.768162
[22]	validation_0-merror:0.4	validation_0-mlogloss:0.769239
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.765236
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.766692
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.766927
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.758958
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.758422
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.761568
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.762656
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.763908
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.763707
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.761293
Stopping. Best iteration:
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.758422

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05887
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02484
[2]	validation_0-merror:0.3	validation_0-mlogloss:0.994168
[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.9616
[4]	validation_0-merror:0.283333	validation_0-mlogloss:0.939726
[5]	validation_0-merror:0.3	validation_0-mlogloss:0.923532
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.903311
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.88574
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.875029
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.86751
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.851802
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.842485
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.83437
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.829905
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.821908
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.816407
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.813
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.80906
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.804461
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.791579
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.786963
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.789148
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.786028
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.782875
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.782179
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.785141
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.781686
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.779089
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.782253
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.779684
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.778055
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.774742
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.773274
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.771824
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.770439
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.775134
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.774881
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.773437
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.769903
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.770235
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.769055
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.767758
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.766233
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.763651
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.760731
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.762917
[46]	validation_0-merror:0.3	validation_0-mlogloss:0.761793
[47]	validation_0-merror:0.3	validation_0-mlogloss:0.760957
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.760898
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.760442
[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.760774
[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.76198
[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.766387
[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.765581
[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.764257
Stopping. Best iteration:
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.760442

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.04922
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0094
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.976195
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.949984
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.926895
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.908234
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.889931
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.87593
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.863028
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.85097
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.84166
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.831375
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.820252
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.812143
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.805389
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.797279
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.790504
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.787732
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.785045
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.783639
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.783856
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.781297
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.775608
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.771942
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.764041
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.760196
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.753261
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.750666
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.747336
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.745721
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.742996
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.743457
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.740646
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.741765
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.740868
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.743736
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.742711
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.74021
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.744303
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.745194
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.745941
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.745493
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.746942
Stopping. Best iteration:
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.74021

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04768
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00777
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.974933
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.947148
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.923004
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.900693
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.881207
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.86428
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.848709
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.836951
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.830673
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.822705
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.81575
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.808998
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.807554
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.802816
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.798283
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.792252
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.791123
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.786978
[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.784244
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.783267
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.782184
[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.780606
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.77505
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.774503
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.772607
[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.770997
[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.77083
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.770793
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.771944
[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.77644
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.780503
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.783348
[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.787884
Stopping. Best iteration:
[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.770793

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.0529
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01398
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978067
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.958837
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.932339
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.910499
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.896172
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.883655
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.871181
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.859054
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.852208
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.840485
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.82971
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.827039
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.825983
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.82296
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.81692
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.815944
[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.811859
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.807218
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.81021
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.804168
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.802984
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.797831
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.796839
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.795279
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.791291
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.78867
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.784194
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.781808
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.775339
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.773154
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.771963
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.773099
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.770066
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.771921
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.769482
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.769368
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.767891
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.767675
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.768115
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.766335
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.766948
[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.766511
[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.767545
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.766775
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.766563
Stopping. Best iteration:
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.766335

[0]	validation_0-merror:0.316667	validation_0-mlogloss:1.05144
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01473
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.980782
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.956461
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.923612
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.898528
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.880875
[7]	validation_0-merror:0.3	validation_0-mlogloss:0.870922
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.855183
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.841326
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.829177
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.812271
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.792662
[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.778001
[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.768371
[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.759899
[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.751537
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.743611
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.736753
[19]	validation_0-merror:0.25	validation_0-mlogloss:0.728498
[20]	validation_0-merror:0.25	validation_0-mlogloss:0.724012
[21]	validation_0-merror:0.266667	validation_0-mlogloss:0.720533
[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.715502
[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.710624
[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.708136
[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.703154
[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.699174
[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.696605
[28]	validation_0-merror:0.25	validation_0-mlogloss:0.694438
[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.688679
[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.688517
[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.68343
[32]	validation_0-merror:0.25	validation_0-mlogloss:0.678998
[33]	validation_0-merror:0.25	validation_0-mlogloss:0.673337
[34]	validation_0-merror:0.25	validation_0-mlogloss:0.673729
[35]	validation_0-merror:0.25	validation_0-mlogloss:0.671943
[36]	validation_0-merror:0.25	validation_0-mlogloss:0.66979
[37]	validation_0-merror:0.233333	validation_0-mlogloss:0.669453
[38]	validation_0-merror:0.233333	validation_0-mlogloss:0.669261
[39]	validation_0-merror:0.233333	validation_0-mlogloss:0.669421
[40]	validation_0-merror:0.233333	validation_0-mlogloss:0.667679
[41]	validation_0-merror:0.233333	validation_0-mlogloss:0.667057
[42]	validation_0-merror:0.233333	validation_0-mlogloss:0.664644
[43]	validation_0-merror:0.233333	validation_0-mlogloss:0.665018
[44]	validation_0-merror:0.233333	validation_0-mlogloss:0.664505
[45]	validation_0-merror:0.233333	validation_0-mlogloss:0.661917
[46]	validation_0-merror:0.233333	validation_0-mlogloss:0.660993
[47]	validation_0-merror:0.233333	validation_0-mlogloss:0.660493
[48]	validation_0-merror:0.233333	validation_0-mlogloss:0.661137
[49]	validation_0-merror:0.25	validation_0-mlogloss:0.661688
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.661751
[51]	validation_0-merror:0.25	validation_0-mlogloss:0.660358
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.659923
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.659448
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.660848
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.662112
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.6606
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.660319
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.658964
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.658375
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.658633
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.658155
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.65703
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.657606
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.655388
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.654301
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.654541
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.656904
[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.657423
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.658089
[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.655189
Stopping. Best iteration:
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.654301

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0579
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03241
[2]	validation_0-merror:0.383333	validation_0-mlogloss:1.00428
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.983382
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.951774
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.928467
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.915977
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.907153
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.896561
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.884536
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.873269
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.857722
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.842197
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.82815
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.821971
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.813943
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.807964
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.803036
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.803092
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.795217
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.796594
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.792319
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.7907
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.787585
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.785879
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.783837
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.786241
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.78399
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.784497
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.783078
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.785796
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.784911
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.782643
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.78378
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.782458
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.781169
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.787323
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.791703
[38]	validation_0-merror:0.35	validation_0-mlogloss:0.791312
[39]	validation_0-merror:0.35	validation_0-mlogloss:0.795223
[40]	validation_0-merror:0.35	validation_0-mlogloss:0.793857
Stopping. Best iteration:
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.781169

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06658
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.03362
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.99884
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.981844
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.955739
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.928932
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.908183
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.893516
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.874108
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854952
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.840397
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.833609
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.811133
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.794134
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791046
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.779485
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.768175
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.759942
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.753456
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.746555
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.74156
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.740811
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736863
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.727994
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.720921
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.716071
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.715505
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.709141
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.704232
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.70246
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.704018
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.707765
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.703117
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.700769
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.695715
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.692976
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.696977
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.702627
[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.69966
[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.699119
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.697108
Stopping. Best iteration:
[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.692976

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05608
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.3	validation_0-mlogloss:1.02619
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.991943
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.962304
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.943644
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.921158
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.900269
[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.881454
[8]	validation_0-merror:0.3	validation_0-mlogloss:0.864947
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.845325
[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.834354
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.817277
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.804048
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.794403
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.787622
[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.777229
[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.769624
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.764741
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.758165
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753868
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.744674
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737683
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.726866
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.719091
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.712691
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.709185
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.70537
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.700946
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.696503
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.69491
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.691413
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.689436
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.688652
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.688363
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.685497
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.679978
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.678479
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.676155
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.672787
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.671293
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.669349
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.664776
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.663596
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.663028
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.660879
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.65811
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.660106
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.660837
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.660885
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.662049
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.6603
Stopping. Best iteration:
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.65811

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05695
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.45	validation_0-mlogloss:1.02448
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.994924
[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.960939
[4]	validation_0-merror:0.416667	validation_0-mlogloss:0.941183
[5]	validation_0-merror:0.433333	validation_0-mlogloss:0.925108
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.907552
[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.896485
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.88438
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.873334
[10]	validation_0-merror:0.4	validation_0-mlogloss:0.860382
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.851408
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.8405
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.829363
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.816939
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806767
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.798822
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.793961
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.785291
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.778113
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.772308
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.764978
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.767795
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.765945
[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.763789
[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.762472
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.756298
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.752126
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.753586
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.751518
[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.751019
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.750844
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.748097
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.746518
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.743269
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.739855
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.737617
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.734933
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.738259
[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.732996
[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.733794
[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.734847
[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.736322
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.729938
[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.732726
[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.733423
[46]	validation_0-merror:0.333333	validation_0-mlogloss:0.734115
[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.735052
[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.738531
Stopping. Best iteration:
[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.729938

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06052
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02872
[2]	validation_0-merror:0.366667	validation_0-mlogloss:1.00355
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.976736
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.953341
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.936879
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.91662
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.901942
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.886389
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.875851
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.869907
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.86255
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.846275
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.830407
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.815914
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.810056
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.802421
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.792757
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.785661
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.771222
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.765192
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.762802
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.760105
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.751251
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.746811
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.74245
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.736475
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.731515
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.729847
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.727285
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.723773
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.721278
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.717365
[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.715112
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.712881
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.711714
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.70503
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.701752
[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.698261
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.69823
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.6969
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.693495
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.693952
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.690728
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.689677
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.685488
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.685759
[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.684592
[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.685567
[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.684866
[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.681415
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.679204
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.67822
[53]	validation_0-merror:0.3	validation_0-mlogloss:0.677292
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.676787
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.673721
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.671009
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.673108
[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.676615
[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.673894
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.672749
[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.675225
Stopping. Best iteration:
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.671009

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05014
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0133
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.983256
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.956482
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.932624
[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.91368
[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.898534
[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.884716
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.872342
[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.861998
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.852451
[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.841035
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.832808
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.827212
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.821511
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.814138
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.809418
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.803656
[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.799248
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.794544
[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.790952
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.787319
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.783198
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.782771
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.779633
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.774207
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.772366
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.768615
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.767634
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.765213
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.763331
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.761308
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.761795
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.760458
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.760788
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.76028
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.75903
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.761482
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.75884
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.760293
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.758967
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.760164
[42]	validation_0-merror:0.3	validation_0-mlogloss:0.763776
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.76391
Stopping. Best iteration:
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.75884

[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.0493
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.00969
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.974506
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.950864
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.9234
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.905212
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.885944
[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.869281
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.852799
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.839679
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.830193
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.826324
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.818599
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.815348
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.810432
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.806565
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.80232
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.802003
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.798638
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.79505
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.796015
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.790111
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.787533
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.78534
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.781805
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.780259
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.781502
[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.781016
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.778831
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.783275
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.783392
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.784541
[32]	validation_0-merror:0.35	validation_0-mlogloss:0.787987
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.786919
Stopping. Best iteration:
[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.778831

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05059
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01231
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.974831
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.952651
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.933096
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.910312
[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.895118
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.879028
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.866283
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.855852
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.84804
[11]	validation_0-merror:0.3	validation_0-mlogloss:0.834578
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.828623
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.820841
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.818499
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.822046
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.823196
[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.815852
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.809894
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.80793
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.804756
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.803303
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.801119
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.799194
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.794947
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.792568
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.791647
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.788428
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.788472
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.782444
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.782082
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.775762
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.773253
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.768725
[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.767911
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.765129
[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.765852
[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.76615
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.769216
[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.766453
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.771737
Stopping. Best iteration:
[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.765129

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04991
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01286
[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.986738
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.950475
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.927721
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.901805
[6]	validation_0-merror:0.3	validation_0-mlogloss:0.880818
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.864344
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.851932
[9]	validation_0-merror:0.3	validation_0-mlogloss:0.835919
[10]	validation_0-merror:0.3	validation_0-mlogloss:0.823139
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.811959
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.800229
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.790949
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.783059
[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.774944
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.769069
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.760707
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.759395
[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.756007
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749368
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.74502
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.739188
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.734879
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.730703
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.726102
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.719339
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.721491
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.724023
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.722245
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.716781
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.71292
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.710259
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.707318
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.705663
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.703931
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.700895
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.700667
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.702811
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.693593
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.69461
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.691487
[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.691903
[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.692288
[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.691816
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.693308
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.694991
Stopping. Best iteration:
[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.691487

[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05593
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01344
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.984017
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.95151
[4]	validation_0-merror:0.3	validation_0-mlogloss:0.920504
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.896659
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.88113
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.859655
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.841209
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.826969
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.818599
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.814141
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.803253
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.798855
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.797627
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.78701
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.784241
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.781123
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.779557
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.773523
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.762689
[21]	validation_0-merror:0.35	validation_0-mlogloss:0.762781
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.760587
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.762965
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.764596
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.765836
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.764376
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.761394
Stopping. Best iteration:
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.760587

[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06034
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.25	validation_0-mlogloss:1.01509
[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.985204
[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.962419
[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.942212
[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.917736
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.896292
[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.882379
[8]	validation_0-merror:0.266667	validation_0-mlogloss:0.862125
[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.85057
[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.838986
[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.82573
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.814443
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.805078
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.794426
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.789375
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.785277
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.77899
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.779498
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.77504
[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.766553
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.76737
[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.764304
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.756435
[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.755625
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.753527
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.746658
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.744514
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.740097
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.735236
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.735438
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.730535
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.72876
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.732598
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.726519
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.731009
[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.728669
[37]	validation_0-merror:0.3	validation_0-mlogloss:0.727304
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.727088
[39]	validation_0-merror:0.3	validation_0-mlogloss:0.730339
Stopping. Best iteration:
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.726519

[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.0477
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0074
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.977567
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.948626
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.9271
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.905148
[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.888782
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.869245
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.852254
[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.836373
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.825429
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.813932
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805343
[13]	validation_0-merror:0.35	validation_0-mlogloss:0.795123
[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789193
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.780651
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.769321
[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.765446
[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757186
[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.75148
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.742577
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737644
[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.73492
[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.727097
[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.718508
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.713371
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.714724
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.709356
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.70369
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.705476
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.707057
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.706958
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.709818
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.713442
Stopping. Best iteration:
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.70369

[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06053
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02038
[2]	validation_0-merror:0.4	validation_0-mlogloss:0.985375
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.951029
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.925048
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.903554
[6]	validation_0-merror:0.4	validation_0-mlogloss:0.885245
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.871408
[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.852867
[9]	validation_0-merror:0.4	validation_0-mlogloss:0.845729
[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.837629
[11]	validation_0-merror:0.4	validation_0-mlogloss:0.82722
[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.825651
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.816675
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.811637
[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.799608
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.793824
[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.792468
[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.7857
[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.780704
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.778351
[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.767124
[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.766278
[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.760692
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.760003
[25]	validation_0-merror:0.383333	validation_0-mlogloss:0.757815
[26]	validation_0-merror:0.383333	validation_0-mlogloss:0.752763
[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.751376
[28]	validation_0-merror:0.383333	validation_0-mlogloss:0.741015
[29]	validation_0-merror:0.383333	validation_0-mlogloss:0.739773
[30]	validation_0-merror:0.383333	validation_0-mlogloss:0.738467
[31]	validation_0-merror:0.383333	validation_0-mlogloss:0.740058
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.737984
[33]	validation_0-merror:0.383333	validation_0-mlogloss:0.739013
[34]	validation_0-merror:0.383333	validation_0-mlogloss:0.74485
[35]	validation_0-merror:0.383333	validation_0-mlogloss:0.751367
[36]	validation_0-merror:0.383333	validation_0-mlogloss:0.750225
[37]	validation_0-merror:0.383333	validation_0-mlogloss:0.752008
Stopping. Best iteration:
[32]	validation_0-merror:0.383333	validation_0-mlogloss:0.737984

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06106
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02791
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.994714
[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.962407
[4]	validation_0-merror:0.35	validation_0-mlogloss:0.935632
[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.914989
[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.892737
[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.880219
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.863983
[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.851493
[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.844207
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.829947
[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.814123
[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.808994
[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.793209
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.7783
[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.767963
[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.76383
[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.763991
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.760338
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.763547
[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.764154
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.76163
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.756494
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.756833
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.754292
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.747975
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.740983
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.732514
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.732417
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.726635
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.726138
[32]	validation_0-merror:0.3	validation_0-mlogloss:0.728005
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.729766
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.728016
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.728324
[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.729186
Stopping. Best iteration:
[31]	validation_0-merror:0.3	validation_0-mlogloss:0.726138

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05127
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00703
[2]	validation_0-merror:0.35	validation_0-mlogloss:0.975826
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.947766
[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.922496
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.900534
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.877873
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.862212
[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.837533
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.823745
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.811736
[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.799776
[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.79186
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.787032
[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.778435
[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.771739
[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.766756
[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.762396
[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.757537
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.750997
[20]	validation_0-merror:0.266667	validation_0-mlogloss:0.746935
[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.747381
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745152
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.738474
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.729277
[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.724823
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.726348
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.719502
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.716678
[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.720092
[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.719702
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.722539
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.725783
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.723686
Stopping. Best iteration:
[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.716678

[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06157
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02131
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.985608
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.955619
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.932095
[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.909505
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.886316
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.872807
[8]	validation_0-merror:0.4	validation_0-mlogloss:0.85877
[9]	validation_0-merror:0.416667	validation_0-mlogloss:0.846317
[10]	validation_0-merror:0.416667	validation_0-mlogloss:0.837128
[11]	validation_0-merror:0.416667	validation_0-mlogloss:0.82793
[12]	validation_0-merror:0.416667	validation_0-mlogloss:0.825004
[13]	validation_0-merror:0.4	validation_0-mlogloss:0.822181
[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.813779
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.802028
[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.795693
[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.795624
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.789846
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.784146
[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.784877
[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.777284
[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.774205
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.771408
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.771543
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.77127
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.771051
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.769722
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.765477
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.766771
[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.76755
[31]	validation_0-merror:0.35	validation_0-mlogloss:0.766126
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.763039
[33]	validation_0-merror:0.35	validation_0-mlogloss:0.765406
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.769575
[35]	validation_0-merror:0.35	validation_0-mlogloss:0.781918
[36]	validation_0-merror:0.35	validation_0-mlogloss:0.783013
[37]	validation_0-merror:0.35	validation_0-mlogloss:0.789481
Stopping. Best iteration:
[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.763039

[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05411
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01755
[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.987237
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.952344
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.920738
[5]	validation_0-merror:0.35	validation_0-mlogloss:0.899426
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.882042
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.863225
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.850764
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.835089
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.83627
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.821096
[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80304
[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.797945
[14]	validation_0-merror:0.35	validation_0-mlogloss:0.784962
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.772604
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.763278
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.751725
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.752836
[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.748745
[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.747851
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.745752
[22]	validation_0-merror:0.35	validation_0-mlogloss:0.745694
[23]	validation_0-merror:0.35	validation_0-mlogloss:0.744444
[24]	validation_0-merror:0.35	validation_0-mlogloss:0.743965
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.743621
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.753753
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.756908
[28]	validation_0-merror:0.35	validation_0-mlogloss:0.753714
[29]	validation_0-merror:0.35	validation_0-mlogloss:0.753429
[30]	validation_0-merror:0.35	validation_0-mlogloss:0.75516
Stopping. Best iteration:
[25]	validation_0-merror:0.35	validation_0-mlogloss:0.743621

[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04825
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00434
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.96928
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.939676
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.913699
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.896787
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.878841
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868474
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.858825
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.851674
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.843864
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829026
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.825813
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.821452
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.814664
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.804886
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.802894
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.79455
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.788934
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.782373
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.77723
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.777494
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.771118
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.76987
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.766319
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.763399
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.761899
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.759319
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.75942
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.755099
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.75519
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.754293
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.755796
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.758883
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.758814
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.758542
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.756865
Stopping. Best iteration:
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.754293

/Users/wilsons/anaconda3/envs/pyjup/lib/python3.6/site-packages/sklearn/model_selection/_search.py:813: DeprecationWarning: The default of the `iid` parameter will change from True to False in version 0.22 and will be removed in 0.24. This will change numeric results when test-set sizes are unequal.
  DeprecationWarning)
In [36]:
randomSearchTime = (endRandom - startRandom).seconds
print(f'RandomSearch took {randomSearchTime} seconds')
RandomSearch took 15 seconds

Best

In [37]:
randomsearch.best_params_
Out[37]:
{'subsample': 1.0,
 'min_child_weight': 4,
 'max_depth': 4,
 'gamma': 0.1,
 'colsample_bytree': 1.0}

Fit

In [38]:
model = xgb.XGBClassifier(n_estimators=10000,
                       max_depth=randomsearch.best_params_['max_depth'],
                       min_child_weight=randomsearch.best_params_['min_child_weight'],
                       gamma=randomsearch.best_params_['gamma'],
                       colsample_bytree=randomsearch.best_params_['colsample_bytree'],
                       subsample=randomsearch.best_params_['subsample'],
                       objective='mlogloss',
                       num_class=3,
                       learning_rate=0.1,
                       verbosity=1)

model.fit(X_train_proc, y_train,
        early_stopping_rounds=5,
        eval_metric=[ 'merror', 'mlogloss'],
        eval_set=eval_set,
        verbose=True)
[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.04825
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00434
[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.96928
[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.939676
[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.913699
[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.896787
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.878841
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.868474
[8]	validation_0-merror:0.35	validation_0-mlogloss:0.858825
[9]	validation_0-merror:0.35	validation_0-mlogloss:0.851674
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.843864
[11]	validation_0-merror:0.35	validation_0-mlogloss:0.829026
[12]	validation_0-merror:0.35	validation_0-mlogloss:0.825813
[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.821452
[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.814664
[15]	validation_0-merror:0.35	validation_0-mlogloss:0.804886
[16]	validation_0-merror:0.35	validation_0-mlogloss:0.802894
[17]	validation_0-merror:0.35	validation_0-mlogloss:0.79455
[18]	validation_0-merror:0.35	validation_0-mlogloss:0.788934
[19]	validation_0-merror:0.35	validation_0-mlogloss:0.782373
[20]	validation_0-merror:0.35	validation_0-mlogloss:0.77723
[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.777494
[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.771118
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.76987
[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.766319
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.763399
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.761899
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.759319
[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.75942
[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.755099
[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.75519
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.754293
[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.755796
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.758883
[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.758814
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.758542
[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.756865
Stopping. Best iteration:
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.754293

Out[38]:
XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
              colsample_bytree=1.0, gamma=0.1, learning_rate=0.1,
              max_delta_step=0, max_depth=4, min_child_weight=4, missing=None,
              n_estimators=10000, n_jobs=1, nthread=None, num_class=3,
              objective='multi:softprob', random_state=0, reg_alpha=0,
              reg_lambda=1, scale_pos_weight=1, seed=None, silent=True,
              subsample=1.0, verbosity=1)

Predict

In [39]:
proba  = model.predict_proba(X_test_proc, model.best_iteration)
pred   = np.argmax(proba, axis=1)
truth  = y_test.astype('category').cat.codes
acc    = errors(truth, pred);
Accuracy 0.6933333333333334
Confusion Matrix
[[19  0  2]
 [ 6 18  8]
 [ 2  5 15]]
Classification Report
              precision    recall  f1-score   support

           0       0.70      0.90      0.79        21
           1       0.78      0.56      0.65        32
           2       0.60      0.68      0.64        22

    accuracy                           0.69        75
   macro avg       0.70      0.72      0.69        75
weighted avg       0.71      0.69      0.69        75

Log Results

In [40]:
resultsDF.loc['RandomSearch'] = [randomSearchTime, acc]
resultsDF
Out[40]:
Time Accuracy
Default 0.0 0.666667
GridSearch 145.0 0.733333
RandomSearch 15.0 0.693333

Bayesian Optimization

  • In the battleship metaphor, search where you're most likely to find a ship
  • We'll use the hyperopt implementation
  • It uses four things:
    • Search Space - Think priors
    • Algorithm - They have 3 implementations, we'll be using tree of parzen estimators
    • Objective - The function we want to optimize
    • Trials - A recorder holding information about the process & results
  • Tree of Parzen Estimator
    • Parzen Estimator = Kernel window density estimation
    • Sequential, model based approach to optimization
    • Construct models to approximate performance of hyperparameters
    • Choose new hyper parameters to test this model
    • Incorporate results
    • Repeat until time or iterations reached
  • Other libraries are available:
    • Spearmint
    • MOE
    • SMAC

Search Space

  • choice = Categorical Variables
  • quniform = Discrete Uniform (even spaced ints)
  • uniform = Continuous Uniform (even spaced floats)
  • loguniform = Continuous Log Uniform (even spaced floats of log scale)
  • There are quite a few others...
In [41]:
space = {
    'max_depth'        : hp.quniform('max_depth', 2, 10, 2),
    'min_child_weight' : hp.quniform('min_child_weight', 1, 5, 1),
    'gamma'            : hp.uniform('gamma', 0.0, 0.3),
    'subsample'        : hp.uniform('subsample', 0.6, 1.0),
    'colsample_bytree' : hp.uniform('colsample_bytree', 0.6, 1.0)
}
In [42]:
def densityPlotSpace(space, param, color='red'):
    vals = []
    for _ in range(1000):
        vals.append(sample(space))
    plt.figure(figsize=(8,6))
    sns.kdeplot(vals, color=color, linewidth=2, shade=True)
    plt.title(f'{param} distribution')
    plt.ylabel('density')
    plt.xlabel(param)

Max Depth

In [43]:
densityPlotSpace(space['max_depth'], 'max_depth')

Min Child Weight

In [44]:
densityPlotSpace(space['min_child_weight'], 'min_child_weight', color='blue')

Gamma

In [45]:
densityPlotSpace(space['gamma'], 'gamma', color='yellow')

Subsample

In [46]:
densityPlotSpace(space['subsample'], 'subsample', color='green')

Colsample Bytree

In [47]:
densityPlotSpace(space['colsample_bytree'], 'colsample_bytree', color='orange')

Algorithm

In [48]:
algorithm = tpe.suggest

History

In [49]:
trials = Trials()

Objective

In [50]:
def objective(params):
    
    eval_set = [(X_val_proc, y_val)]
    
    model = xgb.XGBClassifier(n_estimators=10000,
                       max_depth=int(params['max_depth']),
                       min_child_weight=params['min_child_weight'],
                       gamma=params['gamma'],
                       colsample_bytree=params['colsample_bytree'],
                       subsample=params['subsample'],
                       objective='mlogloss',
                       num_class=3,
                       learning_rate=0.1,
                       verbosity=1)

    model.fit(X_train_proc, y_train,
            early_stopping_rounds=5,
            eval_metric=[ 'merror', 'mlogloss'],
            eval_set=eval_set,
            verbose=True)
    
    proba  = model.predict_proba(X_val_proc, model.best_iteration)
    pred   = np.argmax(proba, axis=1)
    truth  = y_val.astype('category').cat.codes
    acc = accuracy_score(pred, truth)
    loss = log_loss(truth, proba, labels=[0,1,2])
    return {'loss': loss, 'acc': acc, 'status': STATUS_OK}

Optimization

In [51]:
startHyper = datetime.datetime.now()
EVALS=100
best = fmin(fn=objective,
           space=space,
           algo=algorithm,
           max_evals=EVALS,
           trials=trials)
endHyper = datetime.datetime.now()
[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05947

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.

[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02097

[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.994344

[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.96814

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.939934

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.920539

[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.892173

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.870573

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.85208

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.836899

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.817149

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.801588

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.79193

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.780454

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.772258

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.769946

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.760673

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.752518

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.753329

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.749194

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.744543

[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.737965

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.731794

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.729708

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.724404

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.727275

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.723224

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.72024

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.719085

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.718332

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.717414

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.710646

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.710363

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.710359

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.709238

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.712148

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.717969

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.714896

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.715522

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.714495

Stopping. Best iteration:                            
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.709238


[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05171                

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.           

[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01152                

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.974109               

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.943854               

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.92658                

[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.905915               

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.884927               

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.86586                    

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.849578               

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.831551               

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.814362              

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.800996                   

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.787891              

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.775453                  

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.763113              

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.755698              

[16]	validation_0-merror:0.3	validation_0-mlogloss:0.751528                   

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.747037                   

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.742337              

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.743956              

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.741474                   

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.737268                   

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.728996                   

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724035                   

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.719999              

[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.709874              

[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.708262              

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.711575                   

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.714831                   

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.718147                   

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.713282                   

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.708291                   

Stopping. Best iteration:                                                     
[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.708262


[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05713                

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.           

[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01894                     

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.985218               

[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.961223               

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.935769               

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.913351                   

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.890752                   

[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.877312               

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.859716               

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.845519               

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.832706                  

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.818575              

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.809591              

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.795675              

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788465              

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.779724              

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.770727              

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.773351              

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.773737              

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.767757              

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.763533                   

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.754785                   

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.75007               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748122              

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.745259              

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.738121              

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.735656              

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.735953              

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.73537               

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.733318                   

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.73074                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.726136                   

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.724442                   

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.724902                   

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.721189                   

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.720204                   

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.724951                   

[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.727312              

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.727675                   

[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.727085              

[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.726432              

Stopping. Best iteration:                                                     
[35]	validation_0-merror:0.3	validation_0-mlogloss:0.720204


[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06084                    

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.           

[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02592                    

[2]	validation_0-merror:0.3	validation_0-mlogloss:0.99137                     

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.963372               

[4]	validation_0-merror:0.4	validation_0-mlogloss:0.945527                    

[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.923275               

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.903089               

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.884271               

[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.866546               

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.852203                   

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.837199              

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.823162              

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.814809                  

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.805617                  

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.795171              

[15]	validation_0-merror:0.35	validation_0-mlogloss:0.786238                  

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.780423                  

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.77224                   

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.763334              

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.757799              

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749953              

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.746427              

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740255              

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.737241              

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.73338               

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.731221              

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.726276              

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.720689              

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.718855              

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.718055              

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.712852              

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.708967              

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.70425               

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.700409                   

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.697447                   

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.696336              

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.693277                   

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.691439                   

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.688462                   

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.688225                   

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.684629                   

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.683087                   

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.680436                   

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.679371                   

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.680835              

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.679914              

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.679274              

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.680837              

[48]	validation_0-merror:0.3	validation_0-mlogloss:0.679542                   

[49]	validation_0-merror:0.3	validation_0-mlogloss:0.679767                   

[50]	validation_0-merror:0.3	validation_0-mlogloss:0.680562                   

[51]	validation_0-merror:0.3	validation_0-mlogloss:0.675995                   

[52]	validation_0-merror:0.3	validation_0-mlogloss:0.676634                   

[53]	validation_0-merror:0.3	validation_0-mlogloss:0.676472                   

[54]	validation_0-merror:0.3	validation_0-mlogloss:0.675338                   

[55]	validation_0-merror:0.3	validation_0-mlogloss:0.674426                   

[56]	validation_0-merror:0.3	validation_0-mlogloss:0.673733                   

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.673484              

[58]	validation_0-merror:0.3	validation_0-mlogloss:0.674128                   

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.675129              

[60]	validation_0-merror:0.3	validation_0-mlogloss:0.678966                   

[61]	validation_0-merror:0.3	validation_0-mlogloss:0.678135                   

[62]	validation_0-merror:0.3	validation_0-mlogloss:0.67554                    

Stopping. Best iteration:                                                     
[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.673484


[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06213                    

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.           

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02528                

[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996822                   

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.973311               

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.950375               

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926682                   

[6]	validation_0-merror:0.3	validation_0-mlogloss:0.898713                    

[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.876981               

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.862983               

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847621                   

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.834642                  

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.823277                  

[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.815165              

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.807355                  

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.800141                  

[15]	validation_0-merror:0.35	validation_0-mlogloss:0.791849                  

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.786956                  

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.785324              

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.780516              

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.774139                  

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.770099              

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.767148              

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.760646              

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.75837               

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.759721              

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.756836              

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.757523              

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.756342              

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.752147              

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.748656              

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.748679              

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.745593              

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.747236              

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.747347              

[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.744617              

[35]	validation_0-merror:0.35	validation_0-mlogloss:0.746118                  

[36]	validation_0-merror:0.35	validation_0-mlogloss:0.743979                  

[37]	validation_0-merror:0.35	validation_0-mlogloss:0.742466                  

[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.739259              

[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.738444              

[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.736957              

[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.736506              

[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.738001              

[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.741499              

[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.743927              

[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.740031              

[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.737605              

Stopping. Best iteration:                                                     
[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.736506


[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05376                

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.           

[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01457                

[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.982516               

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.951994               

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.928535               

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.90723                

[6]	validation_0-merror:0.4	validation_0-mlogloss:0.885406                    

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.859718               

[8]	validation_0-merror:0.3	validation_0-mlogloss:0.8446                      

[9]	validation_0-merror:0.3	validation_0-mlogloss:0.831514                    

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.817913                   

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.804176                   

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.797354              

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.787981              

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.789285              

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.778038              

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774831              

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.771239              

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.76431                    

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.753714                   

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.747271              

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.744927              

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.73748               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.733703              

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.729779              

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.734139              

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.735231              

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.73084               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.728441              

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.722327              

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.723117              

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.720833              

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.717826              

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.714838              

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.715689              

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.716178              

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.713607              

[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.714076              

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.712268                   

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.712821                   

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.709211                   

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.711943                   

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.710253                   

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.710222                   

[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.717138              

[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.715584              

Stopping. Best iteration:                                                     
[40]	validation_0-merror:0.3	validation_0-mlogloss:0.709211


[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05385                     

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.           

[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01661                    

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.979463               

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.951905               

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.925459               

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.905753               

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.883162               

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.865432               

[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.846964               

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.833599               

[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.819852              

[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.807986              

[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.800262              

[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.79392               

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788405              

[15]	validation_0-merror:0.35	validation_0-mlogloss:0.774927                  

[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.769823              

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.765139                  

[18]	validation_0-merror:0.35	validation_0-mlogloss:0.759465                  

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.75591               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.747658              

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.745883              

[22]	validation_0-merror:0.35	validation_0-mlogloss:0.741675                  

[23]	validation_0-merror:0.35	validation_0-mlogloss:0.739549                  

[24]	validation_0-merror:0.35	validation_0-mlogloss:0.738341                  

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.734945              

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.733839              

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.730271              

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.728922              

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.725054              

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.72128               

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.718639              

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.719266              

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.721546              

[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.720279              

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.721276              

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.719978              

Stopping. Best iteration:                                                     
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.718639


[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05732                

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.           

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0158                 

[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.981386               

[3]	validation_0-merror:0.3	validation_0-mlogloss:0.958144                    

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.929961               

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.909443               

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.873326                   

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.852923                   

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.837671               

[9]	validation_0-merror:0.3	validation_0-mlogloss:0.820763                    

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.805807                   

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.794195              

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.784638              

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.7759                

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.773059              

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.766942              

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.765489              

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763109              

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.762114              

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753725              

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749173              

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.746996              

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.741526                   

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.738798              

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.734726              

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.732328              

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.728643              

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.727465              

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.732024              

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.735451              

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.731772              

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.731521              

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.732397              

Stopping. Best iteration:                                                     
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.727465


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05732                

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.           

[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01831                    

[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.985179               

[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.953071               

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.924917               

[5]	validation_0-merror:0.3	validation_0-mlogloss:0.90347                     

[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.881479               

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.860216               

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.8389                 

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.824248               

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.808021              

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.796946              

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.788786                   

[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.778848              

[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.772308              

[15]	validation_0-merror:0.266667	validation_0-mlogloss:0.765172              

[16]	validation_0-merror:0.3	validation_0-mlogloss:0.757242                   

[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.748456              

[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.746148              

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.740252                   

[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.733779              

[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.72893               

[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.724697              

[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.718444              

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.708599                   

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.702525                   

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.699995                   

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.699422                   

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699193                   

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.696285                   

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.693456                   

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.691964                   

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.690619                   

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.690367                   

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.690179                   

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.691389                   

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.697816                   

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.694893                   

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.695634                   

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.694839                   

Stopping. Best iteration:                                                     
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.690179


[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06343                    

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.           

[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02529                

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.991363               

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.965431               

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.943455               

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.921064                   

[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.899785               

[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.880025               

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.861775                   

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.8432                 

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.831321              

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.819353              

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.807918              

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.798419              

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.788581              

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.782924              

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.777839                  

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.772546                  

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.768249              

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.764248              

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.761028                   

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.752605                   

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.746563              

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.738996              

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.72997               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.72608               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.724515              

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.722346              

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.72042               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.716925              

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.708651              

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.705174              

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.705242              

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.705938              

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.703597              

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.703484              

[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.704345              

[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.702329              

[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.70233               

[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.703749              

[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.701686              

[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.699138              

[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.700385              

[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.696788              

[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.695554              

[45]	validation_0-merror:0.3	validation_0-mlogloss:0.69255                    

[46]	validation_0-merror:0.3	validation_0-mlogloss:0.691533                   

[47]	validation_0-merror:0.3	validation_0-mlogloss:0.693451                   

[48]	validation_0-merror:0.3	validation_0-mlogloss:0.695388                   

[49]	validation_0-merror:0.3	validation_0-mlogloss:0.689893                   

[50]	validation_0-merror:0.3	validation_0-mlogloss:0.689187                   

[51]	validation_0-merror:0.3	validation_0-mlogloss:0.689003                   

[52]	validation_0-merror:0.3	validation_0-mlogloss:0.690419                   

[53]	validation_0-merror:0.3	validation_0-mlogloss:0.691458                   

[54]	validation_0-merror:0.3	validation_0-mlogloss:0.693967                   

[55]	validation_0-merror:0.3	validation_0-mlogloss:0.694717                   

[56]	validation_0-merror:0.3	validation_0-mlogloss:0.695065                   

Stopping. Best iteration:                                                     
[51]	validation_0-merror:0.3	validation_0-mlogloss:0.689003


[0]	validation_0-merror:0.516667	validation_0-mlogloss:1.06334                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.01884                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.978772                

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.951371                    

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.924206                

[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.903784                

[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.879247                

[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.859443                

[8]	validation_0-merror:0.3	validation_0-mlogloss:0.846139                     

[9]	validation_0-merror:0.3	validation_0-mlogloss:0.830388                     

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.819302                    

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.810941               

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.803123                    

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.792543               

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790062               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.784428               

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776688               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772869               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767284               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.761001               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.757312               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.757778               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.754515               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.756211               

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.756948               

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.756041               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.752472               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.750326               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.747394               

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.748478               

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.749731               

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.749547               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.749249               

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.744088               

[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.746177               

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.746949               

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.746761               

[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.748475               

[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.747663               

Stopping. Best iteration:                                                      
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.744088


[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05718                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.01745                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.983348                

[3]	validation_0-merror:0.283333	validation_0-mlogloss:0.95677                 

[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.93295                 

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.913331                

[6]	validation_0-merror:0.3	validation_0-mlogloss:0.890034                     

[7]	validation_0-merror:0.3	validation_0-mlogloss:0.871439                     

[8]	validation_0-merror:0.3	validation_0-mlogloss:0.851256                     

[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.837993                

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.822631                    

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.812814                    

[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.802204               

[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.79334                

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.78728                     

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.778825                    

[16]	validation_0-merror:0.3	validation_0-mlogloss:0.772307                    

[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.765213               

[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.76183                

[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.752181               

[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.748665               

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741761                    

[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.734344               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.731902               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.730127               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.732842               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.730579               

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.729371               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.725912               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.718862               

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.716006                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.712013                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.710922                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.710521                    

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.709538               

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.709607                    

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.707602               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.705039               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.702697               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.700511               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.698656               

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.69677                     

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.698647                    

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.695598               

[44]	validation_0-merror:0.3	validation_0-mlogloss:0.697143                    

[45]	validation_0-merror:0.3	validation_0-mlogloss:0.696611                    

[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.695529               

[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.699727               

[48]	validation_0-merror:0.3	validation_0-mlogloss:0.70171                     

[49]	validation_0-merror:0.3	validation_0-mlogloss:0.701658                    

[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.700314               

[51]	validation_0-merror:0.3	validation_0-mlogloss:0.701488                    

Stopping. Best iteration:                                                      
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.695529


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05493                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01408                 

[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.981753                

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.959695                

[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.941005                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.917766                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.892098                    

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.876254                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.856206                

[9]	validation_0-merror:0.3	validation_0-mlogloss:0.838764                     

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.826738               

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.808259                    

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.800682               

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.79042                

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.782236               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.778682               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.777232               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.770788               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.772874               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.772277               

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.770568                   

[21]	validation_0-merror:0.35	validation_0-mlogloss:0.766451                   

[22]	validation_0-merror:0.35	validation_0-mlogloss:0.761162                   

[23]	validation_0-merror:0.35	validation_0-mlogloss:0.755553                   

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.748824               

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.739832               

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.740395               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.744247               

[28]	validation_0-merror:0.35	validation_0-mlogloss:0.748047                   

[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.74845                

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.746727               

Stopping. Best iteration:                                                      
[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.739832


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05692                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01395                 

[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.983296                

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.956044                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.926009                    

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.903193                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.881225                    

[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.864551                

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.847196                

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.827519                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.813069               

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.794527                    

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.783707               

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.771184               

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.761751               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.756437               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.750211               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.743821               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.74381                

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.744045               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.738527               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.73658                

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.734356               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.732956               

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.722631               

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.717015               

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.716803               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.720046               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.72193                

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.720384               

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.715276               

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.713561               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.713599               

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.707307               

[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.707787               

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.710379               

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.711864               

[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.717106               

[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.718108               

Stopping. Best iteration:                                                      
[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.707307


[0]	validation_0-merror:0.283333	validation_0-mlogloss:1.04852                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.00794                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.972872                

[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.949397                

[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.92758                 

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.904802                    

[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.880325                

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.870726                    

[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.858664                

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.840607                    

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.832184                   

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.820823                   

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.81236                    

[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.808867               

[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.803619               

[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.796149               

[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.790453               

[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.78553                

[18]	validation_0-merror:0.383333	validation_0-mlogloss:0.77958                

[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.774624               

[20]	validation_0-merror:0.383333	validation_0-mlogloss:0.768633               

[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.768969               

[22]	validation_0-merror:0.383333	validation_0-mlogloss:0.764834               

[23]	validation_0-merror:0.416667	validation_0-mlogloss:0.763206               

[24]	validation_0-merror:0.416667	validation_0-mlogloss:0.760351               

[25]	validation_0-merror:0.416667	validation_0-mlogloss:0.757221               

[26]	validation_0-merror:0.4	validation_0-mlogloss:0.756269                    

[27]	validation_0-merror:0.383333	validation_0-mlogloss:0.750504               

[28]	validation_0-merror:0.366667	validation_0-mlogloss:0.750481               

[29]	validation_0-merror:0.366667	validation_0-mlogloss:0.745643               

[30]	validation_0-merror:0.366667	validation_0-mlogloss:0.744191               

[31]	validation_0-merror:0.366667	validation_0-mlogloss:0.745249               

[32]	validation_0-merror:0.366667	validation_0-mlogloss:0.742238               

[33]	validation_0-merror:0.35	validation_0-mlogloss:0.739491                   

[34]	validation_0-merror:0.35	validation_0-mlogloss:0.741447                   

[35]	validation_0-merror:0.35	validation_0-mlogloss:0.737049                   

[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.734898               

[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.737596               

[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.737513               

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.734304                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.73401                     

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.732901                    

[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.733588               

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.735238                    

[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.738618               

[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.735381               

[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.736338               

Stopping. Best iteration:                                                      
[41]	validation_0-merror:0.3	validation_0-mlogloss:0.732901


[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06375                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02579                 

[2]	validation_0-merror:0.3	validation_0-mlogloss:0.996853                     

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.968128                

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.945194                

[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.920734                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.895004                

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.878588                

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.859099                    

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.842758                    

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.829036               

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.818908               

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.809581               

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.799383               

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.790447                   

[15]	validation_0-merror:0.35	validation_0-mlogloss:0.786277                   

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.776443                   

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.767922                   

[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.763133               

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.756766                   

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.748422               

[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.742923               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.739174               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.73393                

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.72635                

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.719838               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.719166               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.720092               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.723931               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.725314               

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.719843                    

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.721019               

Stopping. Best iteration:                                                      
[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.719166


[0]	validation_0-merror:0.35	validation_0-mlogloss:1.0592                      

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02144                 

[2]	validation_0-merror:0.266667	validation_0-mlogloss:0.9833                  

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.958471                    

[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.931232                

[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.90593                 

[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.881443                

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.86057                 

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.840567                

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.826039                

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.815409                   

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.802389               

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.795104               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.78953                

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.779528                    

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.770635               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.765612               

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.762699                   

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.753744               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.749336               

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.744596                   

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.74225                

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.736327               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.732248               

[24]	validation_0-merror:0.35	validation_0-mlogloss:0.730604                   

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.731667               

[26]	validation_0-merror:0.35	validation_0-mlogloss:0.731832                   

[27]	validation_0-merror:0.35	validation_0-mlogloss:0.729947                   

[28]	validation_0-merror:0.35	validation_0-mlogloss:0.726405                   

[29]	validation_0-merror:0.35	validation_0-mlogloss:0.720909                   

[30]	validation_0-merror:0.35	validation_0-mlogloss:0.715592                   

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.712686               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.710423               

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.70946                

[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.705686               

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.705663               

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.705692               

[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.704123               

[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.704828               

[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.706724               

[40]	validation_0-merror:0.366667	validation_0-mlogloss:0.708377               

[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.708541               

[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.707269               

Stopping. Best iteration:                                                      
[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.704123


[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06225                     

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02529                 

[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.99523                 

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.964314                

[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.940637                

[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.918864                

[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.892032                

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.872005                

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.85728                 

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.840425                

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.825387               

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.817071               

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808579               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.79885                

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.789639               

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.78357                     

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.778952               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.772027               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.769119               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.765242               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.759613               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.75549                

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.749591               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.745827               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.738247               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.733671               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.728109               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.729345               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.730446               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.726554               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.722826               

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.722803               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.721319               

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.719406               

[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.71513                

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.71351                

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.720708               

[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.719063               

[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.721202               

[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.720432               

[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.716144               

Stopping. Best iteration:                                                      
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.71351


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06005                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02129                 

[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.991468                

[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.964227                

[4]	validation_0-merror:0.433333	validation_0-mlogloss:0.942879                

[5]	validation_0-merror:0.4	validation_0-mlogloss:0.923834                     

[6]	validation_0-merror:0.4	validation_0-mlogloss:0.90117                      

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.884435                

[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.863365                

[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.853368                

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.838342               

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.824002                   

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.810867               

[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.803193               

[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.798992               

[15]	validation_0-merror:0.35	validation_0-mlogloss:0.7878                     

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.781989               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.77523                

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.773347               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.765684               

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.757162                    

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.760253               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.753509               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.751515               

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.750943               

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.749968               

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.749078               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.744337               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.742871               

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.735888               

[30]	validation_0-merror:0.35	validation_0-mlogloss:0.737812                   

[31]	validation_0-merror:0.35	validation_0-mlogloss:0.73803                    

[32]	validation_0-merror:0.35	validation_0-mlogloss:0.739295                   

[33]	validation_0-merror:0.35	validation_0-mlogloss:0.742836                   

[34]	validation_0-merror:0.366667	validation_0-mlogloss:0.743998               

Stopping. Best iteration:                                                      
[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.735888


[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05495                      

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01573                 

[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.979218                

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.954055                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.925269                    

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.904354                

[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.874076                

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.85892                 

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.843332                

[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.827102                

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.814069                    

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.799086                    

[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.786005               

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.775599                    

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.770562                    

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.761927               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.757921               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.758864               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.757857               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.753213               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.749125               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.744312               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.741694               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.736827               

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.735952               

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.726298               

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.722877               

[27]	validation_0-merror:0.35	validation_0-mlogloss:0.722272                   

[28]	validation_0-merror:0.35	validation_0-mlogloss:0.725958                   

[29]	validation_0-merror:0.35	validation_0-mlogloss:0.724121                   

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.718928               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.712691               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.710173               

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.702509                    

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.703835               

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.7069                      

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.712179               

[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.708767               

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.706825                    

Stopping. Best iteration:                                                      
[33]	validation_0-merror:0.3	validation_0-mlogloss:0.702509


[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06089                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02667                     

[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.996167                

[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.971367                

[4]	validation_0-merror:0.4	validation_0-mlogloss:0.951155                     

[5]	validation_0-merror:0.4	validation_0-mlogloss:0.926232                     

[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.897982                

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.876507                

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.85753                     

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.840225                

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.823894                   

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.811623               

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.803413               

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.78826                

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.783034               

[15]	validation_0-merror:0.35	validation_0-mlogloss:0.773406                   

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.764691                   

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.756626                   

[18]	validation_0-merror:0.35	validation_0-mlogloss:0.752489                   

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.746545               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.738262               

[21]	validation_0-merror:0.35	validation_0-mlogloss:0.737295                   

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.728542               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.722141               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.719011               

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.709157               

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.705083               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.701492               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.700655               

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.700129               

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.691929               

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.690306               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.689444               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.68794                

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.685976               

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.686042               

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.687191               

[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.684497               

[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.6836                 

[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.686123               

[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.682176               

[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.684078               

[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.684001               

[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.685629               

[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.685415               

[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.683188               

Stopping. Best iteration:                                                      
[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.682176


[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06278                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02943                 

[2]	validation_0-merror:0.35	validation_0-mlogloss:0.996357                    

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.970386                

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.946875                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921129                

[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.898926                

[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.879866                

[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.868648                

[9]	validation_0-merror:0.4	validation_0-mlogloss:0.853744                     

[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.837265               

[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.825901               

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.816494                   

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.805328               

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.794744                    

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.783936                    

[16]	validation_0-merror:0.3	validation_0-mlogloss:0.778227                    

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.769724                    

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.76467                     

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.755606                    

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748838               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745346               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.739202               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.732855               

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.728711                    

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.726402               

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.71979                     

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.714358                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.70955                     

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.706329                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.697865                    

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.692939               

[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.691889               

[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.687198               

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.681722               

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.680455               

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.678147                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.67479                     

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.671578               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.671184               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.667683               

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.666447                    

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.664091                    

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.663182                    

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.664248               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.661706               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.65973                

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.660805               

[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.658903               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.65551                

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.656688               

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.653752               

[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.652614               

[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.650579               

[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.651009               

[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.649111               

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.653147               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.653424               

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.653168               

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.652064               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.651623               

Stopping. Best iteration:                                                      
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.649111


[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.0629                  

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02709                 

[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.989484                

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.966474                    

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.943708                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.918402                

[6]	validation_0-merror:0.4	validation_0-mlogloss:0.896032                     

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.877153                    

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.860326                

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.84634                 

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.832136               

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.820307                   

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.80884                

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798841               

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.789298               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.780081               

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774195               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.766972               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.761202               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.753013               

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.744511                    

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741622                    

[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.733388               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.727322               

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.723054                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.717345                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.711278                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.70527                     

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.704634                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.700995                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.694401                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.691735                    

[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.68788                

[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.680889               

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.675799               

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.674822               

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.674407               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.669592               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.665471               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.664356               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.659892               

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.657614               

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.65649                     

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.654081                    

[44]	validation_0-merror:0.3	validation_0-mlogloss:0.656162                    

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.651969               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.648832               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.650823               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.648348               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.644091               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.643899               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.64114                

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.640754               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.639159               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.63981                

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.640542               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.642294               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.64319                

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.643686               

Stopping. Best iteration:                                                      
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.639159


[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.0628                  

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02889                 

[2]	validation_0-merror:0.4	validation_0-mlogloss:0.990738                     

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967534                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.944772                    

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.919666                    

[6]	validation_0-merror:0.4	validation_0-mlogloss:0.897114                     

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.881873                

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.866482                    

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.851726                

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.84057                    

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.826902                   

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.816187                   

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.805035               

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.790576                    

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.779615                    

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.771847               

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.764556                    

[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.758957               

[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.752638               

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.744334                    

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.738906                    

[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731367               

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.723963                    

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.720131                    

[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.717153               

[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.711695               

[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.705765               

[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.70106                

[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.698156               

[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.691884               

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.688238               

[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.684531               

[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.678748               

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.675524               

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.674396               

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.673848               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.668769               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.665246               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.664257               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.659926               

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.657263               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.653307               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.652734               

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.653742               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.651995               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.651141               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.652631               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.650994               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.647578               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.648357               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.645654               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.644404               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.642321               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.643082               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.640908               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.641788               

[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.642875               

[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.643667               

[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.641344               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.640197               

[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.639035               

[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.637187               

[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.637041               

[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.637033               

[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.638455               

[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.636045               

[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.635263               

[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.635309               

[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.636739               

[70]	validation_0-merror:0.25	validation_0-mlogloss:0.63447                    

[71]	validation_0-merror:0.25	validation_0-mlogloss:0.638059                   

[72]	validation_0-merror:0.25	validation_0-mlogloss:0.637533                   

[73]	validation_0-merror:0.25	validation_0-mlogloss:0.639084                   

[74]	validation_0-merror:0.266667	validation_0-mlogloss:0.638445               

[75]	validation_0-merror:0.266667	validation_0-mlogloss:0.638645               

Stopping. Best iteration:                                                      
[70]	validation_0-merror:0.25	validation_0-mlogloss:0.63447


[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06282                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02693                 

[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.989375                

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.966322                    

[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.941902                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.916776                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894154                    

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.875384                    

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.858791                

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.84547                 

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.833347                   

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.820585                   

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.81043                    

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.799151               

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.786151               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.776197               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.768403               

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.761425                    

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.755567                    

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.746644                    

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.738218                    

[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.732731               

[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.725448               

[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.717917               

[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.713945               

[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.711159               

[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.705737               

[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.701935               

[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.697668               

[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.696506               

[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.690956               

[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.687386               

[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.683726               

[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.677347               

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.674079               

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.672879               

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.672425               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.668819               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.665252               

[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.663661               

[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.660382               

[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.657642               

[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.656523               

[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.655889               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.657982               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.65418                

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.653867               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.654897               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.65271                

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.649155               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.652099               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.649612               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.649909               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.648414               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.648769               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.648806               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.652195               

[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.65473                

[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.655574               

Stopping. Best iteration:                                                      
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.648414


[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.0628                  

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02889                 

[2]	validation_0-merror:0.4	validation_0-mlogloss:0.990932                     

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.967711                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.945025                    

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.919749                    

[6]	validation_0-merror:0.4	validation_0-mlogloss:0.897204                     

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.878357                    

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.863098                    

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.848182                

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.836997                   

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.82423                    

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.813444                   

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.802333               

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.789192                    

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.777485                    

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.769606               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.762158               

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.756898                    

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.750711               

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.742724                    

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.737282                    

[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.729876               

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.722145                    

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.718251                    

[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.715408               

[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.708488               

[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.703191               

[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.698397               

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.696229                    

[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.691626               

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.688049               

[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.68443                

[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.67825                

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.674638               

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.672579               

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.67209                

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.668138               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.66529                

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.664455               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.660374               

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.657781               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.6552                 

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.654665               

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.655502               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.653713               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.65268                

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.654337               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.652523               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.6488                 

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.648615               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.645979               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.646186               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.645436               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.646301               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.644141               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.645055               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.645719               

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.646425               

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.644124               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.642885               

[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.641759               

[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.639782               

[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.640027               

[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.640142               

[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.641675               

[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.638777               

[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.638314               

[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.638277               

[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.639553               

[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.63829                

[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.641831               

[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.641124               

[73]	validation_0-merror:0.283333	validation_0-mlogloss:0.641435               

Stopping. Best iteration:                                                      
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.638277


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06319                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0292                  

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.994159                

[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.9691                  

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.943175                    

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.921608                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.899501                

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.887371                    

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.870077                    

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.855888                    

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.84606                

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.832329                   

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.823968                   

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.810206               

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797177                   

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.783426               

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.776178                   

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.76841                

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.762475               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.757955               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.752564               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747235               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.737331               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.726311               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.720433               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.707471               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.70252                

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.69941                     

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.697203                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69667                     

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.687268                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.680262                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.676713                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.673395                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.67173                     

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.670245                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.667869                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.664594                    

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.663173               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.663716               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.662381               

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.659376               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.658552               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.655986               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.651765               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.648189               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.645419               

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.644876               

[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.647391               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.644533               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.644566               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.64154                

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.641847               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.641034               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.640018               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.640685               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.639023               

[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.638959               

[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.640835               

[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.640349               

[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.638677               

[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.636683               

[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.63478                

[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.634654               

[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.632654               

[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.631453               

[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.62957                

[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.629048               

[68]	validation_0-merror:0.25	validation_0-mlogloss:0.629153                   

[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.626739               

[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.628055               

[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.629826               

[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.628485               

[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.628663               

[74]	validation_0-merror:0.266667	validation_0-mlogloss:0.628925               

Stopping. Best iteration:                                                      
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.626739


[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06287                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02898                 

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.994119                

[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.969211                

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.943298                

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.920048                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.898165                

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.885834                    

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.868606                    

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854372                

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.84451                

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.830698               

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.822345                   

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.808516               

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.795401                   

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.782288               

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.774928                   

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.766997               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.76089                

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.756927               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.751144               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.746237               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736323               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.725305               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.72032                

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.7072                 

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.702083               

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.699007                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.696834                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.696329                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.687127                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.680047                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.676555                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.671053                    

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.669278               

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.667696                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.665738                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.661702                    

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.65892                

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.658286               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.65751                

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.654471               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.653733               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.651837               

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.649067               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.645616               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.642905               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.642067               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.644518               

[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.642449               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.64231                

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.638367               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.638564               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.638063               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.637942               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.639038               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.638897               

[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.641561               

[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.640898               

[59]	validation_0-merror:0.25	validation_0-mlogloss:0.640485                   

Stopping. Best iteration:                                                      
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.637942


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06317                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02851                 

[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.993371                

[3]	validation_0-merror:0.4	validation_0-mlogloss:0.968047                     

[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.943756                

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.920493                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.897882                

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.885849                

[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.868749                

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854794                

[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.84489                

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.830949                   

[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.820624               

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.80664                    

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.792639                   

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.778622               

[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.771335               

[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.763717               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.758338               

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.756243                   

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.751915                   

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.746457               

[22]	validation_0-merror:0.35	validation_0-mlogloss:0.736706                   

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.726179               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.718529               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.705882               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.702294               

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.699559                    

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.698538               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.693669               

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.684742                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.677952                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.675854                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.673489                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.671939                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.670974                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.667878                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.664845                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.660735                    

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.65979                     

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.658725                    

[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.655388               

[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.654519               

[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.652905               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.649669               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.646409               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.644943               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.644255               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.646768               

[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.641601               

[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.640469               

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.637368               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.637599               

[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.636612               

[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.635718               

[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.635521               

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.636144               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.637781               

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.638283               

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.638037               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.636506               

Stopping. Best iteration:                                                      
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.635521


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06319                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.0292                  

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.994164                

[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.969104                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.94318                     

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.921454                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.899529                

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.887339                    

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.869955                    

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.855697                    

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.845811               

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.832895                   

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.824537                   

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.81071                

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797626                   

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.783864               

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.776554                   

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.76869                

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.762703               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.758126               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.752653               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.747317               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.737016               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.726007               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.719878               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.706898               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.701918               

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.698807                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.696698                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.696176                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.686742                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.679708                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.676266                    

[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.672788               

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.671106               

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.669616                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.666886                    

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.663066               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.661591               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.662159               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.661222               

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.658248               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.657427               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.654987               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.651983               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.648425               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.645644               

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.645183               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.647669               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.644894               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.644902               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.641893               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.642158               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.640513               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.639508               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.640224               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.639963               

[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.642624               

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.644538               

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.644075               

Stopping. Best iteration:                                                      
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.639508


[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.0614                  

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02342                 

[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.988075                

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.963216                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.94167                     

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.920952                

[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.898701                

[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.882681                

[8]	validation_0-merror:0.4	validation_0-mlogloss:0.86708                      

[9]	validation_0-merror:0.4	validation_0-mlogloss:0.851907                     

[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.83838                

[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.825178               

[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.815429               

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.80084                    

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.790138                   

[15]	validation_0-merror:0.35	validation_0-mlogloss:0.774387                   

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.767215                   

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.757644                   

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.749441               

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.746953                   

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.744451               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.739043               

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.729765               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.722632               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.713322               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.70178                

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.698652                    

[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.698339               

[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.698068               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.69627                

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.689518               

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.682871               

[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.681739               

[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.677966               

[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.675084               

[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.674305               

[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.672868               

[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.668552               

[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.667751               

[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.665882               

[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.665351               

[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.662559               

[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.665014               

[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.665554               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.660226               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.658913               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.659105               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.65979                

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.660996               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.655386               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.655203               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.651182               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.650704               

[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.650937               

[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.650054               

[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.6492                 

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.64728                

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.649568               

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.652381               

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.653372               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.651699               

[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.652315               

Stopping. Best iteration:                                                      
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.64728


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05797                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01889                 

[2]	validation_0-merror:0.433333	validation_0-mlogloss:0.982298                

[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.955646                

[4]	validation_0-merror:0.4	validation_0-mlogloss:0.925616                     

[5]	validation_0-merror:0.4	validation_0-mlogloss:0.900146                     

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.875362                

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.858235                

[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.838418                

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.822755                    

[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.808451               

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.794114               

[12]	validation_0-merror:0.383333	validation_0-mlogloss:0.787061               

[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.776281               

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.764899                   

[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.756229               

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.748991                   

[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.743116               

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.739718                    

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.737262                   

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.729519               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.723934               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.717893               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.714755               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.712854               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.702761               

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.70186                

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.701945               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.70248                

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.70467                

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.697858               

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.69892                

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.700957               

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.694902               

[34]	validation_0-merror:0.35	validation_0-mlogloss:0.693888                   

[35]	validation_0-merror:0.366667	validation_0-mlogloss:0.696674               

[36]	validation_0-merror:0.366667	validation_0-mlogloss:0.700016               

[37]	validation_0-merror:0.35	validation_0-mlogloss:0.698783                   

[38]	validation_0-merror:0.35	validation_0-mlogloss:0.694923                   

[39]	validation_0-merror:0.35	validation_0-mlogloss:0.696223                   

Stopping. Best iteration:                                                      
[34]	validation_0-merror:0.35	validation_0-mlogloss:0.693888


[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.04782                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.3	validation_0-mlogloss:1.00506                      

[2]	validation_0-merror:0.35	validation_0-mlogloss:0.967069                    

[3]	validation_0-merror:0.3	validation_0-mlogloss:0.937235                     

[4]	validation_0-merror:0.3	validation_0-mlogloss:0.912214                     

[5]	validation_0-merror:0.283333	validation_0-mlogloss:0.893411                

[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.872332                

[7]	validation_0-merror:0.3	validation_0-mlogloss:0.852441                     

[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.837828                

[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.821287                

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.807154                    

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.789062                    

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.781635                    

[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.772378               

[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.769503               

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.761473                    

[16]	validation_0-merror:0.3	validation_0-mlogloss:0.760821                    

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.75502                     

[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.747805               

[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.743611               

[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.735248               

[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.735562               

[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.732669               

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.72935                     

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.731298               

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.727457                    

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.725986               

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.720773                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.720645                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.719562                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.721326                    

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.717831               

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.71566                     

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.711869                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.713032                    

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.71399                

[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.712748               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.709856               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.708593               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.704046               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.70396                

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.704583                    

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.704994                    

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.707809               

[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.709857               

[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.710213               

Stopping. Best iteration:                                                      
[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.70396


[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06206                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0268                  

[2]	validation_0-merror:0.4	validation_0-mlogloss:0.991325                     

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.971255                

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.951631                

[5]	validation_0-merror:0.3	validation_0-mlogloss:0.927806                     

[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.904896                

[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.886492                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.870868                

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.856459                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.838778               

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.824724               

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.812943               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.800092               

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790609               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.776722               

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.770748               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.763427               

[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.759416               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754882               

[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.748313               

[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.744809               

[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.736942               

[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.729666               

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.726356                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.71785                     

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.710848                    

[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.706303               

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.704321                    

[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.701587               

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.693198                    

[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.689338               

[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.688017               

[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.686361               

[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.683158               

[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.68218                

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.683071               

[37]	validation_0-merror:0.266667	validation_0-mlogloss:0.679532               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.677626               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.678681               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.674951               

[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.671078               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.66966                

[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.665429               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.666722               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.66297                

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.660574               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.661555               

[48]	validation_0-merror:0.25	validation_0-mlogloss:0.659502                   

[49]	validation_0-merror:0.25	validation_0-mlogloss:0.654126                   

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.655979               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.653294               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.651878               

[53]	validation_0-merror:0.25	validation_0-mlogloss:0.649586                   

[54]	validation_0-merror:0.25	validation_0-mlogloss:0.650665                   

[55]	validation_0-merror:0.25	validation_0-mlogloss:0.648961                   

[56]	validation_0-merror:0.25	validation_0-mlogloss:0.649834                   

[57]	validation_0-merror:0.25	validation_0-mlogloss:0.652986                   

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.654526               

[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.653105               

[60]	validation_0-merror:0.25	validation_0-mlogloss:0.653155                   

Stopping. Best iteration:                                                      
[55]	validation_0-merror:0.25	validation_0-mlogloss:0.648961


[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05593                      

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01501                     

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.979284                

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.953151                

[4]	validation_0-merror:0.4	validation_0-mlogloss:0.923251                     

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.894994                    

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.869434                    

[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.851838                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.830615                

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.812884                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.801184               

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.786509                    

[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.773342               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.7566                 

[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.747585               

[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.738278               

[16]	validation_0-merror:0.3	validation_0-mlogloss:0.730756                    

[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.726381               

[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.7255                 

[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.721862               

[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.720841               

[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.7155                 

[22]	validation_0-merror:0.266667	validation_0-mlogloss:0.709375               

[23]	validation_0-merror:0.266667	validation_0-mlogloss:0.707227               

[24]	validation_0-merror:0.266667	validation_0-mlogloss:0.699349               

[25]	validation_0-merror:0.266667	validation_0-mlogloss:0.688624               

[26]	validation_0-merror:0.266667	validation_0-mlogloss:0.687611               

[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.684331               

[28]	validation_0-merror:0.266667	validation_0-mlogloss:0.68752                

[29]	validation_0-merror:0.266667	validation_0-mlogloss:0.69119                

[30]	validation_0-merror:0.266667	validation_0-mlogloss:0.685328               

[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.684142               

[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.685423               

[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.682953               

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.681833                    

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.680465               

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.684007               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.681499               

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.680273                    

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.684394                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.68968                     

[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.688982               

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.692663                    

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.696955                    

Stopping. Best iteration:                                                      
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.680273


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06114                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02342                     

[2]	validation_0-merror:0.35	validation_0-mlogloss:0.993769                    

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.965808                

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.944057                

[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.921282                

[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.903337                

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.87869                 

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.863648                    

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.846386                

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.831126               

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.816596               

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.805195                    

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.7969                      

[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.786972               

[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.785146               

[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.776099               

[17]	validation_0-merror:0.266667	validation_0-mlogloss:0.770427               

[18]	validation_0-merror:0.266667	validation_0-mlogloss:0.770074               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.765941               

[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.766242               

[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.75994                

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.754647                    

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.749219               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.744309               

[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.744421               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741568               

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.738921                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.735829                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.73299                     

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.728427                    

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.725882               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.726511               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.72528                

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.726353               

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.729424               

[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.73011                

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.726952                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.727132                    

Stopping. Best iteration:                                                      
[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.72528


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06041                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.0181                  

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.985203                

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.955917                

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.931275                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908875                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.890668                    

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.872473                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.855991                

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.844623                

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.83228                

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.819076                   

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.810771                   

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.802234                   

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.792871               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.779851               

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.774856                   

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767242               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.75846                

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.753479                    

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.745633                    

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.742731                    

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.737405                    

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.737537               

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.732533               

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.730241               

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.721846               

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.716545                    

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.713423               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.711662               

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.706388                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.704441                    

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.699861               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.693788               

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.690183               

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.688876               

[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.686138               

[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.684176               

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.683001                    

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.681762               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.678066               

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.675712               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.676337               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.673195               

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.671041               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.667091               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.665553               

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.666851               

[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.665598               

[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.665426               

[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.664857               

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.660608               

[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.660912               

[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.662728               

[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.6616                 

[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.66189                

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.662026               

Stopping. Best iteration:                                                      
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.660608


[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05724                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0206                  

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985608                

[3]	validation_0-merror:0.3	validation_0-mlogloss:0.957409                     

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.934061                    

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.914333                

[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.888814                

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.864942                

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.844901                

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.829415                

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.814752                    

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807096               

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.797598               

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.789074               

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.777275                   

[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.769626               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.764562               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.752126               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.74614                

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.745826                   

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.739447                   

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.7346                 

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.727413               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.723486               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.713839               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.703798               

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.702726               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.703841               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.701032               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.700864               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.695082               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.692455               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.691845               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.687589               

[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.686265               

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.685045               

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.687786               

[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.685425               

[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.683931               

[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.685896               

[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.68216                

[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.682302               

[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.683016               

[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.679539               

[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.683183               

[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.680256               

[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.679252               

[47]	validation_0-merror:0.333333	validation_0-mlogloss:0.678758               

[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.677382               

[49]	validation_0-merror:0.3	validation_0-mlogloss:0.676107                    

[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.678354               

[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.678001               

[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.678742               

[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.683123               

[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.686465               

Stopping. Best iteration:                                                      
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.676107


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05957                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02026                 

[2]	validation_0-merror:0.4	validation_0-mlogloss:0.985117                     

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.957496                

[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.932352                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.905675                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.879318                    

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.865191                    

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.845178                    

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829051                    

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.809431                   

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.799851                   

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.791033                   

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.784977               

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.777365               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.766189               

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.762468               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.754256               

[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.752603               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.750191               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748803               

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.748818                    

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.738333               

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.734109                    

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.727457                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.730163                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.728969                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.729461                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.729181                    

[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.724066               

[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.722075               

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.723077               

[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.720866               

[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.718151               

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.723282                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.724174                    

[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.731319               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.729252               

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.730868                    

Stopping. Best iteration:                                                      
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.718151


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06147                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02381                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985821                

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.96004                 

[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.937849                

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.917916                    

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.899479                

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.883746                

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.86617                 

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.851258                

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.839557               

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.825446                    

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.813751               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.803864               

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.794729               

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.781137                    

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.778473               

[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.772542               

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.763991                    

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.755532                    

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.747163               

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.743107                    

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.73732                     

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.731766                    

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.730001                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.728259                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.723033                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.71703                     

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.715427                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.713184                    

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.711286               

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.708168                    

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.706686               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.702253               

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.699393               

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.698431                    

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.696179               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.692689               

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.690331                    

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.686672                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.682739                    

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.680019               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.677561               

[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.675687               

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.673994               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.673198               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.67383                

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.67348                

[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.672294               

[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.669768               

[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.671063               

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.668395               

[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.667866               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.668005               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.665746               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.665312               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.668237               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.668195               

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.670197               

[59]	validation_0-merror:0.3	validation_0-mlogloss:0.670231                    

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.671733               

Stopping. Best iteration:                                                      
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.665312


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05907                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02036                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.98606                 

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.960156                

[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.932052                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.908509                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.885199                

[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.871591                

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.852705                    

[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.834638                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.823195               

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.809687               

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.799983                    

[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.786586               

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.779438                    

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.770038                    

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.766664               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.766242               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.764496               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.765568               

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.760417                    

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.755647                    

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.74855                     

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748068               

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.744103                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.738271                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.736709                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.739713                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.7412                      

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.738597                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.739741                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.736503                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.73356                     

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.734378                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.733518                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.734221                    

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.737879               

[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.737406               

[38]	validation_0-merror:0.35	validation_0-mlogloss:0.735704                   

[39]	validation_0-merror:0.35	validation_0-mlogloss:0.735047                   

Stopping. Best iteration:                                                      
[34]	validation_0-merror:0.3	validation_0-mlogloss:0.733518


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05637                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.433333	validation_0-mlogloss:1.01671                 

[2]	validation_0-merror:0.4	validation_0-mlogloss:0.979983                     

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.952594                

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.922676                

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.904987                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.87731                 

[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.860054                

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.840233                    

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.825969                

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.813216               

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.804413               

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.791319                   

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.778832               

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.773979               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.769334               

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.764941                   

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.764592               

[18]	validation_0-merror:0.35	validation_0-mlogloss:0.762126                   

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.755941               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.752205               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.753896               

[22]	validation_0-merror:0.35	validation_0-mlogloss:0.751239                   

[23]	validation_0-merror:0.35	validation_0-mlogloss:0.753613                   

[24]	validation_0-merror:0.35	validation_0-mlogloss:0.75564                    

[25]	validation_0-merror:0.35	validation_0-mlogloss:0.752872                   

[26]	validation_0-merror:0.35	validation_0-mlogloss:0.745888                   

[27]	validation_0-merror:0.35	validation_0-mlogloss:0.742108                   

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.743642               

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.740623               

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.739514               

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.73698                

[32]	validation_0-merror:0.35	validation_0-mlogloss:0.738537                   

[33]	validation_0-merror:0.35	validation_0-mlogloss:0.738226                   

[34]	validation_0-merror:0.35	validation_0-mlogloss:0.741112                   

[35]	validation_0-merror:0.35	validation_0-mlogloss:0.745042                   

[36]	validation_0-merror:0.35	validation_0-mlogloss:0.755663                   

Stopping. Best iteration:                                                      
[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.73698


[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06343                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02384                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.985643                

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.959281                

[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.935035                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.911628                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.889779                

[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.871561                

[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.854095                

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.839361                    

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.825595                   

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.812751               

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.804048               

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.791571                   

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.778137               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.769363               

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.763694               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.758002               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.752117               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.743577               

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.737738                    

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.732473                    

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.725826                    

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.718742               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.715786               

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.713411                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.708157                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.704056                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699939                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.694963                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.688693                    

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.685221               

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.683538                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.680465                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.678119                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.67795                     

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.675822                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.672229                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.668167                    

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.666846                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.662903                    

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.659684               

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.655523                    

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.654186               

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.651773               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.648164               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.646203               

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.646017               

[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.644159               

[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.641774               

[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.643695               

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.641242               

[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.640432               

[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.639794               

[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.638193               

[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.63816                

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.639324               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.640184               

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.641073               

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.642059               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.63827                

Stopping. Best iteration:                                                      
[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.63816


[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.06052                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02021                 

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.983957                

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.956839                

[4]	validation_0-merror:0.4	validation_0-mlogloss:0.929951                     

[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.909274                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.887539                

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.87223                 

[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.85556                 

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.846881                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.828592               

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.812539                    

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.802025                    

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.796452                    

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.793224                    

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.78263                     

[16]	validation_0-merror:0.3	validation_0-mlogloss:0.779485                    

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.776429                    

[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.769465               

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.766835                    

[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.764387               

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.764685                    

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.757397                    

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.748935                    

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.745404                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.746825                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.749646                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.7503                      

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.747363                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.744962                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.746052                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.745843                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.746585                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.752962                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.757125                    

Stopping. Best iteration:                                                      
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.744962


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.0573                  

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02146                 

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.989512                

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.962948                    

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.938964                

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.91968                 

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.891946                

[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.869498                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.84944                 

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.832748                

[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.820362               

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.811307               

[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.802537               

[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.793147               

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.783183               

[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.778879               

[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.770081               

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.760568                   

[18]	validation_0-merror:0.35	validation_0-mlogloss:0.752537                   

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.753152                   

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.747804                   

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.746203               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.737697               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.734481               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.72496                

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.713896                    

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.713557               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.714398               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.713326               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.712812               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.708725               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.708166               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.709113               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.709009               

[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.709818               

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.709053               

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.71237                

Stopping. Best iteration:                                                      
[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.708166


[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05951                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02229                 

[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.987967                

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.965894                

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.941098                

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.918909                

[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.900136                

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.883264                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.867547                

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.856387                    

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.844827                   

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.83384                    

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.824621               

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.815785               

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.804242               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.792862               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.789803               

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.779509                   

[18]	validation_0-merror:0.35	validation_0-mlogloss:0.772183                   

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.767519               

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.758984                   

[21]	validation_0-merror:0.35	validation_0-mlogloss:0.753827                   

[22]	validation_0-merror:0.35	validation_0-mlogloss:0.747974                   

[23]	validation_0-merror:0.35	validation_0-mlogloss:0.744722                   

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.739365               

[25]	validation_0-merror:0.35	validation_0-mlogloss:0.734597                   

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.72808                

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.723352               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.720016               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.715384               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.712986               

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.709077               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.704039               

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.698012                    

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.695177               

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.695286                    

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.691284               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.690742               

[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.686468               

[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.683624               

[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.679742               

[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.679589               

[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.679716               

[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.676823               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.674738               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.67276                

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.671935               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.672838               

[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.67304                

[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.671586               

[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.669216               

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.666481               

[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.664042               

[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.666822               

[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.666824               

[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.666277               

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.665517               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.664294               

Stopping. Best iteration:                                                      
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.664042


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05654                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01498                 

[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.982685                

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.958379                

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.93738                 

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.913911                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.889546                    

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.872179                    

[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.856879                

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.842039                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.830104               

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.81183                

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.802719                   

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.788821                   

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.777976               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.773772               

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.767969                   

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.763148                   

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.764075               

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.764505                   

[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.761379               

[21]	validation_0-merror:0.383333	validation_0-mlogloss:0.757006               

[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.752956               

[23]	validation_0-merror:0.383333	validation_0-mlogloss:0.747382               

[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.742011               

[25]	validation_0-merror:0.366667	validation_0-mlogloss:0.736319               

[26]	validation_0-merror:0.35	validation_0-mlogloss:0.734491                   

[27]	validation_0-merror:0.366667	validation_0-mlogloss:0.737889               

[28]	validation_0-merror:0.35	validation_0-mlogloss:0.741442                   

[29]	validation_0-merror:0.35	validation_0-mlogloss:0.739055                   

[30]	validation_0-merror:0.35	validation_0-mlogloss:0.737863                   

[31]	validation_0-merror:0.35	validation_0-mlogloss:0.734951                   

Stopping. Best iteration:                                                      
[26]	validation_0-merror:0.35	validation_0-mlogloss:0.734491


[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05763                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01834                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.982                   

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.958771                    

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.931882                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.906824                

[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.880756                

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.861477                

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.842277                

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.824571                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.811741               

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.798376                    

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.790561                    

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.778433               

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.775569               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.76733                

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.758001               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.750675               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.746967               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.746921               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.74221                

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.735557               

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.729284                    

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.724188                    

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.719161                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.707431                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.706448                    

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.702952               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.707083               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.709892               

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.70461                     

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.700288                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700037                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.696557                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.698882                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.698787                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.696639                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.694949                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.690885                    

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.691168                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.692035                    

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.693451               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.692757               

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.695773                    

Stopping. Best iteration:                                                      
[38]	validation_0-merror:0.3	validation_0-mlogloss:0.690885


[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.061                   

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02379                 

[2]	validation_0-merror:0.283333	validation_0-mlogloss:0.989102                

[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.959499                

[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.926929                

[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.908632                

[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.886173                

[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.866169                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.847714                

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.830911                

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.81293                    

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.799654                   

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.790875                   

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.780984                   

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.770162               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.761142               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.754349               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.750466               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.751404               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.753464               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.749895               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.749222               

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.747488               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.748029               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.744161               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.740245               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.74118                

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.743148               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.744343               

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.739073               

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.736995               

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.735075               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.731036               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.728833               

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.727833               

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.730422               

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.734037               

[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.730968               

[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.730241               

[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.730292               

Stopping. Best iteration:                                                      
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.727833


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.05845                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01888                 

[2]	validation_0-merror:0.4	validation_0-mlogloss:0.984297                     

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.961506                

[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.938094                

[5]	validation_0-merror:0.4	validation_0-mlogloss:0.920369                     

[6]	validation_0-merror:0.4	validation_0-mlogloss:0.896821                     

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.879649                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.863907                

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.848753                

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.830354               

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812841               

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.805133                   

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.793053               

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.789787               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.780385               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.771692               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767412               

[18]	validation_0-merror:0.35	validation_0-mlogloss:0.76859                    

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.759941                   

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.758487                   

[21]	validation_0-merror:0.35	validation_0-mlogloss:0.758034                   

[22]	validation_0-merror:0.35	validation_0-mlogloss:0.75269                    

[23]	validation_0-merror:0.35	validation_0-mlogloss:0.750498                   

[24]	validation_0-merror:0.35	validation_0-mlogloss:0.749054                   

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.745891               

[26]	validation_0-merror:0.35	validation_0-mlogloss:0.740057                   

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.739173               

[28]	validation_0-merror:0.35	validation_0-mlogloss:0.73722                    

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.735655               

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.735788               

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.729657               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.728162               

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.728215               

[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.730732               

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.733354               

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.738701               

[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.734618               

Stopping. Best iteration:                                                      
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.728162


[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05564                      

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.3	validation_0-mlogloss:1.01243                      

[2]	validation_0-merror:0.3	validation_0-mlogloss:0.973913                     

[3]	validation_0-merror:0.3	validation_0-mlogloss:0.94391                      

[4]	validation_0-merror:0.266667	validation_0-mlogloss:0.915896                

[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.89427                 

[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.870213                

[7]	validation_0-merror:0.3	validation_0-mlogloss:0.854624                     

[8]	validation_0-merror:0.3	validation_0-mlogloss:0.836214                     

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.821737                

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.809223                    

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.796851                    

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.791084                    

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.785519                    

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.778912                    

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.768957                    

[16]	validation_0-merror:0.3	validation_0-mlogloss:0.762529                    

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.754751                    

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.749413                    

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.744325                    

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.738924                    

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.734513                    

[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.728592               

[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.726155               

[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.721667               

[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.719682               

[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.715974               

[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.712422               

[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.714209               

[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.709424               

[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.706857               

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.70695                     

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.702606                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.70081                     

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.70208                     

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.698684                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.700639                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.698443                    

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.698239               

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.699689                    

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.702241               

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.702342                    

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.700405                    

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.703959                    

Stopping. Best iteration:                                                      
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.698239


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06184                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02784                 

[2]	validation_0-merror:0.3	validation_0-mlogloss:0.991989                     

[3]	validation_0-merror:0.266667	validation_0-mlogloss:0.967298                

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.944491                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.9237                  

[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.901605                

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.882896                    

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.86534                 

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.851175                

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.833898               

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.822069               

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.813203               

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.800638               

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790794               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.782463               

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.774914                   

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.770823                   

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.762248               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.752605               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.745871               

[21]	validation_0-merror:0.35	validation_0-mlogloss:0.73939                    

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.734826                    

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.726991               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.720289               

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.711275                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.707465                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.704274                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.705149                    

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.703649               

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.693817                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.689599                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.68598                     

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.679287                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.673691                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.67269                     

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.672414                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.669779                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.668328                    

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.667038                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.663485                    

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.661094                    

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.659911                    

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.658215                    

[44]	validation_0-merror:0.3	validation_0-mlogloss:0.65493                     

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.650686               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.651438               

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.65351                

[48]	validation_0-merror:0.3	validation_0-mlogloss:0.650916                    

[49]	validation_0-merror:0.3	validation_0-mlogloss:0.647425                    

[50]	validation_0-merror:0.3	validation_0-mlogloss:0.646925                    

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.642954               

[52]	validation_0-merror:0.3	validation_0-mlogloss:0.642015                    

[53]	validation_0-merror:0.3	validation_0-mlogloss:0.640419                    

[54]	validation_0-merror:0.3	validation_0-mlogloss:0.639098                    

[55]	validation_0-merror:0.3	validation_0-mlogloss:0.63845                     

[56]	validation_0-merror:0.3	validation_0-mlogloss:0.639417                    

[57]	validation_0-merror:0.3	validation_0-mlogloss:0.638625                    

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.639885               

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.63895                

[60]	validation_0-merror:0.3	validation_0-mlogloss:0.638944                    

Stopping. Best iteration:                                                      
[55]	validation_0-merror:0.3	validation_0-mlogloss:0.63845


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06203                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02458                 

[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.991755                

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.965551                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.944297                    

[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.923489                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.894304                    

[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.881391                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.85861                 

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.840333                

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.827255                    

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.811106                    

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.801852               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.790945               

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.781368               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.772401               

[16]	validation_0-merror:0.3	validation_0-mlogloss:0.762368                    

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.756422               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.754524               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.757414               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.750421               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745615               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.738814               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.732654               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.730099               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.724548               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.719375               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.719774               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.719349               

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.715378               

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.710512               

[31]	validation_0-merror:0.35	validation_0-mlogloss:0.708592                   

[32]	validation_0-merror:0.35	validation_0-mlogloss:0.708969                   

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.705404               

[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.70425                

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.703944               

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.705572               

[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.70467                

[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.703325               

[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.703194               

[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.70052                

[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.700367               

[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.702704               

[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.702695               

[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.698077               

[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.696438               

[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.697658               

[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.699189               

[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.701977               

[49]	validation_0-merror:0.333333	validation_0-mlogloss:0.698892               

[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.700892               

Stopping. Best iteration:                                                      
[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.696438


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06107                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02663                      

[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990684                    

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969673                    

[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.946078                

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925178                    

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.900885                    

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.882479                    

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.866913                

[9]	validation_0-merror:0.3	validation_0-mlogloss:0.851459                     

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.836553                    

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.825427               

[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.812938               

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.80452                     

[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.79337                

[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.783499               

[16]	validation_0-merror:0.3	validation_0-mlogloss:0.78109                     

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.774196                    

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.768898                    

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.761007                    

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.756586               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.753405               

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.747506                    

[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.739855               

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.738305                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.734925                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.729688                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.722924                    

[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.721705               

[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.721142               

[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.714362               

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.710894               

[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.708126               

[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.706781               

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.706912               

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.706183               

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.704784               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.700477               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.696583               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.695614               

[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.691341               

[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.690802               

[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.68887                

[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.687027               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.686407               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.685531               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.684837               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.686975               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.684337               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.683088               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.681087               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.680437               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.681488               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.681387               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.680376               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.67868                

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.678718               

[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.679343               

[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.68076                

[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.680115               

[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.680389               

Stopping. Best iteration:                                                      
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.67868


[0]	validation_0-merror:0.4	validation_0-mlogloss:1.051                        

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.00964                 

[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.981027                

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.948668                

[4]	validation_0-merror:0.4	validation_0-mlogloss:0.923981                     

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.90411                     

[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.881673                

[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.858269                

[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.840345                

[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.826216                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.813206               

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.798916               

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.790875               

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.781878                   

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.778091                   

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.769124               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.769063               

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.76774                    

[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.765647               

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.765217                   

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.759853                   

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.757706               

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.751253               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.746544               

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.749577               

[25]	validation_0-merror:0.35	validation_0-mlogloss:0.749768                   

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.753675               

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.754284               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.753221               

Stopping. Best iteration:                                                      
[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.746544


[0]	validation_0-merror:0.35	validation_0-mlogloss:1.04855                     

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.35	validation_0-mlogloss:1.0048                      

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.970514                

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.945384                

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.920287                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.896999                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.874487                    

[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.861777                

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.8498                  

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.833318                

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.823943                    

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.814118                    

[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.810034               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.80634                

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.804468               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.794452               

[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.78636                

[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.778476               

[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.774815               

[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.774544               

[20]	validation_0-merror:0.366667	validation_0-mlogloss:0.76782                

[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.769966               

[22]	validation_0-merror:0.366667	validation_0-mlogloss:0.765201               

[23]	validation_0-merror:0.366667	validation_0-mlogloss:0.761468               

[24]	validation_0-merror:0.366667	validation_0-mlogloss:0.758466               

[25]	validation_0-merror:0.35	validation_0-mlogloss:0.754601                   

[26]	validation_0-merror:0.35	validation_0-mlogloss:0.753991                   

[27]	validation_0-merror:0.35	validation_0-mlogloss:0.748869                   

[28]	validation_0-merror:0.35	validation_0-mlogloss:0.752027                   

[29]	validation_0-merror:0.35	validation_0-mlogloss:0.754599                   

[30]	validation_0-merror:0.35	validation_0-mlogloss:0.759829                   

[31]	validation_0-merror:0.35	validation_0-mlogloss:0.75645                    

[32]	validation_0-merror:0.35	validation_0-mlogloss:0.758091                   

Stopping. Best iteration:                                                      
[27]	validation_0-merror:0.35	validation_0-mlogloss:0.748869


[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05917                      

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01854                 

[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.989238                

[3]	validation_0-merror:0.4	validation_0-mlogloss:0.960976                     

[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.938922                

[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.914301                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.890473                    

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.866444                    

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.847559                    

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.838924                    

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.824459                   

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.811322                   

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.801825                   

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.789189                   

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.782527                   

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.776388               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.771464               

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.765858                   

[18]	validation_0-merror:0.35	validation_0-mlogloss:0.762544                   

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.763511                   

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.757383                   

[21]	validation_0-merror:0.35	validation_0-mlogloss:0.758993                   

[22]	validation_0-merror:0.35	validation_0-mlogloss:0.756183                   

[23]	validation_0-merror:0.35	validation_0-mlogloss:0.754612                   

[24]	validation_0-merror:0.35	validation_0-mlogloss:0.75239                    

[25]	validation_0-merror:0.35	validation_0-mlogloss:0.747737                   

[26]	validation_0-merror:0.35	validation_0-mlogloss:0.747961                   

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.742728               

[28]	validation_0-merror:0.35	validation_0-mlogloss:0.744353                   

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.7382                 

[30]	validation_0-merror:0.35	validation_0-mlogloss:0.742933                   

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.741922               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.736672               

[33]	validation_0-merror:0.35	validation_0-mlogloss:0.741866                   

[34]	validation_0-merror:0.35	validation_0-mlogloss:0.741708                   

[35]	validation_0-merror:0.35	validation_0-mlogloss:0.743446                   

[36]	validation_0-merror:0.35	validation_0-mlogloss:0.746546                   

[37]	validation_0-merror:0.35	validation_0-mlogloss:0.742778                   

Stopping. Best iteration:                                                      
[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.736672


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06176                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02895                      

[2]	validation_0-merror:0.4	validation_0-mlogloss:0.99964                      

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.970785                

[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.94723                 

[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.925481                

[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.905058                

[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.88691                 

[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.869918                

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.857201                

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.842925                   

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.831206                   

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.827626                   

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.818887               

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.811267               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.798796               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.79004                

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.782445               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.774999               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.767887               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.759331               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.754256               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.748619               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.748286               

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.744263                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.741396                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.736713                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.733128                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.729362                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.724063                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.716574                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.714437                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.709336                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.706038                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.703171                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.701146                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.696197                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.692495                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.690506                    

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.689428                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.686961                    

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.684797                    

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.686734               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.683956               

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.684823               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.681006               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.680218               

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.682151               

[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.681177               

[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.67926                

[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.679525               

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.67885                

[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.677931               

[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.679584               

[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.679346               

[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.678122               

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.676854               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.675187               

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.673023               

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.673918               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.674999               

[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.673857               

[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.672542               

[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.673732               

[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.674246               

[65]	validation_0-merror:0.3	validation_0-mlogloss:0.675046                    

[66]	validation_0-merror:0.3	validation_0-mlogloss:0.675163                    

[67]	validation_0-merror:0.3	validation_0-mlogloss:0.675532                    

Stopping. Best iteration:                                                      
[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.672542


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06046                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02484                 

[2]	validation_0-merror:0.3	validation_0-mlogloss:0.997783                     

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.974448                    

[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.95062                 

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.922725                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.896501                    

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.87346                 

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.853268                

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.836906                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.821478               

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.812434               

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.806885               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.794621               

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.785599               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.779859               

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.773316               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.762264               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.759493               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.755337               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.753125               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.755527               

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.745501               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.741471               

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.736369               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.724118               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.722177               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.72437                

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.724708               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.72426                

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.719887               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.720725               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.719348               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.717575               

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.716779               

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.713704               

[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.716288               

[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.71363                

[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.7147                 

[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.717828               

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.717762                    

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.718106                    

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.723119                    

Stopping. Best iteration:                                                      
[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.71363


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.0623                  

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02758                 

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.997696                

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976374                    

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.954761                

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.930088                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.907913                    

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.893572                    

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.876303                

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.861628                

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.847562               

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.832038               

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.822053                    

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.809749                    

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.796062                    

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.783798                    

[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775887                    

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.767968                    

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.76186                     

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.755367                    

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.747893                    

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741631                    

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.732091                    

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.721343                    

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.715531                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.705141                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70256                     

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.699858                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699242                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69522                     

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.688759                    

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.684569               

[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.684399               

[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.68032                

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.67783                

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.676854               

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.676476                    

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.672422               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.671519               

[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.671072               

[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.669496               

[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.666265               

[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.660851               

[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.656861               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.651981               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.647741               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.647779               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.646361               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.646174               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.641243               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.641293               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.639008               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.638498               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.638152               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.638958               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.638329               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.635721               

[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.636025               

[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.637975               

[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.637099               

[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.634249               

[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.632616               

[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.632989               

[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.633265               

[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.629943               

[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.629353               

[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.625938               

[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.625421               

[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.626359               

[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.6275                 

[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.630734               

[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.632735               

[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.632444               

Stopping. Best iteration:                                                      
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.625421


[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06194                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.03174                 

[2]	validation_0-merror:0.35	validation_0-mlogloss:0.995841                    

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.970197                    

[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.949835                

[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.927333                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.905433                    

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.891226                    

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.874577                    

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.859551                

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.843271                   

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.827822                   

[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.817788               

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.807484                   

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.799013               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.785916               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.77906                

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.769659               

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.763433                    

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.758938               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.752928               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.747003               

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.73767                     

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.731861                    

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.722013                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.711228                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.709249                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.706658                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.708756                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.706149                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.698793                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.694843                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.693742                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.689364                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.687368                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.686904                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.687359                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.683579                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.683071                    

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.682796               

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.681328                    

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.678118               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.678939               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.676071               

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.671642               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.667805               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.668176               

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.668745               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.667059               

[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.662018               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.66305                

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.659604               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.660239               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.659565               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.658789               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.658421               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.659137               

[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.661112               

[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.663539               

[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.662198               

[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.660786               

Stopping. Best iteration:                                                      
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.658421


[0]	validation_0-merror:0.4	validation_0-mlogloss:1.055                        

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.0146                  

[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.98125                 

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.955789                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.934845                    

[5]	validation_0-merror:0.4	validation_0-mlogloss:0.913866                     

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.890466                    

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.876286                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.85553                 

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.838965                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.823948               

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.809329               

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.8004                     

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.790483               

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.780655               

[15]	validation_0-merror:0.35	validation_0-mlogloss:0.772424                   

[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.765064               

[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.758195               

[18]	validation_0-merror:0.35	validation_0-mlogloss:0.755835                   

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.753365               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.75189                

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.746216               

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.738585               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.731381               

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.730419               

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.720452               

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.717287               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.719561               

[28]	validation_0-merror:0.35	validation_0-mlogloss:0.718287                   

[29]	validation_0-merror:0.35	validation_0-mlogloss:0.720283                   

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.71396                

[31]	validation_0-merror:0.35	validation_0-mlogloss:0.711054                   

[32]	validation_0-merror:0.35	validation_0-mlogloss:0.70934                    

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.703174               

[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.700341               

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.700144               

[36]	validation_0-merror:0.35	validation_0-mlogloss:0.695997                   

[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.694981               

[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.694395               

[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.696774               

[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.697165               

[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.695016               

[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.696926               

[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.69548                

Stopping. Best iteration:                                                      
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.694395


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.0599                  

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01632                 

[2]	validation_0-merror:0.35	validation_0-mlogloss:0.983077                    

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.953939                

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.930095                

[5]	validation_0-merror:0.3	validation_0-mlogloss:0.903799                     

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.875795                    

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.857833                    

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.84142                 

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.826658                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.810713               

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.799341               

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.789881               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.785299               

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.778417               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.770481               

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.763414               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.757759               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.754887               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.752434               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.750401               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.754005               

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.745061                    

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.744414                    

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.742449                    

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.74292                

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.741599               

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.741349               

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.74479                     

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.742014               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.74343                

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.744536               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.742227               

Stopping. Best iteration:                                                      
[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.741349


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06019                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02332                      

[2]	validation_0-merror:0.35	validation_0-mlogloss:0.989031                    

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.96455                     

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.943401                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.921589                

[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.901047                

[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.881819                

[8]	validation_0-merror:0.3	validation_0-mlogloss:0.865745                     

[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.849831                

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.834127                    

[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.821026               

[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.806851               

[13]	validation_0-merror:0.283333	validation_0-mlogloss:0.792985               

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.78877                     

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.776267                    

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.770494               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.76243                

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.756653                    

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.751885                    

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.741777               

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.73615                     

[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.72796                

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.723304                    

[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.714684               

[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.70816                

[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.703354               

[27]	validation_0-merror:0.266667	validation_0-mlogloss:0.699331               

[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.70163                

[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.699226               

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.692889                    

[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.690624               

[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.685982               

[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.681694               

[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.676637               

[35]	validation_0-merror:0.266667	validation_0-mlogloss:0.677247               

[36]	validation_0-merror:0.266667	validation_0-mlogloss:0.676423               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.67155                

[38]	validation_0-merror:0.266667	validation_0-mlogloss:0.669931               

[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.667779               

[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.66374                

[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.661626               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.663882               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.659784               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.661936               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.659231               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.658847               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.660922               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.660621               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.655568               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.657234               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.657002               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.656334               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.655572               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.654654               

[55]	validation_0-merror:0.25	validation_0-mlogloss:0.653362                   

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.652467               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.655701               

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.657096               

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.656603               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.655788               

[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.654857               

Stopping. Best iteration:                                                      
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.652467


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06296                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.35	validation_0-mlogloss:1.03108                     

[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.996635                

[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.971845                

[4]	validation_0-merror:0.3	validation_0-mlogloss:0.950777                     

[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.923737                

[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.897786                

[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.878437                

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.861423                

[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.846201                

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.832918                    

[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.822885               

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.81362                     

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801191               

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.790825               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781036               

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.769785                   

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.759072               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.75488                

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.749527               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746117               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.74048                

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.731618               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.720287               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.714628               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.701767               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.696981               

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.693544               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.690139               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.69099                

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.679165               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.672604               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.670194               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.66766                

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.668078               

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.666809               

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.662198                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.65834                     

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.658014                    

[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.658203               

[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.656351               

[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.655053               

[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.654242               

[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.651208               

[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.651866               

[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.64821                

[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.64902                

[47]	validation_0-merror:0.3	validation_0-mlogloss:0.647459                    

[48]	validation_0-merror:0.3	validation_0-mlogloss:0.64731                     

[49]	validation_0-merror:0.3	validation_0-mlogloss:0.646046                    

[50]	validation_0-merror:0.3	validation_0-mlogloss:0.647712                    

[51]	validation_0-merror:0.3	validation_0-mlogloss:0.64757                     

[52]	validation_0-merror:0.3	validation_0-mlogloss:0.651485                    

[53]	validation_0-merror:0.3	validation_0-mlogloss:0.651303                    

[54]	validation_0-merror:0.3	validation_0-mlogloss:0.650223                    

Stopping. Best iteration:                                                      
[49]	validation_0-merror:0.3	validation_0-mlogloss:0.646046


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06319                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02787                 

[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.992924                

[3]	validation_0-merror:0.4	validation_0-mlogloss:0.967761                     

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.941935                    

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.920917                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.898751                

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.886742                

[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.869587                

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.855543                

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.845807                   

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.831946                   

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.821729               

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.807994                   

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.796097                   

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.782484               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.775138               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767468               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.761776               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.756503               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.751153               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.744734               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.73487                

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.723983                    

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.718219               

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.705731                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.702201                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.698992                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.698844                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.695853                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.686574                    

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.679859               

[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.676231               

[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.675208               

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.673521               

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.672269               

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.670041               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.665716               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.662849               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.662303               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.66135                

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.658123               

[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.657213               

[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.655012               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.652445               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.648787               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.647175               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.646742               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.649195               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.644321               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.644272               

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.641253               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.644795               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.642986               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.641688               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.642352               

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.641171               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.641836               

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.642469               

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.642214               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.64047                

[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.641879               

[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.64097                

[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.641334               

[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.639703               

[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.641772               

[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.640511               

[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.641054               

[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.641368               

[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.638883               

[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.638096               

[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.639155               

[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.639343               

[73]	validation_0-merror:0.283333	validation_0-mlogloss:0.639642               

[74]	validation_0-merror:0.283333	validation_0-mlogloss:0.642685               

[75]	validation_0-merror:0.283333	validation_0-mlogloss:0.641584               

Stopping. Best iteration:                                                      
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.638096


[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06326                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02863                      

[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.993497                

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.972166                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.952354                    

[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.930497                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.908782                    

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.896456                    

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.877942                    

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.863691                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.849019               

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.833121               

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.823115               

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.808915               

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.795763               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.780259               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.772778               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.765671               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.758889               

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.754556                   

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.747571               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.741698               

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.731767                    

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.721619                    

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.715053                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.703804                    

[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.700192               

[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.697678               

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.696612                    

[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.69193                

[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.685196               

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.680558                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.678225                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.675965                    

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.672639               

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.671638                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.669694                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.665944                    

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.663009               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.66344                

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.661905               

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.657676               

[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.655831               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.653861               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.650302               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.647244               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.646271               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.645655               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.646636               

[49]	validation_0-merror:0.25	validation_0-mlogloss:0.641221                   

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.640247               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.637011               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.638149               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.637731               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.638987               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.63906                

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.639951               

Stopping. Best iteration:                                                      
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.637011


[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.06297                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02933                 

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.99445                 

[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.96961                 

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.943717                

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.919276                    

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.897613                    

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.883075                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.866076                

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.852007                

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.842221               

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.829404               

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.820854                   

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.807085                   

[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.794249               

[15]	validation_0-merror:0.35	validation_0-mlogloss:0.781321                   

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.773808                   

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.763746                   

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.757273               

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.753483                   

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.746339               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.743769               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.734189               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.723264               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.716496               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.706648               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.69966                

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.696419               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.694482               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.695112               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.685612               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.676949               

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.673157                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.671094                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.669285                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.668515                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.667127                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.663193                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.65875                     

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.659432                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.658548                    

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.65517                     

[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.652837               

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.650137                    

[44]	validation_0-merror:0.3	validation_0-mlogloss:0.64671                     

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.643629               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.642922               

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.644268               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.645577               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.642223               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.6431                 

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.641444               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.642551               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.642118               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.642091               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.641739               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.641507               

Stopping. Best iteration:                                                      
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.641444


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06532                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02876                 

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.995692                

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.972438                

[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.951192                

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.924513                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.904861                    

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.892145                    

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.874127                

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.858684                

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.845918                   

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.832809                   

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.82182                

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.808432                   

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.797329               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.781987               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.774297               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.768722               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.760812               

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.754795                    

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.746349                    

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.740442               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.730838               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.721618               

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.711539                    

[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.699265               

[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.696797               

[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.69323                

[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.695044               

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.690747                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.684654                    

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.6801                 

[32]	validation_0-merror:0.266667	validation_0-mlogloss:0.677448               

[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.673023               

[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.67009                

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.670067               

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.671799               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.670224               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.668839               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.667733               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.665251               

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.662373               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.664271               

[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.66435                

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.659424               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.656502               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.653398               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.656153               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.657774               

[49]	validation_0-merror:0.25	validation_0-mlogloss:0.652807                   

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.653875               

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.649972               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.648925               

[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.648312               

[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.64958                

[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.650202               

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.648609               

[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.648807               

[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.653611               

Stopping. Best iteration:                                                      
[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.648312


[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05595                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01797                 

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.982562                

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.951508                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.925604                    

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.906647                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.880596                    

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.866198                    

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.842485                

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.826031                

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.809528                    

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.793395                    

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.782176               

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.770119                    

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.763888                    

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.753437               

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.747056               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.743908               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.744794               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.738506               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.73509                

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.728175               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.718662               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.714249               

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.707233                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.699509                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.695278                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.699467                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.700787                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.699777                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.694769                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.691981                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.68916                     

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.684124                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.686133                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.687825                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.686347                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.685224                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.68354                     

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.685694                    

[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.68531                

[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.685817               

[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.684548               

[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.682306               

[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.682284               

[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.681417               

[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.681351               

[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.684429               

[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.691575               

[49]	validation_0-merror:0.3	validation_0-mlogloss:0.687855                    

[50]	validation_0-merror:0.3	validation_0-mlogloss:0.691432                    

[51]	validation_0-merror:0.3	validation_0-mlogloss:0.691355                    

Stopping. Best iteration:                                                      
[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.681351


[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06348                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.0282                  

[2]	validation_0-merror:0.4	validation_0-mlogloss:0.992296                     

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.971115                

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.950844                

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.928321                    

[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.90579                 

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.888449                

[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.870654                

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.855288                

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.839359                   

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.825635               

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.815415               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.80198                

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.794099               

[15]	validation_0-merror:0.35	validation_0-mlogloss:0.780598                   

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.773329                   

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.766934                   

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.761391               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.755334               

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.746577                    

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.740669                    

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.732192                    

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.726435                    

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.718982               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.709733               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.706866               

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.703789               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.703192               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.69811                

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.691653               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.688215               

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.683713                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.679277                    

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.674077               

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.674976               

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.674287                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.670448                    

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.668788               

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.669158                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.668574                    

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.665246               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.663703               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.661311               

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.662271               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.659559               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.659669               

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.661605               

[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.659007               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.655493               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.657048               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.653403               

[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.654031               

[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.653509               

[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.654271               

[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.653724               

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.652518               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.654849               

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.65482                

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.652617               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.653344               

[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.654783               

Stopping. Best iteration:                                                      
[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.652518


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06064                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02628                 

[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.990527                

[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.962668                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.939048                    

[5]	validation_0-merror:0.3	validation_0-mlogloss:0.916574                     

[6]	validation_0-merror:0.283333	validation_0-mlogloss:0.892129                

[7]	validation_0-merror:0.3	validation_0-mlogloss:0.872893                     

[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.855182                

[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.839303                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.829                  

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.818704               

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.808259               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.798242               

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.786612                    

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.779071               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.770255               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.761263               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.753975               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.749825               

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.744705                   

[21]	validation_0-merror:0.35	validation_0-mlogloss:0.738021                   

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.732452               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.721927               

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.714938                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.70741                     

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.703558                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.698097                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.698237                    

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.695437               

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.687629                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.685207                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.682778                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.677899                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.674978                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.672139                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.669649                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.66664                     

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.664944                    

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.665077                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.662303                    

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.658968                    

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.659303                    

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.65759                     

[44]	validation_0-merror:0.3	validation_0-mlogloss:0.65545                     

[45]	validation_0-merror:0.3	validation_0-mlogloss:0.651709                    

[46]	validation_0-merror:0.3	validation_0-mlogloss:0.650225                    

[47]	validation_0-merror:0.3	validation_0-mlogloss:0.651567                    

[48]	validation_0-merror:0.3	validation_0-mlogloss:0.651286                    

[49]	validation_0-merror:0.3	validation_0-mlogloss:0.649669                    

[50]	validation_0-merror:0.3	validation_0-mlogloss:0.647103                    

[51]	validation_0-merror:0.3	validation_0-mlogloss:0.64598                     

[52]	validation_0-merror:0.3	validation_0-mlogloss:0.648489                    

[53]	validation_0-merror:0.3	validation_0-mlogloss:0.64713                     

[54]	validation_0-merror:0.3	validation_0-mlogloss:0.644584                    

[55]	validation_0-merror:0.3	validation_0-mlogloss:0.645057                    

[56]	validation_0-merror:0.3	validation_0-mlogloss:0.647704                    

[57]	validation_0-merror:0.3	validation_0-mlogloss:0.649568                    

[58]	validation_0-merror:0.3	validation_0-mlogloss:0.649776                    

[59]	validation_0-merror:0.3	validation_0-mlogloss:0.647919                    

Stopping. Best iteration:                                                      
[54]	validation_0-merror:0.3	validation_0-mlogloss:0.644584


[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05345                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.35	validation_0-mlogloss:1.01354                     

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.978778                

[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.952184                

[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.926313                

[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.903894                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.879922                

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.865522                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.848441                

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829136                    

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.813239               

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.803077               

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.788658               

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.775945                   

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.768237                   

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.75981                

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.756735               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.752715               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.750981               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.746834               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.743503               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.738953               

[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.731837               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.726876               

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.725754               

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.726056               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.72709                

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.724682               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.724712               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.726271               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.726064               

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.725532               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.724504               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.722917               

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.721946               

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.724049               

[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.729276               

[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.727389               

[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.726341               

[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.723736               

Stopping. Best iteration:                                                      
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.721946


[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06184                      

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02373                      

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.994043                

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.969766                    

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.950409                    

[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.927746                

[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.905131                

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.890677                

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.872334                

[9]	validation_0-merror:0.3	validation_0-mlogloss:0.856939                     

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.846917                    

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.836065               

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.824555                    

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.807428                    

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.795928                    

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.78292                

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.774188               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.763986               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.756192               

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.75132                     

[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.743052               

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.738753                    

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.728845               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.718348               

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.710886                    

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.701099               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.693219               

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.688329               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.689588               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.690148               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.680634               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.671167               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.666063               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.665396               

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.663756               

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.6634                 

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.662597               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.659904               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.658863               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.658082               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.657511               

[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.656648               

[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.65874                

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.659879               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.657974               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.655113               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.652394               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.653172               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.654551               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.652754               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.653281               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.653675               

Stopping. Best iteration:                                                      
[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.652394


[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05843                      

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02457                     

[2]	validation_0-merror:0.35	validation_0-mlogloss:0.989655                    

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.960234                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.932765                    

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.90563                 

[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.876945                

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.853474                

[8]	validation_0-merror:0.3	validation_0-mlogloss:0.834501                     

[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.81846                 

[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.801653               

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.793029                    

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.784624               

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.773409                    

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.762992                    

[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.755916               

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.749201               

[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.739688               

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.737136                    

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.732268                    

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.724171                    

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.720213                    

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.715092                    

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.711944                    

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.709036                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.700755                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.692686                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.691953                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.693434                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.691953                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.685677                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.686961                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.684449                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.682463                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.682307                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.683706                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.689087                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.687369                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.684417                    

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.680761                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.678494                    

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.679311                    

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.679946                    

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.676778                    

[44]	validation_0-merror:0.3	validation_0-mlogloss:0.678475                    

[45]	validation_0-merror:0.3	validation_0-mlogloss:0.67937                     

[46]	validation_0-merror:0.3	validation_0-mlogloss:0.679063                    

[47]	validation_0-merror:0.3	validation_0-mlogloss:0.680486                    

[48]	validation_0-merror:0.3	validation_0-mlogloss:0.682247                    

Stopping. Best iteration:                                                      
[43]	validation_0-merror:0.3	validation_0-mlogloss:0.676778


[0]	validation_0-merror:0.4	validation_0-mlogloss:1.06211                      

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02807                      

[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.993126                

[3]	validation_0-merror:0.416667	validation_0-mlogloss:0.968205                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.943783                    

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.922602                    

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.900345                

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.8877                  

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.869082                

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.8549                      

[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.844317               

[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.829942               

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.82158                    

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.808864               

[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.796039               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.782659               

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.776328                   

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.768713                    

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.764334               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.758536               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.754051               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.749677               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.739837               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.728458               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.721766               

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.709812                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.706277                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.704299                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.70248                     

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.698042                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.688405                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.682626                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.679632                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.676638                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.674595                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.673753                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.671573                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.668049                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.667436                    

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.66676                     

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.665686                    

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.662554               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.661762               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.658231               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.654234               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.649952               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.648502               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.647847               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.649931               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.644888               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.645936               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.642966               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.643703               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.643262               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.643388               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.643619               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.641785               

[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.641546               

[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.64372                

[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.64281                

[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.640285               

[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.638244               

[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.637351               

[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.63765                

[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.636279               

[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.635022               

[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.631675               

[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.631244               

[68]	validation_0-merror:0.266667	validation_0-mlogloss:0.63296                

[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.630628               

[70]	validation_0-merror:0.266667	validation_0-mlogloss:0.634141               

[71]	validation_0-merror:0.266667	validation_0-mlogloss:0.636244               

[72]	validation_0-merror:0.266667	validation_0-mlogloss:0.636104               

[73]	validation_0-merror:0.266667	validation_0-mlogloss:0.635927               

[74]	validation_0-merror:0.266667	validation_0-mlogloss:0.636306               

Stopping. Best iteration:                                                      
[69]	validation_0-merror:0.266667	validation_0-mlogloss:0.630628


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06267                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02948                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.996385                

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.970222                    

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.950876                

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.925514                    

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.900849                    

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.88304                 

[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.868013                

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.852421                

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.837174                   

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.827353                   

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.818472               

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.807416                   

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.796139               

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.785299                    

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.777363               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765336               

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.758998                    

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.754366               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.747944               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.7417                 

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.734171               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.728067               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.721751               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.710839               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.707431               

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.705373               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.705108               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.702799               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.693249               

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.690582                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.686857                    

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.682102                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.678645                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.676637                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.674356                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.672906                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.669425                    

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.667991                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.663737                    

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.663023                    

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.663936                    

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.66099                     

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.659025               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.654721               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.655035               

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.653942               

[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.650645               

[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.648218               

[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.64956                

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.648075               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.64706                

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.645165               

[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.645576               

[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.645196               

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.642701               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.643158               

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.644827               

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.645298               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.645866               

[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.642559               

[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.641905               

[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.641908               

[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.639905               

[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.64102                

[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.638302               

[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.640688               

[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.642206               

[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.645391               

[70]	validation_0-merror:0.3	validation_0-mlogloss:0.645641                    

[71]	validation_0-merror:0.3	validation_0-mlogloss:0.645243                    

Stopping. Best iteration:                                                      
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.638302


[0]	validation_0-merror:0.4	validation_0-mlogloss:1.05564                      

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01644                      

[2]	validation_0-merror:0.4	validation_0-mlogloss:0.981376                     

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.956668                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.931062                    

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.908384                    

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.886498                    

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.871322                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.851383                

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.834806                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.821905               

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.806911               

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.798338               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.786179               

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.774994                   

[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.770272               

[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.761453               

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.754279                   

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.754812               

[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.751504               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.745162               

[21]	validation_0-merror:0.35	validation_0-mlogloss:0.73875                    

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.73273                

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.725012               

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.721537               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.712345               

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.70932                

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.709268               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.707309               

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.707415               

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.701878               

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.699769               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.700913               

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.696756               

[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.693343               

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.693128               

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.693179               

[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.692816               

[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.691986               

[39]	validation_0-merror:0.333333	validation_0-mlogloss:0.693955               

[40]	validation_0-merror:0.333333	validation_0-mlogloss:0.694217               

[41]	validation_0-merror:0.333333	validation_0-mlogloss:0.693592               

[42]	validation_0-merror:0.333333	validation_0-mlogloss:0.693603               

[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.693341               

Stopping. Best iteration:                                                      
[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.691986


[0]	validation_0-merror:0.333333	validation_0-mlogloss:1.0614                  

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.02464                 

[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.988786                

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.964409                

[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.944582                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.923319                

[6]	validation_0-merror:0.4	validation_0-mlogloss:0.901414                     

[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.888998                

[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.873223                

[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.858228                

[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.842064               

[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.827382               

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.817434                   

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.80232                    

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.793656                   

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.77758                

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.76873                    

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.763223               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.757889               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.754533               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748818               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.745035               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.736649               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.728961               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.720843               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.7111                 

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.707508               

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.705825               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.705872               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.705791               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.701247               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.696434               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.694854               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.6927                 

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.688746               

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.687982                    

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.688205               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.685326               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.683138               

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.680905                    

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.680151               

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.679376               

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.678206                    

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.67863                

[44]	validation_0-merror:0.3	validation_0-mlogloss:0.674273                    

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.670731               

[46]	validation_0-merror:0.3	validation_0-mlogloss:0.670818                    

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.670696               

[48]	validation_0-merror:0.3	validation_0-mlogloss:0.673331                    

[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.667196               

[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.666971               

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.664272               

[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.663475               

[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.664179               

[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.664373               

[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.664149               

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.664247               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.667175               

Stopping. Best iteration:                                                      
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.663475


[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05611                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.333333	validation_0-mlogloss:1.02087                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.989474                

[3]	validation_0-merror:0.3	validation_0-mlogloss:0.959076                     

[4]	validation_0-merror:0.3	validation_0-mlogloss:0.930765                     

[5]	validation_0-merror:0.3	validation_0-mlogloss:0.910959                     

[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.886006                

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.866043                

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.847539                    

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.829471                    

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.81296                

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.805602               

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.795234               

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.783885               

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.773653                   

[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.768245               

[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.760919               

[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.754137               

[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.752395               

[19]	validation_0-merror:0.383333	validation_0-mlogloss:0.745188               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.73752                

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.731026               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.72691                

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.723184               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.715793               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.710312               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.706332               

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.705672               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.704011               

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.706483               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.700899               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.698066               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.695027               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.694031               

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.693009               

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.692061               

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.697269                    

[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.693649               

[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.692065               

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.692763                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.69076                     

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.690583                    

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.692785                    

[43]	validation_0-merror:0.316667	validation_0-mlogloss:0.688284               

[44]	validation_0-merror:0.316667	validation_0-mlogloss:0.690012               

[45]	validation_0-merror:0.316667	validation_0-mlogloss:0.68658                

[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.685068               

[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.685364               

[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.686017               

[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.682544               

[50]	validation_0-merror:0.316667	validation_0-mlogloss:0.685862               

[51]	validation_0-merror:0.316667	validation_0-mlogloss:0.686084               

[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.689004               

[53]	validation_0-merror:0.333333	validation_0-mlogloss:0.689237               

[54]	validation_0-merror:0.316667	validation_0-mlogloss:0.690981               

Stopping. Best iteration:                                                      
[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.682544


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06635                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.03234                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.998979                

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.972519                

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.952878                

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.927594                    

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.902335                    

[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.884005                

[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.868618                

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854168                

[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.838564               

[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.828293               

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.819294               

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.808002                   

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.797201                   

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.78623                

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.777102                   

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.767068               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.760478               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.755089               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.74838                

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.741925               

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.734515               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.727299               

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.717974               

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.706219               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.702834               

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.700677               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.699243               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.694948               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.684703               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.682323               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.678988               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.674084               

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.672999               

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.670757               

[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.669856               

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.665604                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.662583                    

[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.66048                

[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.657364               

[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.655295               

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.655228                    

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.65324                

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.650407               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.646906               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.647819               

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.646704               

[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.644473               

[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.642955               

[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.643453               

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.640105               

[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.641151               

[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.641533               

[54]	validation_0-merror:0.3	validation_0-mlogloss:0.642454                    

[55]	validation_0-merror:0.3	validation_0-mlogloss:0.643086                    

[56]	validation_0-merror:0.3	validation_0-mlogloss:0.64094                     

Stopping. Best iteration:                                                      
[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.640105


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06355                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02578                     

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.992305                

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.965884                    

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.94583                     

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.928687                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.91074                     

[7]	validation_0-merror:0.4	validation_0-mlogloss:0.899787                     

[8]	validation_0-merror:0.4	validation_0-mlogloss:0.888183                     

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.872957                

[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.861655               

[11]	validation_0-merror:0.383333	validation_0-mlogloss:0.848689               

[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.842602               

[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.830387               

[14]	validation_0-merror:0.383333	validation_0-mlogloss:0.826002               

[15]	validation_0-merror:0.383333	validation_0-mlogloss:0.813013               

[16]	validation_0-merror:0.383333	validation_0-mlogloss:0.804295               

[17]	validation_0-merror:0.383333	validation_0-mlogloss:0.798469               

[18]	validation_0-merror:0.366667	validation_0-mlogloss:0.791226               

[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.782066               

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.774721                   

[21]	validation_0-merror:0.35	validation_0-mlogloss:0.77181                    

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.765218               

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.7656                 

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.759472               

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.752691               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.746791               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.747707               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.744471               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.741795               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.738942               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.734934               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.73309                

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.730322               

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.727508                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.725361                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.722962                    

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.722563                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.721529                    

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.718862                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.721492                    

[41]	validation_0-merror:0.3	validation_0-mlogloss:0.719968                    

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.718187                    

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.71985                     

[44]	validation_0-merror:0.3	validation_0-mlogloss:0.717058                    

[45]	validation_0-merror:0.3	validation_0-mlogloss:0.714551                    

[46]	validation_0-merror:0.3	validation_0-mlogloss:0.713136                    

[47]	validation_0-merror:0.3	validation_0-mlogloss:0.71354                     

[48]	validation_0-merror:0.3	validation_0-mlogloss:0.710781                    

[49]	validation_0-merror:0.3	validation_0-mlogloss:0.709689                    

[50]	validation_0-merror:0.3	validation_0-mlogloss:0.708524                    

[51]	validation_0-merror:0.3	validation_0-mlogloss:0.708176                    

[52]	validation_0-merror:0.3	validation_0-mlogloss:0.70757                     

[53]	validation_0-merror:0.3	validation_0-mlogloss:0.707951                    

[54]	validation_0-merror:0.3	validation_0-mlogloss:0.707639                    

[55]	validation_0-merror:0.3	validation_0-mlogloss:0.706672                    

[56]	validation_0-merror:0.3	validation_0-mlogloss:0.706189                    

[57]	validation_0-merror:0.3	validation_0-mlogloss:0.703703                    

[58]	validation_0-merror:0.3	validation_0-mlogloss:0.704367                    

[59]	validation_0-merror:0.3	validation_0-mlogloss:0.704409                    

[60]	validation_0-merror:0.3	validation_0-mlogloss:0.70375                     

[61]	validation_0-merror:0.3	validation_0-mlogloss:0.701757                    

[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.701936               

[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.701528               

[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.701306               

[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.701743               

[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.700528               

[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.703986               

[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.704263               

[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.703416               

[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.702562               

[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.704601               

Stopping. Best iteration:                                                      
[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.700528


[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05578                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01401                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.975811                

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.947891                    

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.919872                

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.896105                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.867829                

[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.84728                 

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.829867                

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.814745                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.797886               

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.783165                    

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.770086                    

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.761176                    

[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.755346               

[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.747327               

[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.74449                

[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.742014               

[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.736859               

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.726789                    

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.721105                    

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.724028                    

[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.717881               

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.713904                    

[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.713902               

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.713246                    

[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.710237               

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.708336                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.70701                     

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.706559                    

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.7099                 

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.707371               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.709406               

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.706063               

[34]	validation_0-merror:0.333333	validation_0-mlogloss:0.705771               

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.704746               

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.711605               

[37]	validation_0-merror:0.333333	validation_0-mlogloss:0.709624               

[38]	validation_0-merror:0.333333	validation_0-mlogloss:0.707523               

[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.710099               

[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.70713                

Stopping. Best iteration:                                                      
[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.704746


[0]	validation_0-merror:0.45	validation_0-mlogloss:1.06029                     

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01846                 

[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.985939                

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.960173                

[4]	validation_0-merror:0.4	validation_0-mlogloss:0.936589                     

[5]	validation_0-merror:0.4	validation_0-mlogloss:0.917029                     

[6]	validation_0-merror:0.4	validation_0-mlogloss:0.892294                     

[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.879407                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.854824                

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.838133                    

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.823922               

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.807679               

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.799943               

[13]	validation_0-merror:0.333333	validation_0-mlogloss:0.790735               

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.785231               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.77474                

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.770085               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.765641               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.766671               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.766465               

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.764143                   

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.757194               

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.750875                    

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.743999               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.73873                

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.732908               

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.730054               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.731082               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.732101               

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.732292                    

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.725367               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.723749               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.723862               

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.723669               

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.723092               

[35]	validation_0-merror:0.333333	validation_0-mlogloss:0.724135               

[36]	validation_0-merror:0.333333	validation_0-mlogloss:0.726697               

[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.725645               

[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.725964               

[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.726602               

Stopping. Best iteration:                                                      
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.723092


[0]	validation_0-merror:0.5	validation_0-mlogloss:1.06273                      

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.02542                 

[2]	validation_0-merror:0.35	validation_0-mlogloss:0.990267                    

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.964533                

[4]	validation_0-merror:0.4	validation_0-mlogloss:0.940307                     

[5]	validation_0-merror:0.383333	validation_0-mlogloss:0.917097                

[6]	validation_0-merror:0.416667	validation_0-mlogloss:0.899058                

[7]	validation_0-merror:0.416667	validation_0-mlogloss:0.881945                

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.868142                    

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854232                

[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.84472                

[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.8341                 

[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.828352               

[13]	validation_0-merror:0.366667	validation_0-mlogloss:0.819337               

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.814848                   

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.805014               

[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.797405               

[17]	validation_0-merror:0.366667	validation_0-mlogloss:0.787805               

[18]	validation_0-merror:0.35	validation_0-mlogloss:0.781827                   

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.769804                   

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.765381                   

[21]	validation_0-merror:0.35	validation_0-mlogloss:0.758807                   

[22]	validation_0-merror:0.35	validation_0-mlogloss:0.753144                   

[23]	validation_0-merror:0.35	validation_0-mlogloss:0.746812                   

[24]	validation_0-merror:0.35	validation_0-mlogloss:0.739342                   

[25]	validation_0-merror:0.35	validation_0-mlogloss:0.736621                   

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.731378               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.728493               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.72725                

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.72444                

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.717314               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.715441               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.708776               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.70428                

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.700085               

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.699035               

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.695396               

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.693472                    

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.688813               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.689364               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.687771               

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.686234               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.684221               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.683125               

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.682267               

[45]	validation_0-merror:0.3	validation_0-mlogloss:0.679066                    

[46]	validation_0-merror:0.3	validation_0-mlogloss:0.678339                    

[47]	validation_0-merror:0.3	validation_0-mlogloss:0.6807                      

[48]	validation_0-merror:0.3	validation_0-mlogloss:0.679088                    

[49]	validation_0-merror:0.3	validation_0-mlogloss:0.67636                     

[50]	validation_0-merror:0.3	validation_0-mlogloss:0.674082                    

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.672413               

[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.670954               

[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.67222                

[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.671627               

[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.671065               

[56]	validation_0-merror:0.3	validation_0-mlogloss:0.669605                    

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.667219               

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.665476               

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.666834               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.664288               

[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.664638               

[62]	validation_0-merror:0.283333	validation_0-mlogloss:0.664654               

[63]	validation_0-merror:0.283333	validation_0-mlogloss:0.664568               

[64]	validation_0-merror:0.283333	validation_0-mlogloss:0.664343               

[65]	validation_0-merror:0.283333	validation_0-mlogloss:0.666859               

Stopping. Best iteration:                                                      
[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.664288


[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.0616                  

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0281                       

[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.990482                

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.969104                

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.946541                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922281                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.899552                

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.880517                

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.864495                

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.849552                

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.837045               

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.825294                    

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.813755               

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.80381                     

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.794403                    

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.784284                    

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.776378               

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.769229                    

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.763567                    

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.757258                    

[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.751156               

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.745705                    

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.738182                    

[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.732475               

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.728614                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.725538                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.718457                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.713324                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.710123                    

[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.708342               

[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.700778               

[31]	validation_0-merror:0.266667	validation_0-mlogloss:0.697358               

[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.693798               

[33]	validation_0-merror:0.266667	validation_0-mlogloss:0.688152               

[34]	validation_0-merror:0.266667	validation_0-mlogloss:0.685059               

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.68379                

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.684308               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.681087               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.678437               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.677686               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.674289               

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.671722               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.672118               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.670245               

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.672639               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.668338               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.667205               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.669581               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.668204               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.663991               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.663212               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.660567               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.659159               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.657856               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.657637               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.658515               

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.659367               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.658966               

[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.659357               

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.656395               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.652531               

[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.65106                

[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.648797               

[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.650393               

[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.650141               

[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.651702               

[66]	validation_0-merror:0.283333	validation_0-mlogloss:0.650393               

[67]	validation_0-merror:0.283333	validation_0-mlogloss:0.64918                

Stopping. Best iteration:                                                      
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.648797


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.05703                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.4	validation_0-mlogloss:1.01444                      

[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.976982                

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.95044                 

[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.930407                

[5]	validation_0-merror:0.3	validation_0-mlogloss:0.903645                     

[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.87502                 

[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.861819                

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.842565                

[9]	validation_0-merror:0.3	validation_0-mlogloss:0.820671                     

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.80767                

[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.798528               

[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.786894               

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.774757                    

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.769305                    

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.761232               

[16]	validation_0-merror:0.3	validation_0-mlogloss:0.753207                    

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.747882                    

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.743174                    

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.741882               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.736885               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.737801               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.731143               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.725073               

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.727161                    

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.723322               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.726907               

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.730067               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.733201               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.734378               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.730695               

Stopping. Best iteration:                                                      
[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.723322


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06164                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.4	validation_0-mlogloss:1.0267                       

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.991868                

[3]	validation_0-merror:0.45	validation_0-mlogloss:0.968042                    

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.943807                    

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.920814                

[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.898694                

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.883785                

[8]	validation_0-merror:0.316667	validation_0-mlogloss:0.866495                

[9]	validation_0-merror:0.333333	validation_0-mlogloss:0.851783                

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.840474               

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.825812               

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.817098               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.804226               

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.793316               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.781644               

[16]	validation_0-merror:0.3	validation_0-mlogloss:0.776074                    

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.768533                    

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.762412                    

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759301               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.752949               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.748165               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740097               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.73104                

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.728226                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.716024                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.710373                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.708482                    

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.707519               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.706832               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.698645               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.696262               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.694974               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.690887               

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.688997               

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.6877                 

[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.687877               

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.683181                    

[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.679614               

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.679199                    

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.678608                    

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.675003               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.671621               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.671072               

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.670033               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.667039               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.668552               

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.667411               

[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.669108               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.669373               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.670204               

Stopping. Best iteration:                                                      
[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.667039


[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05102                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01034                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.975102                

[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.944274                

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.919518                

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.895939                    

[6]	validation_0-merror:0.316667	validation_0-mlogloss:0.867156                

[7]	validation_0-merror:0.283333	validation_0-mlogloss:0.850321                

[8]	validation_0-merror:0.283333	validation_0-mlogloss:0.834906                

[9]	validation_0-merror:0.283333	validation_0-mlogloss:0.819746                

[10]	validation_0-merror:0.283333	validation_0-mlogloss:0.804651               

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.795136                    

[12]	validation_0-merror:0.283333	validation_0-mlogloss:0.783256               

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.76969                     

[14]	validation_0-merror:0.283333	validation_0-mlogloss:0.762898               

[15]	validation_0-merror:0.283333	validation_0-mlogloss:0.755243               

[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.748924               

[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.749441               

[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.750744               

[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.74785                

[20]	validation_0-merror:0.283333	validation_0-mlogloss:0.74681                

[21]	validation_0-merror:0.283333	validation_0-mlogloss:0.742929               

[22]	validation_0-merror:0.283333	validation_0-mlogloss:0.736704               

[23]	validation_0-merror:0.283333	validation_0-mlogloss:0.732889               

[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.731059               

[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.724919               

[26]	validation_0-merror:0.283333	validation_0-mlogloss:0.723438               

[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.722425               

[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.724301               

[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.727835               

[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.725573               

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.723971               

[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.722746               

Stopping. Best iteration:                                                      
[27]	validation_0-merror:0.283333	validation_0-mlogloss:0.722425


[0]	validation_0-merror:0.366667	validation_0-mlogloss:1.05669                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01469                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.978398                

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.955296                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.927237                    

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.90095                 

[6]	validation_0-merror:0.333333	validation_0-mlogloss:0.877762                

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.856861                

[8]	validation_0-merror:0.3	validation_0-mlogloss:0.838454                     

[9]	validation_0-merror:0.3	validation_0-mlogloss:0.820772                     

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.808271               

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.794729                    

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.784932                    

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.774755               

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.770249               

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.763381               

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.752927               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.744849               

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.741589                    

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.741761               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.737637               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.739118               

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.734038                    

[23]	validation_0-merror:0.333333	validation_0-mlogloss:0.730278               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.7242                 

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.715864                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.713569                    

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.712605               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.715342               

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.718944               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.71387                

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.709689               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.707514               

[33]	validation_0-merror:0.3	validation_0-mlogloss:0.705236                    

[34]	validation_0-merror:0.3	validation_0-mlogloss:0.704893                    

[35]	validation_0-merror:0.3	validation_0-mlogloss:0.705366                    

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.706164                    

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.705376               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.701293               

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.701553                    

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.703536               

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.704599               

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.70867                     

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.712653                    

Stopping. Best iteration:                                                      
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.701293


[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05096                     

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.00986                 

[2]	validation_0-merror:0.4	validation_0-mlogloss:0.973733                     

[3]	validation_0-merror:0.4	validation_0-mlogloss:0.950958                     

[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.92358                 

[5]	validation_0-merror:0.4	validation_0-mlogloss:0.898754                     

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.87404                 

[7]	validation_0-merror:0.35	validation_0-mlogloss:0.858617                    

[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.847047                

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.827253                    

[10]	validation_0-merror:0.3	validation_0-mlogloss:0.810879                    

[11]	validation_0-merror:0.3	validation_0-mlogloss:0.798807                    

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.790664               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.785761               

[14]	validation_0-merror:0.35	validation_0-mlogloss:0.785951                   

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.779453               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.775019               

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.771991                   

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.76739                     

[19]	validation_0-merror:0.283333	validation_0-mlogloss:0.757116               

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.757555                    

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.757634                    

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.750954               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.749505               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.751085               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.749738               

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.751607               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.752068               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.750819               

Stopping. Best iteration:                                                      
[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.749505


[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06174                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02562                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.996729                

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.968599                    

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.94365                     

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.922653                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.903985                

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.886427                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.870273                

[9]	validation_0-merror:0.383333	validation_0-mlogloss:0.857138                

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.842977               

[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.83005                

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.822059                   

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.812098               

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.80174                

[15]	validation_0-merror:0.333333	validation_0-mlogloss:0.793533               

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.78781                    

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.777871               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767717               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.757857               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.748482               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.744604               

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.738371                    

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.737651               

[24]	validation_0-merror:0.283333	validation_0-mlogloss:0.732962               

[25]	validation_0-merror:0.283333	validation_0-mlogloss:0.729001               

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.726123                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.720026                    

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.715895               

[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.714288               

[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.708897               

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.70484                

[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.700445               

[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.695294               

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.692115               

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.690802               

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.686152               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.685537               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.683406               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.683949               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.67969                

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.677216               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.677028               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.678198               

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.679742               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.676035               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.675116               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.676211               

[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.675859               

[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.675395               

[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.675118               

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.669833               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.668288               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.668114               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.668764               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.669798               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.669021               

[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.669049               

[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.670423               

Stopping. Best iteration:                                                      
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.668114


[0]	validation_0-merror:0.466667	validation_0-mlogloss:1.05808                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01457                 

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.977571                

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.94832                 

[4]	validation_0-merror:0.4	validation_0-mlogloss:0.924003                     

[5]	validation_0-merror:0.416667	validation_0-mlogloss:0.906425                

[6]	validation_0-merror:0.4	validation_0-mlogloss:0.876264                     

[7]	validation_0-merror:0.4	validation_0-mlogloss:0.861018                     

[8]	validation_0-merror:0.35	validation_0-mlogloss:0.8404                      

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.824884                

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.809512                   

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.796655               

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.788732               

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.774843                    

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.76825                     

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.757628                    

[16]	validation_0-merror:0.266667	validation_0-mlogloss:0.750196               

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.744554                    

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.74208                     

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.738984                    

[20]	validation_0-merror:0.3	validation_0-mlogloss:0.737021                    

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.73115                     

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.725259                    

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.719424                    

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.716646               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.70778                

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.703421               

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.701986               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.704695               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.702902               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.698377               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.690742               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.687051               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.687155               

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.684915               

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.685736               

[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.689329               

[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.690841               

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.688196                    

[39]	validation_0-merror:0.3	validation_0-mlogloss:0.690326                    

Stopping. Best iteration:                                                      
[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.684915


[0]	validation_0-merror:0.35	validation_0-mlogloss:1.05316                     

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.366667	validation_0-mlogloss:1.01505                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.977426                

[3]	validation_0-merror:0.366667	validation_0-mlogloss:0.952058                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.926961                    

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.901916                

[6]	validation_0-merror:0.3	validation_0-mlogloss:0.875671                     

[7]	validation_0-merror:0.316667	validation_0-mlogloss:0.859108                

[8]	validation_0-merror:0.3	validation_0-mlogloss:0.845481                     

[9]	validation_0-merror:0.266667	validation_0-mlogloss:0.828236                

[10]	validation_0-merror:0.266667	validation_0-mlogloss:0.812785               

[11]	validation_0-merror:0.283333	validation_0-mlogloss:0.800811               

[12]	validation_0-merror:0.266667	validation_0-mlogloss:0.789268               

[13]	validation_0-merror:0.266667	validation_0-mlogloss:0.778989               

[14]	validation_0-merror:0.266667	validation_0-mlogloss:0.772131               

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.762338                    

[16]	validation_0-merror:0.283333	validation_0-mlogloss:0.759857               

[17]	validation_0-merror:0.283333	validation_0-mlogloss:0.753913               

[18]	validation_0-merror:0.283333	validation_0-mlogloss:0.752005               

[19]	validation_0-merror:0.3	validation_0-mlogloss:0.748812                    

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.742952               

[21]	validation_0-merror:0.316667	validation_0-mlogloss:0.741564               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.737763               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.736528               

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.735422               

[25]	validation_0-merror:0.333333	validation_0-mlogloss:0.736702               

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.734413               

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.735885               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.742497               

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.744149               

[30]	validation_0-merror:0.333333	validation_0-mlogloss:0.746339               

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.745525               

Stopping. Best iteration:                                                      
[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.734413


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06242                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02627                     

[2]	validation_0-merror:0.416667	validation_0-mlogloss:0.991222                

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.969419                

[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.945155                

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.923579                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.901371                    

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.886427                

[8]	validation_0-merror:0.3	validation_0-mlogloss:0.869339                     

[9]	validation_0-merror:0.3	validation_0-mlogloss:0.854664                     

[10]	validation_0-merror:0.316667	validation_0-mlogloss:0.841506               

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.825015               

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.816122                    

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.803645                    

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.792426               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.780023               

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.772775               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.765507               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.760213               

[19]	validation_0-merror:0.333333	validation_0-mlogloss:0.757989               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.752905               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.749035               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740517               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.730924               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.726787               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.714916               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.709012               

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.706435               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.706921               

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.703345               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.694969               

[31]	validation_0-merror:0.333333	validation_0-mlogloss:0.693699               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.690883               

[33]	validation_0-merror:0.333333	validation_0-mlogloss:0.687769               

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.685387               

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.684689               

[36]	validation_0-merror:0.3	validation_0-mlogloss:0.68541                     

[37]	validation_0-merror:0.3	validation_0-mlogloss:0.680623                    

[38]	validation_0-merror:0.3	validation_0-mlogloss:0.676565                    

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.677123               

[40]	validation_0-merror:0.3	validation_0-mlogloss:0.67601                     

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.672576               

[42]	validation_0-merror:0.3	validation_0-mlogloss:0.673613                    

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.673663                    

[44]	validation_0-merror:0.3	validation_0-mlogloss:0.669808                    

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.667555               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.66943                

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.667965               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.669781               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.665082               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.667555               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.664837               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.668123               

[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.668441               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.668705               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.668481               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.666823               

Stopping. Best iteration:                                                      
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.664837


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06114                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.01913                 

[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.982902                

[3]	validation_0-merror:0.383333	validation_0-mlogloss:0.952327                

[4]	validation_0-merror:0.383333	validation_0-mlogloss:0.925379                

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.909648                

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.888411                    

[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.877774                

[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.86161                 

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.848754                    

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.83498                

[11]	validation_0-merror:0.316667	validation_0-mlogloss:0.820021               

[12]	validation_0-merror:0.3	validation_0-mlogloss:0.807659                    

[13]	validation_0-merror:0.3	validation_0-mlogloss:0.796552                    

[14]	validation_0-merror:0.3	validation_0-mlogloss:0.791315                    

[15]	validation_0-merror:0.3	validation_0-mlogloss:0.782079                    

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.77245                

[17]	validation_0-merror:0.3	validation_0-mlogloss:0.76607                     

[18]	validation_0-merror:0.3	validation_0-mlogloss:0.75797                     

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.760967               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.758538               

[21]	validation_0-merror:0.3	validation_0-mlogloss:0.75913                     

[22]	validation_0-merror:0.3	validation_0-mlogloss:0.756917                    

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.754579                    

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.753657                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.751799                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.754671                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.758108                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.752063                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.749296                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.751817                    

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.750209               

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.749557                    

[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.751764               

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.751092               

Stopping. Best iteration:                                                      
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.749296


[0]	validation_0-merror:0.416667	validation_0-mlogloss:1.06166                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.4	validation_0-mlogloss:1.02483                      

[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.991032                

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.970587                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.943196                    

[5]	validation_0-merror:0.316667	validation_0-mlogloss:0.921212                

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.897133                

[7]	validation_0-merror:0.333333	validation_0-mlogloss:0.883521                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.868541                

[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.85363                 

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.840018               

[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.826809               

[12]	validation_0-merror:0.316667	validation_0-mlogloss:0.814938               

[13]	validation_0-merror:0.316667	validation_0-mlogloss:0.801155               

[14]	validation_0-merror:0.316667	validation_0-mlogloss:0.792697               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.780469               

[16]	validation_0-merror:0.316667	validation_0-mlogloss:0.775258               

[17]	validation_0-merror:0.316667	validation_0-mlogloss:0.769076               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.763382               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.757647               

[20]	validation_0-merror:0.316667	validation_0-mlogloss:0.748491               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.745281               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.73696                

[23]	validation_0-merror:0.3	validation_0-mlogloss:0.731565                    

[24]	validation_0-merror:0.3	validation_0-mlogloss:0.723409                    

[25]	validation_0-merror:0.3	validation_0-mlogloss:0.714807                    

[26]	validation_0-merror:0.3	validation_0-mlogloss:0.710074                    

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.706234                    

[28]	validation_0-merror:0.283333	validation_0-mlogloss:0.706551               

[29]	validation_0-merror:0.283333	validation_0-mlogloss:0.70401                

[30]	validation_0-merror:0.283333	validation_0-mlogloss:0.697093               

[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.693081               

[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.690544               

[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.686283               

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.68233                

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.684541               

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.685103               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.681199               

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.679155               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.677024               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.673215               

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.669845               

[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.668768               

[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.667275               

[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.669244               

[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.666207               

[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.665427               

[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.668193               

[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.667282               

[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.663738               

[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.664822               

[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.662252               

[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.662645               

[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.661117               

[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.661904               

[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.660654               

[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.657508               

[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.660356               

[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.661983               

[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.660835               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.661569               

[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.661851               

Stopping. Best iteration:                                                      
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.657508


[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.063                   

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.35	validation_0-mlogloss:1.02911                     

[2]	validation_0-merror:0.316667	validation_0-mlogloss:0.9952                  

[3]	validation_0-merror:0.316667	validation_0-mlogloss:0.973575                

[4]	validation_0-merror:0.333333	validation_0-mlogloss:0.951188                

[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.92797                 

[6]	validation_0-merror:0.35	validation_0-mlogloss:0.905236                    

[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.888379                

[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.872234                

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.858337                

[10]	validation_0-merror:0.383333	validation_0-mlogloss:0.842055               

[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.830869               

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.822337                   

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.809317                   

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.800649               

[15]	validation_0-merror:0.316667	validation_0-mlogloss:0.788169               

[16]	validation_0-merror:0.333333	validation_0-mlogloss:0.781217               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.772999               

[18]	validation_0-merror:0.316667	validation_0-mlogloss:0.767639               

[19]	validation_0-merror:0.316667	validation_0-mlogloss:0.759028               

[20]	validation_0-merror:0.333333	validation_0-mlogloss:0.754903               

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.751472               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.744513               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.738502               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.730424               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.718665               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.7153                 

[27]	validation_0-merror:0.316667	validation_0-mlogloss:0.713875               

[28]	validation_0-merror:0.316667	validation_0-mlogloss:0.713155               

[29]	validation_0-merror:0.316667	validation_0-mlogloss:0.711281               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.703935               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.698147               

[32]	validation_0-merror:0.316667	validation_0-mlogloss:0.69471                

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.688535               

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.682833               

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.682402               

[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.682768               

[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.678913               

[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.67713                

[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.675452               

[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.672139               

[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.669444               

[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.669198               

[43]	validation_0-merror:0.3	validation_0-mlogloss:0.667486                    

[44]	validation_0-merror:0.3	validation_0-mlogloss:0.663241                    

[45]	validation_0-merror:0.3	validation_0-mlogloss:0.659763                    

[46]	validation_0-merror:0.3	validation_0-mlogloss:0.66068                     

[47]	validation_0-merror:0.3	validation_0-mlogloss:0.66242                     

[48]	validation_0-merror:0.3	validation_0-mlogloss:0.660044                    

[49]	validation_0-merror:0.3	validation_0-mlogloss:0.657409                    

[50]	validation_0-merror:0.3	validation_0-mlogloss:0.657832                    

[51]	validation_0-merror:0.3	validation_0-mlogloss:0.652109                    

[52]	validation_0-merror:0.3	validation_0-mlogloss:0.651895                    

[53]	validation_0-merror:0.3	validation_0-mlogloss:0.65038                     

[54]	validation_0-merror:0.3	validation_0-mlogloss:0.652395                    

[55]	validation_0-merror:0.3	validation_0-mlogloss:0.651141                    

[56]	validation_0-merror:0.3	validation_0-mlogloss:0.650128                    

[57]	validation_0-merror:0.3	validation_0-mlogloss:0.651087                    

[58]	validation_0-merror:0.283333	validation_0-mlogloss:0.652563               

[59]	validation_0-merror:0.283333	validation_0-mlogloss:0.652723               

[60]	validation_0-merror:0.283333	validation_0-mlogloss:0.652764               

[61]	validation_0-merror:0.283333	validation_0-mlogloss:0.652076               

Stopping. Best iteration:                                                      
[56]	validation_0-merror:0.3	validation_0-mlogloss:0.650128


[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.06157                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02522                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.996009                

[3]	validation_0-merror:0.333333	validation_0-mlogloss:0.969355                

[4]	validation_0-merror:0.35	validation_0-mlogloss:0.948485                    

[5]	validation_0-merror:0.35	validation_0-mlogloss:0.926179                    

[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.899349                

[7]	validation_0-merror:0.366667	validation_0-mlogloss:0.883528                

[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.86512                 

[9]	validation_0-merror:0.35	validation_0-mlogloss:0.847485                    

[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.834048               

[11]	validation_0-merror:0.35	validation_0-mlogloss:0.820124                   

[12]	validation_0-merror:0.333333	validation_0-mlogloss:0.811798               

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.800784                   

[14]	validation_0-merror:0.333333	validation_0-mlogloss:0.791623               

[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.782857               

[16]	validation_0-merror:0.35	validation_0-mlogloss:0.77786                    

[17]	validation_0-merror:0.35	validation_0-mlogloss:0.768423                   

[18]	validation_0-merror:0.35	validation_0-mlogloss:0.76488                    

[19]	validation_0-merror:0.366667	validation_0-mlogloss:0.765159               

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.756244                   

[21]	validation_0-merror:0.366667	validation_0-mlogloss:0.753463               

[22]	validation_0-merror:0.333333	validation_0-mlogloss:0.747272               

[23]	validation_0-merror:0.35	validation_0-mlogloss:0.741128                   

[24]	validation_0-merror:0.333333	validation_0-mlogloss:0.736478               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.726682               

[26]	validation_0-merror:0.333333	validation_0-mlogloss:0.727127               

[27]	validation_0-merror:0.333333	validation_0-mlogloss:0.725427               

[28]	validation_0-merror:0.333333	validation_0-mlogloss:0.724839               

[29]	validation_0-merror:0.333333	validation_0-mlogloss:0.723506               

[30]	validation_0-merror:0.316667	validation_0-mlogloss:0.718704               

[31]	validation_0-merror:0.316667	validation_0-mlogloss:0.716484               

[32]	validation_0-merror:0.333333	validation_0-mlogloss:0.714453               

[33]	validation_0-merror:0.316667	validation_0-mlogloss:0.712685               

[34]	validation_0-merror:0.316667	validation_0-mlogloss:0.713461               

[35]	validation_0-merror:0.316667	validation_0-mlogloss:0.71283                

[36]	validation_0-merror:0.316667	validation_0-mlogloss:0.715964               

[37]	validation_0-merror:0.316667	validation_0-mlogloss:0.710697               

[38]	validation_0-merror:0.316667	validation_0-mlogloss:0.709721               

[39]	validation_0-merror:0.316667	validation_0-mlogloss:0.709539               

[40]	validation_0-merror:0.316667	validation_0-mlogloss:0.707565               

[41]	validation_0-merror:0.316667	validation_0-mlogloss:0.708232               

[42]	validation_0-merror:0.316667	validation_0-mlogloss:0.70511                

[43]	validation_0-merror:0.333333	validation_0-mlogloss:0.702654               

[44]	validation_0-merror:0.333333	validation_0-mlogloss:0.705193               

[45]	validation_0-merror:0.333333	validation_0-mlogloss:0.702614               

[46]	validation_0-merror:0.316667	validation_0-mlogloss:0.701332               

[47]	validation_0-merror:0.316667	validation_0-mlogloss:0.699863               

[48]	validation_0-merror:0.316667	validation_0-mlogloss:0.700554               

[49]	validation_0-merror:0.316667	validation_0-mlogloss:0.700983               

[50]	validation_0-merror:0.333333	validation_0-mlogloss:0.699759               

[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.699597               

[52]	validation_0-merror:0.316667	validation_0-mlogloss:0.701533               

[53]	validation_0-merror:0.316667	validation_0-mlogloss:0.704401               

[54]	validation_0-merror:0.333333	validation_0-mlogloss:0.704517               

[55]	validation_0-merror:0.333333	validation_0-mlogloss:0.708864               

[56]	validation_0-merror:0.333333	validation_0-mlogloss:0.70841                

Stopping. Best iteration:                                                      
[51]	validation_0-merror:0.333333	validation_0-mlogloss:0.699597


[0]	validation_0-merror:0.483333	validation_0-mlogloss:1.06185                 

Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.


Will train until validation_0-mlogloss hasn't improved in 5 rounds.            

[1]	validation_0-merror:0.316667	validation_0-mlogloss:1.02797                 

[2]	validation_0-merror:0.333333	validation_0-mlogloss:0.995242                

[3]	validation_0-merror:0.35	validation_0-mlogloss:0.968155                    

[4]	validation_0-merror:0.316667	validation_0-mlogloss:0.941609                

[5]	validation_0-merror:0.333333	validation_0-mlogloss:0.9186                  

[6]	validation_0-merror:0.366667	validation_0-mlogloss:0.900858                

[7]	validation_0-merror:0.383333	validation_0-mlogloss:0.883906                

[8]	validation_0-merror:0.383333	validation_0-mlogloss:0.866278                

[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.854172                

[10]	validation_0-merror:0.35	validation_0-mlogloss:0.843097                   

[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.832559               

[12]	validation_0-merror:0.35	validation_0-mlogloss:0.828848                   

[13]	validation_0-merror:0.35	validation_0-mlogloss:0.815858                   

[14]	validation_0-merror:0.366667	validation_0-mlogloss:0.808606               

[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.796681               

[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.789641               

[17]	validation_0-merror:0.333333	validation_0-mlogloss:0.779448               

[18]	validation_0-merror:0.333333	validation_0-mlogloss:0.773442               

[19]	validation_0-merror:0.35	validation_0-mlogloss:0.763738                   

[20]	validation_0-merror:0.35	validation_0-mlogloss:0.753177                   

[21]	validation_0-merror:0.333333	validation_0-mlogloss:0.745989               

[22]	validation_0-merror:0.316667	validation_0-mlogloss:0.740189               

[23]	validation_0-merror:0.316667	validation_0-mlogloss:0.734366               

[24]	validation_0-merror:0.316667	validation_0-mlogloss:0.729479               

[25]	validation_0-merror:0.316667	validation_0-mlogloss:0.724188               

[26]	validation_0-merror:0.316667	validation_0-mlogloss:0.721629               

[27]	validation_0-merror:0.3	validation_0-mlogloss:0.717631                    

[28]	validation_0-merror:0.3	validation_0-mlogloss:0.713624                    

[29]	validation_0-merror:0.3	validation_0-mlogloss:0.709004                    

[30]	validation_0-merror:0.3	validation_0-mlogloss:0.705691                    

[31]	validation_0-merror:0.3	validation_0-mlogloss:0.703605                    

[32]	validation_0-merror:0.3	validation_0-mlogloss:0.700606                    

[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.696722               

[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.693142               

[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.692769               

[36]	validation_0-merror:0.283333	validation_0-mlogloss:0.688401               

[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.68689                

[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.682724               

[39]	validation_0-merror:0.283333	validation_0-mlogloss:0.682511               

[40]	validation_0-merror:0.283333	validation_0-mlogloss:0.679737               

[41]	validation_0-merror:0.283333	validation_0-mlogloss:0.678364               

[42]	validation_0-merror:0.283333	validation_0-mlogloss:0.676765               

[43]	validation_0-merror:0.283333	validation_0-mlogloss:0.673059               

[44]	validation_0-merror:0.283333	validation_0-mlogloss:0.674774               

[45]	validation_0-merror:0.283333	validation_0-mlogloss:0.674514               

[46]	validation_0-merror:0.283333	validation_0-mlogloss:0.67196                

[47]	validation_0-merror:0.283333	validation_0-mlogloss:0.674286               

[48]	validation_0-merror:0.283333	validation_0-mlogloss:0.672623               

[49]	validation_0-merror:0.283333	validation_0-mlogloss:0.671868               

[50]	validation_0-merror:0.283333	validation_0-mlogloss:0.672113               

[51]	validation_0-merror:0.283333	validation_0-mlogloss:0.669324               

[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.667224               

[53]	validation_0-merror:0.283333	validation_0-mlogloss:0.667321               

[54]	validation_0-merror:0.283333	validation_0-mlogloss:0.668305               

[55]	validation_0-merror:0.283333	validation_0-mlogloss:0.668384               

[56]	validation_0-merror:0.283333	validation_0-mlogloss:0.668534               

[57]	validation_0-merror:0.283333	validation_0-mlogloss:0.667319               

Stopping. Best iteration:                                                      
[52]	validation_0-merror:0.283333	validation_0-mlogloss:0.667224


100%|██████████| 100/100 [00:25<00:00,  3.85it/s, best loss: 0.6259377947387595]
In [52]:
hyperTime = (endHyper - startHyper).seconds
print(f'Hyperopt took {hyperTime} seconds')
Hyperopt took 25 seconds

Best

In [53]:
best
Out[53]:
{'colsample_bytree': 0.8632009299148728,
 'gamma': 0.09139281803354446,
 'max_depth': 2.0,
 'min_child_weight': 2.0,
 'subsample': 0.6541858602650205}

Fit

In [54]:
model = xgb.XGBClassifier(n_estimators=10000,
                       max_depth=int(best['max_depth']),
                       min_child_weight=best['min_child_weight'],
                       gamma=best['gamma'],
                       colsample_bytree=best['colsample_bytree'],
                       subsample=best['subsample'],
                       objective='mlogloss',
                       num_class=3,
                       learning_rate=0.1,
                       verbosity=1)

model.fit(X_train_proc, y_train,
        early_stopping_rounds=5,
        eval_metric=[ 'merror', 'mlogloss'],
        eval_set=eval_set,
        verbose=True)
[0]	validation_0-merror:0.433333	validation_0-mlogloss:1.0623
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.383333	validation_0-mlogloss:1.02758
[2]	validation_0-merror:0.366667	validation_0-mlogloss:0.997696
[3]	validation_0-merror:0.35	validation_0-mlogloss:0.976374
[4]	validation_0-merror:0.366667	validation_0-mlogloss:0.954761
[5]	validation_0-merror:0.366667	validation_0-mlogloss:0.930088
[6]	validation_0-merror:0.35	validation_0-mlogloss:0.907913
[7]	validation_0-merror:0.35	validation_0-mlogloss:0.893572
[8]	validation_0-merror:0.333333	validation_0-mlogloss:0.876303
[9]	validation_0-merror:0.316667	validation_0-mlogloss:0.861628
[10]	validation_0-merror:0.333333	validation_0-mlogloss:0.847562
[11]	validation_0-merror:0.333333	validation_0-mlogloss:0.832038
[12]	validation_0-merror:0.3	validation_0-mlogloss:0.822053
[13]	validation_0-merror:0.3	validation_0-mlogloss:0.809749
[14]	validation_0-merror:0.3	validation_0-mlogloss:0.796062
[15]	validation_0-merror:0.3	validation_0-mlogloss:0.783798
[16]	validation_0-merror:0.3	validation_0-mlogloss:0.775887
[17]	validation_0-merror:0.3	validation_0-mlogloss:0.767968
[18]	validation_0-merror:0.3	validation_0-mlogloss:0.76186
[19]	validation_0-merror:0.3	validation_0-mlogloss:0.755367
[20]	validation_0-merror:0.3	validation_0-mlogloss:0.747893
[21]	validation_0-merror:0.3	validation_0-mlogloss:0.741631
[22]	validation_0-merror:0.3	validation_0-mlogloss:0.732091
[23]	validation_0-merror:0.3	validation_0-mlogloss:0.721343
[24]	validation_0-merror:0.3	validation_0-mlogloss:0.715531
[25]	validation_0-merror:0.3	validation_0-mlogloss:0.705141
[26]	validation_0-merror:0.3	validation_0-mlogloss:0.70256
[27]	validation_0-merror:0.3	validation_0-mlogloss:0.699858
[28]	validation_0-merror:0.3	validation_0-mlogloss:0.699242
[29]	validation_0-merror:0.3	validation_0-mlogloss:0.69522
[30]	validation_0-merror:0.3	validation_0-mlogloss:0.688759
[31]	validation_0-merror:0.283333	validation_0-mlogloss:0.684569
[32]	validation_0-merror:0.283333	validation_0-mlogloss:0.684399
[33]	validation_0-merror:0.283333	validation_0-mlogloss:0.68032
[34]	validation_0-merror:0.283333	validation_0-mlogloss:0.67783
[35]	validation_0-merror:0.283333	validation_0-mlogloss:0.676854
[36]	validation_0-merror:0.3	validation_0-mlogloss:0.676476
[37]	validation_0-merror:0.283333	validation_0-mlogloss:0.672422
[38]	validation_0-merror:0.283333	validation_0-mlogloss:0.671519
[39]	validation_0-merror:0.266667	validation_0-mlogloss:0.671072
[40]	validation_0-merror:0.266667	validation_0-mlogloss:0.669496
[41]	validation_0-merror:0.266667	validation_0-mlogloss:0.666265
[42]	validation_0-merror:0.266667	validation_0-mlogloss:0.660851
[43]	validation_0-merror:0.266667	validation_0-mlogloss:0.656861
[44]	validation_0-merror:0.266667	validation_0-mlogloss:0.651981
[45]	validation_0-merror:0.266667	validation_0-mlogloss:0.647741
[46]	validation_0-merror:0.266667	validation_0-mlogloss:0.647779
[47]	validation_0-merror:0.266667	validation_0-mlogloss:0.646361
[48]	validation_0-merror:0.266667	validation_0-mlogloss:0.646174
[49]	validation_0-merror:0.266667	validation_0-mlogloss:0.641243
[50]	validation_0-merror:0.266667	validation_0-mlogloss:0.641293
[51]	validation_0-merror:0.266667	validation_0-mlogloss:0.639008
[52]	validation_0-merror:0.266667	validation_0-mlogloss:0.638498
[53]	validation_0-merror:0.266667	validation_0-mlogloss:0.638152
[54]	validation_0-merror:0.266667	validation_0-mlogloss:0.638958
[55]	validation_0-merror:0.266667	validation_0-mlogloss:0.638329
[56]	validation_0-merror:0.266667	validation_0-mlogloss:0.635721
[57]	validation_0-merror:0.266667	validation_0-mlogloss:0.636025
[58]	validation_0-merror:0.266667	validation_0-mlogloss:0.637975
[59]	validation_0-merror:0.266667	validation_0-mlogloss:0.637099
[60]	validation_0-merror:0.266667	validation_0-mlogloss:0.634249
[61]	validation_0-merror:0.266667	validation_0-mlogloss:0.632616
[62]	validation_0-merror:0.266667	validation_0-mlogloss:0.632989
[63]	validation_0-merror:0.266667	validation_0-mlogloss:0.633265
[64]	validation_0-merror:0.266667	validation_0-mlogloss:0.629943
[65]	validation_0-merror:0.266667	validation_0-mlogloss:0.629353
[66]	validation_0-merror:0.266667	validation_0-mlogloss:0.625938
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.625421
[68]	validation_0-merror:0.283333	validation_0-mlogloss:0.626359
[69]	validation_0-merror:0.283333	validation_0-mlogloss:0.6275
[70]	validation_0-merror:0.283333	validation_0-mlogloss:0.630734
[71]	validation_0-merror:0.283333	validation_0-mlogloss:0.632735
[72]	validation_0-merror:0.283333	validation_0-mlogloss:0.632444
Stopping. Best iteration:
[67]	validation_0-merror:0.266667	validation_0-mlogloss:0.625421

Out[54]:
XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
              colsample_bytree=0.8632009299148728, gamma=0.09139281803354446,
              learning_rate=0.1, max_delta_step=0, max_depth=2,
              min_child_weight=2.0, missing=None, n_estimators=10000, n_jobs=1,
              nthread=None, num_class=3, objective='multi:softprob',
              random_state=0, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
              seed=None, silent=True, subsample=0.6541858602650205,
              verbosity=1)

Predict

In [55]:
proba  = model.predict_proba(X_test_proc, model.best_iteration)
pred   = np.argmax(proba, axis=1)
truth  = y_test.astype('category').cat.codes
acc    = errors(truth, pred);
Accuracy 0.7333333333333333
Confusion Matrix
[[21  0  2]
 [ 2 18  7]
 [ 4  5 16]]
Classification Report
              precision    recall  f1-score   support

           0       0.78      0.91      0.84        23
           1       0.78      0.67      0.72        27
           2       0.64      0.64      0.64        25

    accuracy                           0.73        75
   macro avg       0.73      0.74      0.73        75
weighted avg       0.73      0.73      0.73        75

Log Results

In [56]:
resultsDF.loc['Hyperopt'] = [hyperTime, acc]
resultsDF
Out[56]:
Time Accuracy
Default 0.0 0.666667
GridSearch 145.0 0.733333
RandomSearch 15.0 0.693333
Hyperopt 25.0 0.733333

Visualize

  • Not much variation in log loss given the search space
In [94]:
plt.figure(figsize=(10,8))
plotting.main_plot_history(trials)
avg best error: 0.6259377947387595
In [95]:
plt.figure(figsize=(10,8))
plotting.main_plot_histogram(trials)
Showing Histogram of 100 jobs
In [96]:
plt.figure(figsize=(10,8))
plotting.main_plot_vars(trials)
finite loss range 0.6259377947387595 0.7539914088944594 -0.37406220526124045

Takeaways

  • Grid Search - finds a good value, extremely expensive
  • Consider greedy grid search
    • Tune most important variable
    • Tune next most important, Third etc
    • Changes from N x N x N to N + N + N
    • May miss interactions & combinations
  • Random Search - Better in practice with respect to search and training time
  • Bayesian Optimization > Random Search > Grid Search

Bonus

In [60]:
exploreDF = df.copy()

Create Interactions

In [61]:
# 2 Way
exploreDF['bone_flesh'] = exploreDF.bone_length * exploreDF.rotting_flesh
exploreDF['bone_hair']  = exploreDF.bone_length * exploreDF.hair_length
exploreDF['bone_soul']  = exploreDF.bone_length * exploreDF.has_soul
exploreDF['hair_flesh'] = exploreDF.hair_length * exploreDF.rotting_flesh
exploreDF['hair_soul']  = exploreDF.hair_length * exploreDF.has_soul
exploreDF['flesh_soul'] = exploreDF.hair_length * exploreDF.rotting_flesh

# 3 Way
exploreDF['bone_flesh_hair'] = exploreDF.bone_length * exploreDF.rotting_flesh * exploreDF.hair_length
exploreDF['flesh_hair_soul'] = exploreDF.rotting_flesh * exploreDF.hair_length * exploreDF.has_soul
exploreDF['hair_soul_bone']  = exploreDF.hair_length * exploreDF.has_soul * exploreDF.bone_length
exploreDF['soul_bone_flesh'] = exploreDF.has_soul * exploreDF.bone_length * exploreDF.rotting_flesh
exploreDF.head()
Out[61]:
id bone_length rotting_flesh hair_length has_soul color type bone_flesh bone_hair bone_soul hair_flesh hair_soul flesh_soul bone_flesh_hair flesh_hair_soul hair_soul_bone soul_bone_flesh
0 0 0.354512 0.350839 0.465761 0.781142 clear Ghoul 0.124377 0.165118 0.276924 0.163407 0.363825 0.163407 0.057930 0.127644 0.128980 0.097156
1 1 0.575560 0.425868 0.531401 0.439899 green Goblin 0.245113 0.305853 0.253188 0.226307 0.233763 0.226307 0.130253 0.099552 0.134545 0.107825
2 2 0.467875 0.354330 0.811616 0.791225 black Ghoul 0.165783 0.379735 0.370195 0.287580 0.642171 0.287580 0.134552 0.227541 0.300456 0.131171
3 4 0.776652 0.508723 0.636766 0.884464 black Ghoul 0.395101 0.494546 0.686921 0.323937 0.563196 0.323937 0.251586 0.286511 0.437408 0.349452
4 5 0.566117 0.875862 0.418594 0.636438 green Ghost 0.495840 0.236973 0.360298 0.366630 0.266409 0.366630 0.207555 0.233337 0.150818 0.315571

Pipeline

In [62]:
lb_featuresN = ['bone_length', 
               'rotting_flesh',
               'hair_length',
               'has_soul',
               'bone_flesh',
               'bone_hair',
               'bone_soul',
               'hair_flesh',
               'hair_soul',
               'flesh_soul',
               'bone_flesh_hair',
               'flesh_hair_soul',
               'hair_soul_bone',
               'soul_bone_flesh']
lb_transformerN = Pipeline(steps=[('scaler', StandardScaler())], verbose=True)

lb_featuresC = ['color']
lb_transformerC = Pipeline(steps=[('ohe', OneHotEncoder())], verbose=True)

lb_preprocessor = ColumnTransformer(transformers=[
    ('numerical', lb_transformerN, lb_featuresN),
    ('categorical', lb_transformerC, lb_featuresC)
])
In [63]:
y_lb = exploreDF.type
X_lb = exploreDF.drop(columns=['type', 'id'])
In [64]:
X_lb_train, X_lb_test, y_lb_train, y_lb_test = train_test_split(X_lb, y_lb, test_size=0.2, random_state=46)
X_lb_train, X_lb_val, y_lb_train, y_lb_val = train_test_split(X_lb_train, y_lb_train, test_size=0.2, random_state=46)
In [65]:
lb_pipe = Pipeline(steps=[('pre', lb_preprocessor)])
X_lb_train_proc = lb_pipe.fit_transform(X_lb_train, y_lb_train)
X_lb_val_proc   = lb_pipe.fit_transform(X_lb_val, y_lb_val)
X_lb_test_proc  = lb_pipe.fit_transform(X_lb_test, y_lb_test)
[Pipeline] ............ (step 1 of 1) Processing scaler, total=   0.0s
[Pipeline] ............... (step 1 of 1) Processing ohe, total=   0.0s
[Pipeline] ............ (step 1 of 1) Processing scaler, total=   0.0s
[Pipeline] ............... (step 1 of 1) Processing ohe, total=   0.0s
[Pipeline] ............ (step 1 of 1) Processing scaler, total=   0.0s
[Pipeline] ............... (step 1 of 1) Processing ohe, total=   0.0s

Models

Boosted Model

In [116]:
bst_lb = xgb.XGBClassifier(n_estimators=50,
                       max_depth=2,
                       min_child_weight=2,
                       subsample=.95,
                       colsample_bytree=.8,
                       gamma=0.05,
                       objective='mlogloss',
                       num_class=3,
                       learning_rate=0.1,
                       verbosity=1)
In [117]:
lb_eval_set = [(X_lb_val_proc, y_lb_val)]
bst_lb.fit(X_lb_train_proc, y_lb_train,
        early_stopping_rounds=5,
        eval_metric=[ 'merror', 'mlogloss'],
        eval_set=lb_eval_set,
        verbose=True)
[0]	validation_0-merror:0.383333	validation_0-mlogloss:1.05467
Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping.

Will train until validation_0-mlogloss hasn't improved in 5 rounds.
[1]	validation_0-merror:0.416667	validation_0-mlogloss:1.01837
[2]	validation_0-merror:0.383333	validation_0-mlogloss:0.979855
[3]	validation_0-merror:0.4	validation_0-mlogloss:0.945277
[4]	validation_0-merror:0.4	validation_0-mlogloss:0.917638
[5]	validation_0-merror:0.4	validation_0-mlogloss:0.895643
[6]	validation_0-merror:0.383333	validation_0-mlogloss:0.870751
[7]	validation_0-merror:0.4	validation_0-mlogloss:0.852929
[8]	validation_0-merror:0.366667	validation_0-mlogloss:0.834907
[9]	validation_0-merror:0.366667	validation_0-mlogloss:0.816185
[10]	validation_0-merror:0.366667	validation_0-mlogloss:0.801999
[11]	validation_0-merror:0.366667	validation_0-mlogloss:0.786399
[12]	validation_0-merror:0.366667	validation_0-mlogloss:0.77528
[13]	validation_0-merror:0.383333	validation_0-mlogloss:0.765977
[14]	validation_0-merror:0.4	validation_0-mlogloss:0.757123
[15]	validation_0-merror:0.366667	validation_0-mlogloss:0.74825
[16]	validation_0-merror:0.366667	validation_0-mlogloss:0.741618
[17]	validation_0-merror:0.4	validation_0-mlogloss:0.735218
[18]	validation_0-merror:0.4	validation_0-mlogloss:0.728307
[19]	validation_0-merror:0.416667	validation_0-mlogloss:0.720048
[20]	validation_0-merror:0.416667	validation_0-mlogloss:0.715385
[21]	validation_0-merror:0.416667	validation_0-mlogloss:0.709896
[22]	validation_0-merror:0.416667	validation_0-mlogloss:0.70585
[23]	validation_0-merror:0.416667	validation_0-mlogloss:0.704988
[24]	validation_0-merror:0.383333	validation_0-mlogloss:0.702797
[25]	validation_0-merror:0.416667	validation_0-mlogloss:0.697685
[26]	validation_0-merror:0.416667	validation_0-mlogloss:0.693642
[27]	validation_0-merror:0.416667	validation_0-mlogloss:0.693233
[28]	validation_0-merror:0.416667	validation_0-mlogloss:0.692352
[29]	validation_0-merror:0.416667	validation_0-mlogloss:0.693874
[30]	validation_0-merror:0.416667	validation_0-mlogloss:0.692548
[31]	validation_0-merror:0.416667	validation_0-mlogloss:0.693407
[32]	validation_0-merror:0.416667	validation_0-mlogloss:0.69269
[33]	validation_0-merror:0.4	validation_0-mlogloss:0.690586
[34]	validation_0-merror:0.416667	validation_0-mlogloss:0.687647
[35]	validation_0-merror:0.4	validation_0-mlogloss:0.684704
[36]	validation_0-merror:0.4	validation_0-mlogloss:0.683338
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.680728
[38]	validation_0-merror:0.4	validation_0-mlogloss:0.682796
[39]	validation_0-merror:0.4	validation_0-mlogloss:0.682563
[40]	validation_0-merror:0.4	validation_0-mlogloss:0.681857
[41]	validation_0-merror:0.4	validation_0-mlogloss:0.682713
[42]	validation_0-merror:0.4	validation_0-mlogloss:0.685013
Stopping. Best iteration:
[37]	validation_0-merror:0.4	validation_0-mlogloss:0.680728

Out[117]:
XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
              colsample_bytree=0.8, gamma=0.05, learning_rate=0.1,
              max_delta_step=0, max_depth=2, min_child_weight=2, missing=None,
              n_estimators=50, n_jobs=1, nthread=None, num_class=3,
              objective='multi:softprob', random_state=0, reg_alpha=0,
              reg_lambda=1, scale_pos_weight=1, seed=None, silent=True,
              subsample=0.95, verbosity=1)

Logistic Regression Model

In [118]:
lr = LogisticRegression(penalty='l2', C=1)
lr.fit(X_lb_train_proc, y_lb_train.astype('category').cat.codes)
/Users/wilsons/anaconda3/envs/pyjup/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.
  FutureWarning)
/Users/wilsons/anaconda3/envs/pyjup/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:469: FutureWarning: Default multi_class will be changed to 'auto' in 0.22. Specify the multi_class option to silence this warning.
  "this warning.", FutureWarning)
Out[118]:
LogisticRegression(C=1, class_weight=None, dual=False, fit_intercept=True,
                   intercept_scaling=1, l1_ratio=None, max_iter=100,
                   multi_class='warn', n_jobs=None, penalty='l2',
                   random_state=None, solver='warn', tol=0.0001, verbose=0,
                   warm_start=False)

Random Forest

In [119]:
rf = RandomForestClassifier(n_estimators=100,
                           min_samples_leaf=6)
rf.fit(X_lb_train_proc, y_lb_train.astype('category').cat.codes)
Out[119]:
RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
                       max_depth=None, max_features='auto', max_leaf_nodes=None,
                       min_impurity_decrease=0.0, min_impurity_split=None,
                       min_samples_leaf=6, min_samples_split=2,
                       min_weight_fraction_leaf=0.0, n_estimators=100,
                       n_jobs=None, oob_score=False, random_state=None,
                       verbose=0, warm_start=False)
In [120]:
rf.feature_importances_
Out[120]:
array([2.42050595e-02, 5.32070503e-02, 9.01799166e-02, 6.84810604e-02,
       3.16055116e-02, 1.06806079e-01, 8.30925123e-02, 2.93121850e-02,
       1.64083204e-01, 3.29900525e-02, 4.71243275e-02, 5.54248839e-02,
       1.68815573e-01, 3.80319009e-02, 1.08664775e-05, 0.00000000e+00,
       1.71498216e-04, 2.53337505e-03, 0.00000000e+00, 3.92494373e-03])
In [121]:
exploreDF.shape
Out[121]:
(371, 17)

Predict

In [122]:
truth = y_lb_test.astype('category').cat.codes

Boosted

In [123]:
xgb_proba = bst_lb.predict_proba(X_lb_test_proc, bst_lb.best_iteration)
xgb_pred  = np.argmax(xgb_proba, axis=1)
acc   = errors(truth, xgb_pred);
Accuracy 0.7066666666666667
Confusion Matrix
[[20  0  3]
 [ 2 19  8]
 [ 5  4 14]]
Classification Report
              precision    recall  f1-score   support

           0       0.74      0.87      0.80        23
           1       0.83      0.66      0.73        29
           2       0.56      0.61      0.58        23

    accuracy                           0.71        75
   macro avg       0.71      0.71      0.70        75
weighted avg       0.72      0.71      0.71        75

Logistic

In [124]:
lr_pred = lr.predict(X_lb_test_proc)
acc = errors(truth, lr_pred)
Accuracy 0.7466666666666667
Confusion Matrix
[[23  0  2]
 [ 3 19  9]
 [ 1  4 14]]
Classification Report
              precision    recall  f1-score   support

           0       0.85      0.92      0.88        25
           1       0.83      0.61      0.70        31
           2       0.56      0.74      0.64        19

    accuracy                           0.75        75
   macro avg       0.75      0.76      0.74        75
weighted avg       0.77      0.75      0.75        75

Random Forest

In [125]:
rf_pred = rf.predict(X_lb_test_proc)
acc = errors(truth, rf_pred)
Accuracy 0.7333333333333333
Confusion Matrix
[[21  0  2]
 [ 1 19  8]
 [ 5  4 15]]
Classification Report
              precision    recall  f1-score   support

           0       0.78      0.91      0.84        23
           1       0.83      0.68      0.75        28
           2       0.60      0.62      0.61        24

    accuracy                           0.73        75
   macro avg       0.73      0.74      0.73        75
weighted avg       0.74      0.73      0.73        75

Ensemble

  • Ensemble and bote the mode
  • This is a "hard" vote where we look at the class
  • A "soft" vote takes the probabilities into consideration (add up and pick max)
In [126]:
from scipy.stats import mode
votesDF = pd.DataFrame(columns=['XGB', 'Logistic', 'RF', 'Pred', 'Truth'])
votesDF['XGB'] = pred
votesDF['XGB'] = votesDF.XGB.astype('category').cat.codes
votesDF['Logistic'] = lr_pred
votesDF['RF'] = rf_pred
votesDF['Pred'] = mode(votesDF[['XGB', 'Logistic', 'RF']], axis=1)[0]
votesDF['Truth'] = truth.reset_index(drop=True)
votesDF.head()
Out[126]:
XGB Logistic RF Pred Truth
0 1 1 1 1 1
1 1 1 1 1 0
2 0 0 0 0 0
3 2 2 2 2 2
4 1 1 1 1 1
In [127]:
ensembleAcc = (votesDF.Pred == votesDF.Truth).sum() / votesDF.shape[0]
print(f'Ensemble Accuracy {ensembleAcc}')
Ensemble Accuracy 0.7466666666666667

Voting Classifier

  • Example using soft voting
In [128]:
v = VotingClassifier(estimators=[
    ('xgb', bst_lb),
    ('lr',  lr),
    ('rf',  rf)
], voting='soft', weights=[1,1,1])
In [129]:
v.fit(X_lb_train_proc, y_lb_train)
/Users/wilsons/anaconda3/envs/pyjup/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.
  FutureWarning)
/Users/wilsons/anaconda3/envs/pyjup/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:469: FutureWarning: Default multi_class will be changed to 'auto' in 0.22. Specify the multi_class option to silence this warning.
  "this warning.", FutureWarning)
Out[129]:
VotingClassifier(estimators=[('xgb',
                              XGBClassifier(base_score=0.5, booster='gbtree',
                                            colsample_bylevel=1,
                                            colsample_bytree=0.8, gamma=0.05,
                                            learning_rate=0.1, max_delta_step=0,
                                            max_depth=2, min_child_weight=2,
                                            missing=None, n_estimators=50,
                                            n_jobs=1, nthread=None, num_class=3,
                                            objective='multi:softprob',
                                            random_state=0, reg_alpha=0,
                                            reg_lambda=1, scale_pos_weight=1,
                                            s...
                                                     class_weight=None,
                                                     criterion='gini',
                                                     max_depth=None,
                                                     max_features='auto',
                                                     max_leaf_nodes=None,
                                                     min_impurity_decrease=0.0,
                                                     min_impurity_split=None,
                                                     min_samples_leaf=6,
                                                     min_samples_split=2,
                                                     min_weight_fraction_leaf=0.0,
                                                     n_estimators=100,
                                                     n_jobs=None,
                                                     oob_score=False,
                                                     random_state=None,
                                                     verbose=0,
                                                     warm_start=False))],
                 flatten_transform=True, n_jobs=None, voting='soft',
                 weights=[1, 1, 1])
In [130]:
pred = v.predict(X_lb_test_proc)
errors(pred, y_lb_test);
Accuracy 0.76
Confusion Matrix
[[21  3  3]
 [ 0 20  3]
 [ 1  8 16]]
Classification Report
              precision    recall  f1-score   support

       Ghost       0.95      0.78      0.86        27
       Ghoul       0.65      0.87      0.74        23
      Goblin       0.73      0.64      0.68        25

    accuracy                           0.76        75
   macro avg       0.78      0.76      0.76        75
weighted avg       0.78      0.76      0.76        75

Out[130]:
0.76

Final

  • Really standard approach to this dataset
    • Clean up data
    • Missing & Standardizing
    • Split train, val, test
    • Train baseline model
    • Hypertune (Hyperopt)
  • Bonus work
    • Add more EDA
    • Feature engineer interactions
    • Simple ensemble (soft / hard votes)
    • .76 vs leaderboard
  • More things to try?
    • Hypertune ensemble models
    • Add more models to ensemble
    • Add color - interations
    • Polynomial features
In [ ]: